distance learning phd data science

Where To Earn A Ph.D. In Data Science Online In 2024

Updated: Apr 3, 2024, 2:15pm

Data science is among the most in-demand skill sets in the modern economy. Data science professionals help businesses make decisions by creating analytical models, combining elements of math, artificial intelligence, machine learning and statistics.

If you want to pursue a high-paying data science career or teach data science at the college level, you may want to earn a terminal degree in the field. Online Ph.D. in data science programs allow you to advance your career while balancing other responsibilities at work or home.

We found two online data science programs that met our ranking criteria. Read on to learn more about these schools and find answers to frequently asked questions about data science.

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Online Ph.D. in Data Science Option

Capitol technology university, national university.

Located just outside Washington, D.C., in South Laurel, Maryland, Capitol Technology University offers an online doctoral degree in business analytics and data science. The program includes a limited residency requirement: Students must complete a course in contemporary research in management on campus, during which they take a qualifying exam. The degree requires 54 to 66 credits, and students can graduate within three years.

All students must also complete a dissertation and an oral defense of their work. The program costs $950 per credit for both in-state and out-of-state learners. Retired and active duty military receive a tuition discount.

At a Glance

• School Type: Private
• Application Fee: $100
• Degree Credit Requirements: 54 to 66 credits
• Program Enrollment Options: Part-time
• Notable Major-Specific Courses: Management theory in a global economy; analytics and decision analysis
• Concentrations Available: N/A
• In-Person Requirements: Yes, for residency

Based in San Diego, California, National University (NU) offers a variety of online programs, including a Ph.D. in data science. NU’s program requires 60 credits and takes an estimated 40 months. NU aims for flexibility, delivering coursework asynchronously and offering a new start date each Monday. The curriculum comprises 20 courses covering data science principles and data preparation methods.

NU runs on the quarter system and charges $442 per quarter unit for graduate courses. The program does not include any in-person requirements.

• Application Fee: Free
• Degree Credit Requirements: 60 credits
• Notable Major-Specific Courses: Principles of data science, data preparation methods
• In-Person Requirements: No

How To Find the Right Online Ph.D. in Data Science for You

Consider your future goals.

A Ph.D. in data science makes sense if you want to become a college professor , conduct original research or compete for the highest-paying and most cognitively demanding business analytics and machine learning positions. If you plan to pursue other careers, you may not need a terminal degree in this field.

If you want to work in academia, make sure your chosen doctorate in data science includes a dissertation requirement. A dissertation allows you to perform original research and contribute to scholarship in your field before you graduate. In turn, you’ll get a sense of your chosen career and a head start on professional publication.

Understand Your Expenses and Financing Options

Per-credit tuition rates for the programs in our guide ranged from $442 to $950. A 60-credit degree from NU totals about $26,500, while the 66-credit option at Capitol Tech costs more than $62,000.

Private universities, including NU and Capitol Tech, tend to cost more than public schools. Graduate students at nonprofit private universities paid an average of $20,408 per year in 2022-23, according to the National Center for Education Statistics . Over the course of a typical three-year Ph.D. program, this translates to about $61,000. This roughly matches Capitol Tech’s tuition, while NU offers a more affordable program.

While a Ph.D. might help you land a lucrative role in the long run, the upfront investment is still significant. Make sure to fill out the FAFSA ® to access federal student aid. This application is the gateway to opportunities like scholarships, grants and loans. You can pursue similar opportunities through schools and nonprofit organizations.

As a doctoral student, you may be able to access graduate assistantships or stipends, but these are often reserved for on-campus students who teach undergraduates or assist professors with research.

Should You Enroll in a Ph.D. in Data Science Online?

Pursuing a Ph.D. in data science online suits a specific kind of learner. To decide if that’s you, ask yourself a few key questions:

• What’s my budget? In some cases, public universities allow students who exclusively enroll in online courses to pay in-state or otherwise discounted tuition rates. Even if you have to pay full price, distance learners generally save on costs associated with housing and transportation.
• What are my other commitments? Distance learning is often a good fit for parents and students who need to work full time while pursuing their degree. Learners with outside responsibilities might pursue a program with asynchronous course delivery, which eliminates scheduled class sessions.
• What’s my learning style? Distance learning requires a great deal of discipline, organization and time management. If you need external accountability or prefer the structure of a peer group or physical classroom, on-campus learning might offer a better fit.

Accreditation for Online Ph.D.s in Data Science

There are two important types of college accreditation to consider: institutional and programmatic.

Institutional accreditation is essential; it involves vetting schools to ensure the quality of their finances, academics, and faculty, among other areas. The Council for Higher Education Accreditation (CHEA) and U.S. Department of Education oversee the regional agencies that administer this process.

You should only enroll at institutionally accredited schools. Otherwise, you will be ineligible for federal financial aid. You can check a school’s accreditation status on its website or by visiting the directory on CHEA’s website .

Individual departments and degrees earn programmatic accreditation based on their curriculum, faculty and learner outcomes. However, this process has not been widely established for data science programs, so it shouldn’t make or break your enrollment decision. However, you can still keep an eye out for accreditation from the Data Science Council of America (DASCA).

Our Methodology

We ranked two accredited, nonprofit colleges offering online Ph.D.s in data science in the U.S. using 15 data points in the categories of student experience, credibility, student outcomes and affordability. We pulled data for these categories from reliable resources such as the Integrated Postsecondary Education Data System ; private, third-party data sources; and individual school and program websites.

Data is accurate as of February 2024. Note that because online doctorates are relatively uncommon, fewer schools meet our ranking standards at the doctoral level.

We scored schools based on the following metrics:

Student Experience:

• Student-to-faculty ratio
• Socioeconomic diversity
• Availability of online coursework
• Total number of graduate assistants
• Proportion of graduate students enrolled in at least some distance education

Credibility:

• Fully accredited
• Programmatic accreditation status
• Nonprofit status

Student Outcomes:

• Overall graduation rate
• Median earnings 10 years after graduation

Affordability:

• In-state graduate student tuition
• In-state graduate student fees
• Alternative tuition plans offered
• Median federal student loan debt
• Student loan default rate

We listed the two schools in the U.S. that met our ranking criteria.

Find our full list of methodologies here .

Frequently Asked Questions (FAQs) About Earning a Ph.D. in Data Science Online

Can i do a ph.d. in data science online.

Yes, you can. National University and Capitol Technology University both offer Ph.D. programs in data science that you can complete mostly or entirely online.

Is a Ph.D. worth it for data science?

It depends on your goals and circumstances. A Ph.D. in data science may be a good fit if you want to pursue a career in research or academia or compete for advanced, lucrative positions in business analytics, artificial intelligence or machine learning.

Is it okay to get a Ph.D. online?

Yes, as long as the program is accredited. Distance learning requires strong motivation and self-discipline, so it suits some students better than others.

Can you become a professor with an online Ph.D.?

Yes, you can. Online diplomas feature the same coursework and degree requirements as in-person degrees, and your degree won’t say “online”.

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Top 10 Best Data Science PhD Online Programs

According to IBM, poor data quality costs the US economy around $3 trillion annually. Globally, that figure could be as high as $14 trillion. As a result, the demand for data scientists has soared in recent years, making a PhD in data science a highly sought-after degree.

Data scientists are highly skilled professionals who use cutting-edge technology to make sense of large, often unstructured, datasets.  They are necessary for almost every industry to help provide analysis for a data-driven business environment. Data scientists use proven strategies such as clustering, behavioral analytics, and data mining to analyze and organize data to make informed decisions.

Becoming a data scientist requires a higher education to gain the necessary skills for this field. One of the best ways of doing so is earning a degree online. Better still, earning a   data science PhD online will give you the most comprehensive set of tools required to advance your career.

Related Articles:

• Duties of a Typical Data Scientist
• What is a Data Science Ph.D Program Like?
• Does a Data Science Ph.D Significantly Increase Earning Power?
• How is a Data Science Degree Different from a Cybersecurity Degree?
• Tips for Finding Success in a Data Science Ph.D. Program

Methodology for Ranking the Best Online Data Sciene PhDs

A PhD in data science online is a great choice for data scientists who may not want to relocate or take time away from work. We looked at over 20 different doctoral programs in data science.  We based our search on College Navigator and DataScience Community. This determined our top 10 for our data science PhD program ranking . We included data analytics doctoral programs in our search.  The best programs had:

• limited residency requirements
• a highly interactive curriculum
• a variety of courses in data science
• support from expert-level faculty

We then based our data science PhD programs ranking on the following considerations and assigned points accordingly:

Student-to-Faculty Ratio

• 15:1 or less = 5 Points
• 16:1 to 20:1 = 3 Points
• Greater than 20:1 = 1 Point

Average Graduate Tuition

• Less than $10,000 per year = 5 Points
• $10,000 to $15,000 per year = 4 Points
• $15,001 to $20,000 per year = 3 Points
• $20,001 to $25,000 per year = 2 Points
• Greater than $25,000 per year = 1 Point

Cost is a factor we considered when developing our list. However, many PhD-level data science programs provide students with assistance to cover the cost of their tuition. We reviewed each school’s average graduate tuition rates from College Navigator, a website run by the National Center for Education Statistics. It provides information on institutions of higher education around the country.

Tuition rates can vary from program to program. We looked specifically at tuition rates for graduate school. Always consult the university to find out specifics related to their online PhD data science program. Check if they offer any financial aid or scholarships to reduce your overall cost.

Below are the best online doctorate degrees in data science based on our criteria. Our list highlights the best of the best in quality  online doctorate in data science  programs.

Data Science Doctorate Online Degree Programs Ranking

#1. capitol technology university – laurel maryland, doctor of philosophy (phd) in business analytics and data science.

Program Website

• Student to Faculty Ratio: 9:1
• Average Graduate Tuition: $11,340/year
• Total Points: 9

Capitol Technology University offers our top data science online PhD. You will learn strategies and skills that prepare you for senior positions in the public or private sector. The low residency format allows you to balance your education with your established career. Most courses are offered online and cover areas like:

• analytics and decision analysis
• business intelligence
• machine learning
• data mining
• applied statistics and visualization for analytics
• Big Data warehousing and analytics systems

You must visit campus to complete your qualifying exam and work one-on-one and in groups to prepare for your dissertation. Core PhD in data analytics online courses are taught by working professionals who stay current on emerging developments in the field. You can feel confident you’re gaining professional skills that are in demand by top employers.

Program Pros:

• Most coursework is completed online
• Small class sizes
• Low average graduate tuition rate
• Tuition discounts for military

Program Cons:

• Abundance of program and institutional fees
• On-campus residency is required for some classes

#2. Dakota State University – Madison, South Dakota

Doctor of science in information systems.

• Student to Faculty Ratio: 18:1
• Average Graduate Tuition: $5,999/year in-state; $11,199/year out-of-state
• Total Points: 8 (points were determined using in-state tuition)

DSU features one of the most flexible data science Doctor of Philosophy programs in this ranking. You can take courses online or on-campus and attend full or part-time. You can choose from three different areas of specialization as well:

• data management
• health care information systems
• information systems cybersecurity
• network administration and security

You can also choose to complete a general specialization. This requires you to take courses in application development, network administration and security, and data management. Core courses for all specializations cover relevant areas such as information systems, applied statistics, and web application development. You’ll also take classes in research, enterprise modeling, and data management, to name a few.

As a full-time student with a master’s degree, you should be able to complete this program in just three years. However, it can take as much as seven years to finish. When you graduate, you will have the tools needed to solve complex data science problems in a variety of settings, including academics, business and finance, and government.

• Multiple options for completing the program, including online or on-campus
• Multiple specialization options
• Just three years needed to complete the degree as a full-time master’s-level student
• Very low average in-state tuition
• Long list of knowledge requirements for admission
• High out-of-state tuition compared to in-state tuition

#3. Indiana Wesleyan University – Marion, Indiana

Online doctor of business administration – data analytics specialization.

• Student to Faculty Ratio: 17:1
• Average Graduate Tuition: $9,731/year
• Total Points: 8

This online program follows a cohort format, meaning you progress through the curriculum with the same classmates in each class. This format encourages the development of collegiality between you and your classmates and also enhances your working relationship with your professors.

The curriculum is problem-based. You’ll learn how to collect, analyze, organize, and interpret data. Many opportunities exist to enhance your writing and communication skills as well. Some of the courses you’ll take include the following:

• Data Analytics and Research
• Academic Writing for Business
• Foundations of Doctoral Research
• Leadership and Global-Based Teams

You must also complete a comprehensive examination, a scholar-practitioner paper, and an applied doctoral project.

The comprehensive examination must be completed prior to the applied doctoral project, and involves a critique of relevant research and a demonstration of your subject matter expertise. The purpose of the paper is to build the required research and writing skills to produce a piece worthy of submitting to industry journals. The doctoral project takes the place of a traditional dissertation. The project focuses on developing an evidence-based consulting report that directly addresses a real-world problem in the business world.

• Extremely affordable
• The applied doctoral project gives you real-world experience prior to graduating
• Data analytics focus is highly sought-after in business
• An on-campus residency is required
• The program includes a religious focus, which might conflict with your personal beliefs

#4. National University – San Diego, California

Doctor of philosophy in data science online.

• Student to Faculty Ratio: 16:1
• Average Graduate Tuition: $15,912/year
• Total Points: 6

National University features a research-oriented online PhD in data science that is aligned with industry needs. The unique one-on-one learning model provides unmatched personal attention – you’re paired with a professor for each course to give you the guidance you need to succeed.

New courses begin weekly and last eight weeks (except dissertation courses, which are 12 weeks long). This allows you to fit your education into your busy personal and professional schedule. This program includes courses that cover areas like big data development, data preparation methods, and data curation. You’ll also take courses such as:

• multivariate analysis
• data visualization and communication
• exploratory data analysis
• databases and business intelligence
• inferential and predictive analytics

You can complete this program in as little as three-and-a-half years. Once you graduate, you can pursue any number of data science-related careers. This includes database architecture, database administration, and data warehousing, among many others.

• One-on-one learning model provides the utmost support
• Program applications are accepted year-round
• Monthly program start dates
• High average graduate tuition rates compared to other programs on this list

#5. The University of Rhode Island – Kingston, Rhode Island

Online phd in computer science.

• Average Graduate Tuition: $15,402/year in-state; $29,904/year out-of-state
• Total Points: 6 (points were determined using in-state tuition)

The computer science PhD program at the University of Rhode Island is a flexible program available to you as a full- or part-time student. Most, but not all, computer science courses are available online, making it a good choice if you’re a professional in the Kingston area looking for a low-residency program.

Course offerings include options like Programming for Data Science, Data Structures and Abstractions, and Database Management Systems. All told, you must complete 52 or more credits of coursework, 18 dissertation research credits, and at least two credits of seminars.

You can earn your degree in four years, provided you study full-time. Admission is for the fall semester or spring semester; bear that in mind when applying to ensure you meet application deadlines for the next academic term.

• Full-time and part-time options are available
• A statistics PhD option is available
• Some on-campus coursework is required
• Expensive compared to other options on this list

#6. University of North Texas – Denton, Texas

Phd in information science-data science.

• Student to Faculty Ratio: 23:1
• Average Graduate Tuition: $7,160/year in-state; $14,720/year out-of-state

UNT’s Department of Information Science offers a PhD with interdisciplinary training. You will gain experience in doctoral research in data science and related areas that enhance your critical thinking skills, disciplinary thinking, and research capabilities. The program offers numerous concentration areas, allowing you to specialize your degree according to your interests. The available specializations are as follows:

• Consumer Behavior and Experience Management
• Cybersecurity
• Data Science
• Geospatial Information Science
• Health Informatics
• Knowledge Management
• Linguistics

Though most coursework is online, you must come to campus for a residential experience that gives you a high level of interaction with your professors. The faculty in this program are all highly experienced and provide real-world guidance to support your theoretical learning.

UNT is committed to keeping costs affordable. The university offers various financial aid opportunities, including grants, competitive scholarships, fellowships, and assistantship opportunities.

• Interdisciplinary curriculum
• Low in-state tuition
• Extremely high student-to-faculty ratio

#7. Johns Hopkins University – Baltimore, Maryland

Drph in health policy and management-public health informatics.

Program Websi te

• Student to Faculty Ratio: 6:1
• Average Graduate Tuition: $62,840/year

The Bloomberg School of Public Health at Johns Hopkins University features an online Doctor of Public Health with a concentration in health policy and management. Within the concentration is a track in public health informatics. It is delivered in a flexible part-time format. This data science-related doctorate degree requires you to complete a series of high-level courses in addition to a practicum experience during which you apply what you’ve learned in your courses in a public health informatics setting. A dissertation is also required.

Some of the courses you’ll take include the following:

• Statistical Reasoning in Public Health
• Advanced Data Analysis Workshop
• Qualitative Research Theory and Methods
• Introduction to Qualitative Data Analysis for Public Health
• Mixed Methods for Research in Public Health

Once you graduate, you can seek employment in mid- to senior-level positions in government agencies, non-profit organizations, or international public health organizations.

• Johns Hopkins is a prestigious university
• Healthcare-focused data science degree has high value
• The program can be completed entirely online
• Extremely expensive
• A Master of Public Health is required to apply

#8. Grand Canyon University – Phoenix, Arizona

Dba degree in data analytics – quantitative.

• Student to Faculty Ratio: 20:1
• Average Graduate Tuition: $10,138/year
• Total Points: 5

Grand Canyon University features an online, cost-effective DBA in data analytics that focuses on evidence-based theories and practices. You will learn to use statistical tools to clean numerical data, determine data’s reliability, and conduct data analyses. You’ll gain these skills in courses like:

• Analytic Foundations for Business Leaders
• Approaches to Research Design and Data Analysis
• Emerging Issues in Financial Management
• Foundations of Research Design
• Enterprise Data Complexity

You will also complete a dissertation. Unlike traditional PhD programs, this one requires you to begin the dissertation from the outset. You’ll work closely with faculty members to conduct original research and utilize what you learn to inform a detailed data analytics dissertation.

This program allows you to complete your coursework where and when it’s convenient.  However, you must come to campus for two or three five-day residencies in Phoenix. These on-campus experiences allow you to network with other students and participate in mentorship opportunities and professional development with faculty members.

• Emphasis on mentorship from faculty members
• Quantitative research focus has wide applicability for careers
• Several on-campus residencies are required
• Program is designed specifically for business executives, which may preclude you from applying

#9. Colorado Technical University – Colorado Springs, Colorado

Doctor of computer science – big data analytics.

• Student to Faculty Ratio: 31:1
• Average Graduate Tuition: $14,104/year

The online doctorate in big data analytics from Colorado Technical University helps you learn the latest industry tools to produce meaningful insights from unstructured data. The data science curriculum is primarily delivered online, so you can build your course schedule around other obligations. Multiple start dates are offered throughout the year as well.

Another advantage of this program is that courses begin every five weeks, so that you can begin at your convenience. Despite requiring 100 credits to graduate, you can complete this degree in about three years of full-time studies. During that time, you’ll take courses focusing on:

• Advanced Topics in Database Systems
• Advanced Quantitative Analysis
• Artificial Intelligence in Real World Problem Solving
• Business Intelligence
• Futuring and Innovation

The big data analytics specialty also requires completing a research proposal and a dissertation. You’ll work on each project extensively throughout the program in preparation for defending your dissertation before graduation.

• Training in big data is in high demand in business and industry
• Fully online program
• Poor student-to-faculty ratio
• The program does not lead to licensure or certification

#10. University of the Southwest – Hobbs, New Mexico

Dba – data analytics.

• Student to Faculty Ratio: 19:1
• Average Graduate Tuition: $23,364/year

The University of the Southwest is a private, non-profit Christian university offering accredited degrees to online students. USW features an online doctorate in data analytics that prepares you to solve business challenges using a quantitative research approach. This data science program follows a mentorship model. You will work closely with faculty members to achieve your professional goals while benefitting from their real-world expertise.

This program’s coursework is delivered 100% online and there are no required residencies (though you have the option of participating in an on-campus or online residency if you choose). The curriculum focuses on foundational business data analytics skills. This includes data visualization, predictive modeling, and forecasting, to name a few.

A free laptop is included with the first course. There is no additional cost for textbooks or course materials – these components are included with tuition. You also benefit from a transfer policy allowing you to use up to 12 credits earned in a program from another regionally accredited university.

• The program is completely online
• Data analytics skills are widely applicable in various businesses and industries
• Free laptop, textbooks, and other course materials
• Relatively expensive tuition
• At least three years of data analytics experience is required for admission

Frequently Asked Questions

Is a phd in data science worth it.

A PhD in data science is the most advanced level of data science education available and can take years to complete. By the end, you’ll have a wide span of knowledge and understanding of the data science field. You will also have the education you’ll need to get top positions in research and academia.

A PhD is typically a research-oriented program. It can take some time before you hit a financial payoff after earning your PhD. High-paying jobs, such as data scientist jobs requiring a PhD, also usually require significant experience. You’ll need to be patient!

The decision to earn a PhD is not to be taken lightly.  There are many benefits (as well as some downsides) of getting a PhD in data science.

Advantages:

• Research is a key piece of earning a PhD.  You can conduct research during your dissertation that could advance the industry or solve a long-standing issue.  Very exciting!
• There are several specializations in data science.  Some master’s degree programs even offer concentration areas that PhD programs can build upon.  Areas like biomedical data science, health informatics, and business analytics allow you to build upon your previous education and make meaningful contributions to the field.
• University partnerships provide you with the opportunity to work with real data sets. You can collaborate with others on research efforts, gaining new perspectives and insights.
• Some programs accept students with only a bachelor’s degree.  Popular bachelor’s degree majors include analytics and computer science.  You can earn a master’s while pursuing a PhD!
• Graduates with a PhD may see an increase in job opportunities in areas like academia and research.

Potential Disadvantages:

• A PhD takes a significant amount of time to complete.  If you opt to complete a full-time program, you could be missing out on three to five years of financial earnings and real-world skill development.
• You’ll need to find a way to fund your PhD.  Some students finance their degree on their own with the help of financial aid.  Others apply to programs that fully fund students and offer stipends.
• Technology changes rapidly.  Your time spent completing research could take away from gaining on-the-job industry data analysis knowledge and skills.
• Make certain your desired position requires a PhD.  Many industries are perfectly happy with a bachelor’s degree or master’s in data science. It could also be a related area like computer science, as long as the applicant has relevant work experience.

If you decide to pursue a PhD, your hard work and commitment to your doctoral program and the field of data science will eventually pay off. You’ll be eligible for some of the field’s highest-paying and most prestigious jobs.

What jobs are available to a data scientist with a PhD?

Whether you complete your  data science PhD online  or on-campus, the job prospects are the same. A PhD can open the door to various exciting data science careers. Data science PhD graduates are primarily in demand in academic and industrial settings.

PhD data science programs are the primary avenue for getting a data-related position in academia. These positions can be fiercely competitive, though. Data science grads who can stay up to date on the latest trends and technologies are highly sought after. Business intelligence and machine learning are two specialized areas in demand by industry executives.

How long does it take to get a PhD in Data Science?

A data science doctoral program is a significant investment of time and money. You can expect to spend three to four years working on your PhD in data science. The specific amount of time it takes to complete a doctoral program in data science is determined by the degree requirements and your schedule.

Hybrid and online data science programs usually provide extra flexibility if you have a non-traditional schedule (e.g., you work a regular 8-5 job). Accelerated doctoral program options may be a great option for completing your doctorate in data science, saving you time and money along the way.

What are the requirements for a PhD in data science degree program?

Admissions requirements.

Admission to a PhD program is extremely competitive.  Because of the intense nature of the program, an extremely limited number of doctoral degree applicants are accepted each year.  You must submit a strong application packet that makes you stand out from the competition.

You should have a minimum of a master’s degree with a cumulative GPA of at least 3.0 on a 4.0 scale. This does not need to be from a data science masters program , but of course, it will help. Some online data science programs may also require you to submit letters of recommendation, a statement of purpose, and GRE scores. You might also be required to provide a curriculum vitae or a resume. In some instances, an interview (either in person or web-based video) may also be required.

A doctorate degree is typically comprised of several different parts. These include the following:

Coursework:

A PhD in data science requires coursework that helps build a strong educational foundation. Core courses may cover areas that include:

• statistical methods
• knowledge management
• machine learning.

Comprehensive Exam:

Before beginning the doctoral dissertation process, you may need to complete a comprehensive examination. This exam allows faculty to assess your level of knowledge and understanding of the field before beginning your dissertation.

Dissertation Proposal

The dissertation proposal is a comprehensive statement describing the research you want to accomplish. As part of this process, you will:

• state your research question
• discuss the general scope of your project
• discuss how you’ll do it
• explain how it contributes value to the field

Dissertation Research:

Dissertation research is the final piece of doctoral study. You complete the dissertation research project you designed and summarize your research and findings in your dissertation paper.

Field Experience:

Some data science graduate programs require you to complete a field experience as part of the curriculum. You may work with an outside organization or a research center on-campus to create original research or solve a real-world data science problem.

Special Projects:

Many data science doctoral programs offer you the opportunity to participate in special projects. These unique professional development opportunities allow you to develop areas of specialized knowledge that can help them build your resume.

Will I need any licenses or certificates to get a job in data science?

There’s no standard industry license or certification for data science professionals. Data professionals who want to stand out from the competition have a variety of certification options available. These specialized training programs allow you to develop technical skills that recruiters and hiring managers look for. Some popular certifications include:

Cloudera Data Platform (CDP) Generalist Certification

This certification validates proficiency with the Cloudera platform. Certification applies to multiple roles including, data analysts, developers, and system architects. The exam takes 90 minutes to complete and consists of 60 questions.

Data Science Council of America (DASCA) Principal Data Scientist

The Data Science Council of America is an industry leader for professional development opportunities in data science. It offers the Principal Data Science (PDS) certification, which is designed for professionals with at least ten years of experience working with big data. The primary audience is “seasoned and high-achiever data science thought and practice leaders.” The certificate is awarded after meeting eligibility criteria and passing a self-paced online exam. At a minimum, completing the certification process will take several months. You have a year to finish, though.

Microsoft Certified Azure AI Fundamentals

If you want a certification to validate your knowledge and skills in machine learning and artificial intelligence related to Azure services, this might be the certificate for you. This is a fundamental certification, so it’s great if you’re new to AI and need to demonstrate your proficiency to your employer. The certification test takes 45 minutes to complete.

10 Best Online PhD in Data Science Programs [2024 Guide]

If you have a passion for mining information from large amounts of data, you should consider exploring PhD in Data Science online programs.

Furthering your education in this field can help take your career to the next level. By earning your PhD, you may increase not only your knowledge but also your salary.

Editorial Listing ShortCode:

Universities Offering Online Data Science Doctorate Degree Programs

Methodology: The following school list is in alphabetical order. To be included, a college or university must be regionally accredited and offer degree programs online or in a hybrid format. In addition, the schools offer online data science programs .

1. Capella University

Founded in 1993, private Capella University offers online doctorate, master’s, and bachelor’s degrees. The Minneapolis-based school’s 38,000 enrolled students represent 50 states and 61 countries. Doctoral students account for more than 27 percent of Capella University’s student body.

Capella University is accredited by the Higher Learning Commission.

2. Capitol Technology University

Capitol Technology University is a private university located near the nation’s capital in South Laurel, Maryland. Established in 1927, the university now offers undergraduate and master’s programs in business, computer science, cybersecurity, and engineering.

Capitol Technology University is a military-friendly school founded by a Navy veteran. It holds the prestigious SC Media Award for Best Cybersecurity Higher Education Program. The school’s annual enrollment is approximately 850 students.

Capitol Technology University  is accredited by the Middle States Commission on Higher Education.

3. Colorado Technical University

Colorado Technical University was founded in 1965. This private university offers undergraduate, graduate, and doctoral degrees in business management and technology.

The school has earned the U.S. News & World Report “Best for Veterans” designation, the Council of College and Military Educators (CCME) Institution Award, and recognition as a center of Academic Excellence in Information Assurance and Cyber Defense from the NSA and Department of Homeland Security.

Annual enrollment stands at around 26,000 students.

Colorado Technical University  is accredited by the Higher Learning Commission.

4. Columbia University

New York City’s Columbia University is a private Ivy League research university founded in 1754. It stands today as the oldest university in New York City. Columbia operates four undergraduate schools and 15 graduate/professional schools.

Bachelor’s, master’s, and PhD programs covering business, medicine, liberal arts, technology, and political science are available. Student enrollment at Columbia stands at roughly 33,413.

Columbia  is accredited by the Middle States Commission on Higher Education.

5. Grand Canyon University

Grand Canyon University is a private Christian college based in Phoenix, Arizona. With a student enrollment of 70,000 students, it is considered to be the world’s largest Christian university.

Grand Canyon University offers bachelor’s, master’s, and doctoral degrees in business, education, health sciences, liberal arts, and nursing. The school offers a total of 200 academic programs throughout its nine colleges.

Grand Canyon University is accredited by the Higher Learning Commission.

6. Harrisburg University of Science and Technology

Founded in 2001, Harrisburg University of Science and Technology is a STEM-focused institution with campuses in Harrisburg and Philadelphia.

This private university offers bachelor’s degrees, master’s degrees, doctoral degrees, and certificate programs. The nearly 6,000 students enrolled study degree paths related to applied science and technology.

Harrisburg University of Science and Technology is accredited by the Middle States Commission on Higher Education.

7. Indiana University-Purdue University Indianapolis

Indiana University-Purdue University Indianapolis is a public research university offering more than 225 options for bachelor’s, master’s, and doctoral degrees across 18 different schools. The university’s campus is based in Indianapolis, Indiana.

The more than 30,000 students enrolled pursue degrees in majors like art and design, business, education, engineering, law, liberal arts, medicine, nursing, and social work.

Indiana University – Purdue University Indianapolis  is accredited by the Higher Learning Commission.

8. National University

National University is a network of nonprofit educational institutions that is headquartered in San Diego, California. It offers a range of bachelor’s degrees, master’s degrees, doctoral degrees, and certificates in business, education, marriage and family therapy, psychology, and technology.

NU has over 30,000 students enrolled and more than 220,000 alumni from around the world.

National University is accredited by the Western Association of Schools and Colleges.

9. Stevens Institute of Technology

Located in Hoboken, New Jersey, Stevens Institute of Technology is a private research institution with an enrollment of approximately 6,125 students. Founded in 1870, the school has been named among the “Best Value Colleges” by the Princeton Review.

Additionally, the Princeton Review ranks Stevens Institute of Technology among its “Top 15 for Internships.” The school’s undergraduate and graduate students represent 47 states and 60 countries. Students can pursue bachelor’s, master’s, doctoral, and certificate programs.

Stevens Institute of Technology is accredited by the Middle States Commission on Higher Education.

10. University of Central Florida

Located along Orlando’s Space Coast, the University of Central Florida is a public research university with a student enrollment of approximately 69,525. It offers bachelor’s, master’s, and doctoral programs.

Students can pursue degrees in arts and humanities, business, engineering, computer science, health science, medicine, and nursing. The University of Central Florida has been ranked as a “Best Southeastern College” by the Princeton Review.

The  University of Central Florida  is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

Online PhD in Data Science Programs

Data science is exactly what it sounds like – the study of data. Data scientists look at sets of data and notice patterns that emerge. They identify key information that data presents which may not seem readily apparent at first.

If you are someone who notices the small details while also keeping an eye on the bigger picture, a career in data science may be right for you. If you find trends and patterns in large amounts of data, you may be well-suited for this field.

What kind of job can you expect to have as a data scientist? In the last few years, Glassdoor has continuously ranked data scientist as one of the best jobs to have in the United States. The options for specific jobs are numerous and varied.

For example, one data scientist may work as a statistician and interpret statistical information for the U.S. Department of Agriculture. Another data scientist may be a business intelligence developer for Discover, creating strategies for businesses to make more informed decisions about their company.

Data Science Pros and Cons

As with any financial and length time investment, you should consider both the pros and the cons of earning your PhD in an online data science program.

All salary data in this table was provided by the Bureau of Labor Statistics.

Choosing to pursue an online PhD in a data science program is a decision that must be taken into careful consideration, but there are many benefits to completing a program.

Data Science Curriculum & Courses

The curriculum for data science programs is heavily focused on analysis and research. Examples of courses offered by universities like Dakota State University and the University of North Texas are listed below.

• Information Systems – This course is designed to help students learn about the role information systems have for businesses and other organizations.
• Applied Statistics – This class teaches how to use statistical software to study data samples and make inferences based on the data presented.
• Project and Change Management – This class is designed to help students learn the underlying principles for managing information systems and how to utilize software for project management.
• Technology for Mobile Devices – Students in this course study the process of developing apps for mobile devices like smartphones and tablets.
• Advanced Network Technology and Management – This class helps students learn how to work with a model network environment, including how to find solutions for problems with the network.
• Seminar in Research and Research Methodology – Students in this seminar are asked to develop a research proposal and participate in a research study.
• Knowledge Management Tools and Technologies – This course introduces students to a variety of technologies including those associated with knowledge management and IT infrastructure.
• Seminar in Communication and Use of Information – This class explores the roles communication plays at various levels in society.
• Readings in Information Science – Students in this class study texts which emphasize methodological and theoretical issues.
• Medical Geography – In this course, students study the correlation between location and health care and work on their own projects.

Exploring the curriculum offered by different universities can help you determine which online PhD program is best suited for your interests and your needs.

Data Science PhD Admissions

Before applying for a PhD program, you will want to ensure that you have all the application materials on hand, including the commonly required materials listed below.

• Reference letters – You should request these documents well before your application deadline as mentors may not be able to honor a last-minute request due to time constraints.
• All transcripts – These grades will include both undergraduate and graduate level courses.
• Letter of intent – Be prepared to explain in writing why you want to enroll in the program and what you plan to do after its completion.
• Application fee – Fees to cover administrative costs of reviewing your application can add up, so make sure to budget for the costs of each one.
• Resume – Schools want to know your background in not just education but in the job market as well.
• Specific program application – Your prospective school will most likely have its own unique application on its official website.

Save yourself the stress of anxiously waiting to receive documents from an institution or mentor in time and compile them well ahead of the due date.

Data Science PhD Careers & Salaries

According to the U.S. Bureau of Labor Statistics , computer and information research scientists earned a median of $131,490 a year. Data scientists as a group earn increasingly high salaries in various industries including research laboratories, government departments, and a variety of companies focused on technology.

Some of the top companies that utilize data scientists are IBM, Amazon, Microsoft, Facebook, Oracle, Google, and Apple. These multi-billion dollar companies are consistently hiring data scientists to interpret the large amounts of data, or “big data,” that is collected via their services.

Data scientists can expect to work in roles where job duties include designing data models, organizing data from multiple sources, and identifying trends in data.

Data scientists use a comprehensive process for gathering and analyzing information including asking questions, acquiring data, storing data, using models to interpret it, and presenting their findings to stakeholders in the community.

According to the Bureau of Labor Statistics, some careers in the data science field include:

Whatever the job title, data scientists continually earn a significant amount more than employees in other fields.

Data Science Accreditation

Before clicking the “submit” button on your application to a PhD program, you will want to ensure that the university you are applying to is accredited, meaning it is recognized as a legitimate program that offers quality coursework and research opportunities.

If you decide to apply to a program related to computer technology or engineering, the Accreditation Board for Engineering and Technology (ABET) determine which schools offer suitable coursework and requirements for these fields. Also be sure that your prospective university is regionally accredited, the gold-standard for accreditation in the United States.

Search on your prospective schools’ website for information regarding their accreditation status. You will want to ensure that the schools you apply to are regionally accredited so you can get the most out of your PhD experience and your credits will be more likely to transfer should you switch schools while studying.

Data Science Professional Organizations

Joining a professional organization can help to advance your career by connecting you with other individuals who work in the same field.

Professional organizations offer a multitude of benefits, including networking opportunities (which may help to connect you with future employers), and they can also provide inspiration for completing your PhD program, decreasing feelings of isolation that can accompany students.

• Association for Information Science and Technology – This organization states its role “advances the information sciences and similar applications of information technology by helping members build their skills and [develop] their careers” via several different ways, including training and education.
• Association of Information Technology Professionals – This agency gives members advice on how to pursue certain career paths while also providing discounts on certifications and resources for professional development.
• International Association for Social Science Information Services and Technology – IASSIST has 300 members from countries around the world. They offer resources for professionals from sectors such as non-profits, academia, and government.

While some organizations may have a yearly membership fee, the potential gains for job opportunities and professional development through these groups can easily offset those costs.

Financial Aid

Across the nation, the average cost of obtaining a PhD online is between $4,000 and $20,000.  As a student in a PhD program, you can expect to have costs from tuition, books, personal supplies, transportation, etc. Without the time or energy for a full-time or often, even part-time job, you should explore all financial aid options available.

Financial aid for PhD students can come in the form of loans, scholarships, and grants. Grants and scholarships typically do not have to be paid back, but loans are borrowed money which may accrue interest and should be a last resort for students.

Some specific scholarships and grants are designed with scientists, including data scientists, in mind. For example, the National Science Foundation Graduate Research Fellowship is designed to support students who are pursuing research-based doctoral degrees.

Previous recipients include Nobel Prize winners, a U.S. Secretary of Energy, and the founder of Google.

Another common source of money comes from taking on teaching assistant positions within your university or becoming an assistant lecturer. Both positions are great for gaining experience teaching in your academic department while generating income to offset the costs incurred from your years of study.

How long does it take to get a PhD in data science?

It takes an average of 71 credits to complete a PhD in data science. On top of this, students may also have responsibilities to research and/or teach, which can make the process take even longer.

It is not unusual for some PhD programs to take anywhere from four to five years to complete.

Is a PhD in data science worth it?

Whether or not a PhD in data science is “worth it” depends on a number of factors. Do you have the time available for next few years (possibly longer) to invest in this opportunity? Are you motivated enough to complete coursework while also on a shoestring budget?

Search for employment positions you are interested in and take a look at the education requirements employers are requesting. These factors may effect your decision in potentially pursuing an online masters in data science instead.

Can I do a PhD in Data Science?

Whether or not you complete a PhD in data science depends on your ability to stay focused and motivated. PhD programs are notoriously intensive, and they are not for everyone.

You should have a better reason for applying to a program than simply not knowing what to do in today’s job market.

Getting Your PhD in Data Science Online

Obtaining your doctoral degree in data science is not an easy task, but it is also not an impossible one. If you are serious about pursuing your PhD, talk to experts in the field. The admissions departments at prospective universities can help put you in touch with recruiters who can give you more information about the program.

Joining a professional organization can help you connect with individuals who are working in the field, many of whom will have obtained their higher education degree. With careful planning and the right information to make informed career choices, you can further your education and your sense of accomplishment.

Curious about your options in the computer science field ? Click “Find My Program” to discover what’s right for you.

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PhD in Data Science – Your Guide to Choosing a Doctorate Degree Program

Created by aasif.faizal

Professional opportunities in data science are growing incredibly fast. That’s great news for students looking to pursue a career as a data scientist. But it also means that there are a lot more options out there to investigate and understand before developing the best educational path for you.

A PhD is the most advanced data science degree you can get, reflecting a depth of knowledge and technical expertise that will put you at the top of your field.

This means that PhD programs are the most time-intensive degree option out there, typically requiring that students complete dissertations involving rigorous research. This means that PhDs are not for everyone. Indeed, many who work in the world of big data hold master’s degrees rather than PhDs, which tend to involve the same coursework as PhD programs without a dissertation component. However, for the right candidate, a PhD program is the perfect choice to become a true expert on your area of focus.

If you’ve concluded that a data science PhD is the right path for you, this guide is intended to help you choose the best program to suit your needs. It will walk through some of the key considerations while picking graduate data science programs and some of the nuts and bolts (like course load and tuition costs) that are part of the data science PhD decision-making process.

Data Science PhD vs. Masters: Choosing the right option for you

If you’re considering pursuing a data science PhD, it’s worth knowing that such an advanced degree isn’t strictly necessary in order to get good work opportunities. Many who work in the field of big data only hold master’s degrees, which is the level of education expected to be a competitive candidate for data science positions.

So why pursue a data science PhD?

Simply put, a PhD in data science will leave you qualified to enter the big data industry at a high level from the outset.

You’ll be eligible for advanced positions within companies, holding greater responsibilities, keeping more direct communication with leadership, and having more influence on important data-driven decisions. You’re also likely to receive greater compensation to match your rank.

However, PhDs are not for everyone. Dissertations require a great deal of time and an interest in intensive research. If you are eager to jumpstart a career quickly, a master’s program will give you the preparation you need to hit the ground running. PhDs are appropriate for those who want to commit their time and effort to schooling as a long-term investment in their professional trajectory.

For more information on the difference between data science PhD’s and master’s programs, take a look at our guide here.

Topics include:

• Can I get an Online Ph.D in Data Science?
• Overview of Ph.d Coursework

Preparing for a Doctorate Program

Building a solid track record of professional experience, things to consider when choosing a school.

• What Does it Cost to Get a Ph.D in Data Science?
• School Listings

Data Science PhD Programs, Historically

Historically, data science PhD programs were one of the main avenues to get a good data-related position in academia or industry. But, PhD programs are heavily research oriented and require a somewhat long term investment of time, money, and energy to obtain. The issue that some data science PhD holders are reporting, especially in industry settings, is that that the state of the art is moving so quickly, and that the data science industry is evolving so rapidly, that an abundance of research oriented expertise is not always what’s heavily sought after.

Instead, many companies are looking for candidates who are up to date with the latest data science techniques and technologies, and are willing to pivot to match emerging trends and practices.

One recent development that is making the data science graduate school decisions more complex is the introduction of specialty master’s degrees, that focus on rigorous but compact, professional training. Both students and companies are realizing the value of an intensive, more industry-focused degree that can provide sufficient enough training to manage complex projects and that are more client oriented, opposed to research oriented.

However, not all prospective data science PhD students are looking for jobs in industry. There are some pretty amazing research opportunities opening up across a variety of academic fields that are making use of new data collection and analysis tools. Experts that understand how to leverage data systems including statistics and computer science to analyze trends and build models will be in high demand.

Can You Get a PhD in Data Science Online?

While it is not common to get a data science Ph.D. online, there are currently two options for those looking to take advantage of the flexibility of an online program.

Indiana University Bloomington and Northcentral University both offer online Ph.D. programs with either a minor or specialization in data science.

Given the trend for schools to continue increasing online offerings, expect to see additional schools adding this option in the near future.

Overview of PhD Coursework

A PhD requires a lot of academic work, which generally requires between four and five years (sometimes longer) to complete.

Here are some of the high level factors to consider and evaluate when comparing data science graduate programs.

How many credits are required for a PhD in data science?

On average, it takes 71 credits to graduate with a PhD in data science — far longer (almost double) than traditional master’s degree programs. In addition to coursework, most PhD students also have research and teaching responsibilities that can be simultaneously demanding and really great career preparation.

What’s the core curriculum like?

In a data science doctoral program, you’ll be expected to learn many skills and also how to apply them across domains and disciplines. Core curriculums will vary from program to program, but almost all will have a core foundation of statistics.

All PhD candidates will have to take a qualifying exam. This can vary from university to university, but to give you some insight, it is broken up into three phases at Yale. They have a practical exam, a theory exam and an oral exam. The goal is to make sure doctoral students are developing the appropriate level of expertise.

Dissertation

One of the final steps of a PhD program involves presenting original research findings in a formal document called a dissertation. These will provide background and context, as well as findings and analysis, and can contribute to the understanding and evolution of data science. A dissertation idea most often provides the framework for how a PhD candidate’s graduate school experience will unfold, so it’s important to be thoughtful and deliberate while considering research opportunities.

Since data science is such a rapidly evolving field and because choosing the right PhD program is such an important factor in developing a successful career path, there are some steps that prospective doctoral students can take in advance to find the best-fitting opportunity.

Join professional associations

Even before being fully credentials, joining professional associations and organizations such as the Data Science Association and the American Association of Big Data Professionals is a good way to get exposure to the field. Many professional societies are welcoming to new members and even encourage student participation with things like discounted membership fees and awards and contest categories for student researchers. One of the biggest advantages to joining is that these professional associations bring together other data scientists for conference events, research-sharing opportunities, networking and continuing education opportunities.

Leverage your social network

Be on the lookout to make professional connections with professors, peers, and members of industry. There are a number of LinkedIn groups dedicated to data science. A well-maintained professional network is always useful to have when looking for advice or letters of recommendation while applying to graduate school and then later while applying for jobs and other career-related opportunities.

Kaggle competitions

Kaggle competitions provide the opportunity to solve real-world data science problems and win prizes. A list of data science problems can be found at Kaggle.com . Winning one of these competitions is a good way to demonstrate professional interest and experience.

Internships

Internships are a great way to get real-world experience in data science while also getting to work for top names in the world of business. For example, IBM offers a data science internship which would also help to stand out when applying for PhD programs, as well as in seeking employment in the future.

Demonstrating professional experience is not only important when looking for jobs, but it can also help while applying for graduate school. There are a number of ways for prospective students to gain exposure to the field and explore different facets of data science careers.

Get certified

There are a number of data-related certificate programs that are open to people with a variety of academic and professional experience. DeZyre has an excellent guide to different certifications, some of which might help provide good background for graduate school applications.

Conferences

Conferences are a great place to meet people presenting new and exciting research in the data science field and bounce ideas off of newfound connections. Like professional societies and organizations, discounted student rates are available to encourage student participation. In addition, some conferences will waive fees if you are presenting a poster or research at the conference, which is an extra incentive to present.

It can be hard to quantify what makes a good-fit when it comes to data science graduate school programs. There are easy to evaluate factors, such as cost and location, and then there are harder to evaluate criteria such as networking opportunities, accessibility to professors, and the up-to-dateness of the program’s curriculum.

Nevertheless, there are some key relevant considerations when applying to almost any data science graduate program.

What most schools will require when applying:

• All undergraduate and graduate transcripts
• A statement of intent for the program (reason for applying and future plans)
• Letters of reference
• Application fee
• Online application
• A curriculum vitae (outlining all of your academic and professional accomplishments)

What Does it Cost to Get a PhD in Data Science?

The great news is that many PhD data science programs are supported by fellowships and stipends. Some are completely funded, meaning the school will pay tuition and basic living expenses. Here are several examples of fully funded programs:

• University of Southern California
• University of Nevada, Reno
• Kennesaw State University
• Worcester Polytechnic Institute
• University of Maryland

For all other programs, the average range of tuition, depending on the school can range anywhere from $1,300 per credit hour to $2,000 amount per credit hour. Remember, typical PhD programs in data science are between 60 and 75 credit hours, meaning you could spend up to $150,000 over several years.

That’s why the financial aspects are so important to evaluate when assessing PhD programs, because some schools offer full stipends so that you are able to attend without having to find supplemental scholarships or tuition assistance.

Can I become a professor of data science with a PhD.? Yes! If you are interested in teaching at the college or graduate level, a PhD is the degree needed to establish the full expertise expected to be a professor. Some data scientists who hold PhDs start by entering the field of big data and pivot over to teaching after gaining a significant amount of work experience. If you’re driven to teach others or to pursue advanced research in data science, a PhD is the right degree for you.

Do I need a master’s in order to pursue a PhD.? No. Many who pursue PhDs in Data Science do not already hold advanced degrees, and many PhD programs include all the coursework of a master’s program in the first two years of school. For many students, this is the most time-effective option, allowing you to complete your education in a single pass rather than interrupting your studies after your master’s program.

Can I choose to pursue a PhD after already receiving my master’s? Yes. A master’s program can be an opportunity to get the lay of the land and determine the specific career path you’d like to forge in the world of big data. Some schools may allow you to simply extend your academic timeline after receiving your master’s degree, and it is also possible to return to school to receive a PhD if you have been working in the field for some time.

If a PhD. isn’t necessary, is it a waste of time? While not all students are candidates for PhDs, for the right students – who are keen on doing in-depth research, have the time to devote to many years of school, and potentially have an interest in continuing to work in academia – a PhD is a great choice. For more information on this question, take a look at our article Is a Data Science PhD. Worth It?

Complete List of Data Science PhD Programs

Below you will find the most comprehensive list of schools offering a doctorate in data science. Each school listing contains a link to the program specific page, GRE or a master’s degree requirements, and a link to a page with detailed course information.

Note that the listing only contains true data science programs. Other similar programs are often lumped together on other sites, but we have chosen to list programs such as data analytics and business intelligence on a separate section of the website.

Boise State University  – Boise, Idaho PhD in Computing – Data Science Concentration

The Data Science emphasis focuses on the development of mathematical and statistical algorithms, software, and computing systems to extract knowledge or insights from data.  

In 60 credits, students complete an Introduction to Graduate Studies, 12 credits of core courses, 6 credits of data science elective courses, 10 credits of other elective courses, a Doctoral Comprehensive Examination worth 1 credit, and a 30-credit dissertation.

Electives can be taken in focus areas such as Anthropology, Biometry, Ecology/Evolution and Behavior, Econometrics, Electrical Engineering, Earth Dynamics and Informatics, Geoscience, Geostatistics, Hydrology and Hydrogeology, Materials Science, and Transportation Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $7,236 total (Resident), $24,573 total (Non-resident)

View Course Offerings

Bowling Green State University  – Bowling Green, Ohio Ph.D. in Data Science

Data Science students at Bowling Green intertwine knowledge of computer science with statistics.

Students learn techniques in analyzing structured, unstructured, and dynamic datasets.

Courses train students to understand the principles of analytic methods and articulating the strengths and limitations of analytical methods.

The program requires 60 credit hours in the studies of Computer Science (6 credit hours), Statistics (6 credit hours), Data Science Exploration and Communication, Ethical Issues, Advanced Data Mining, and Applied Data Science Experience.

Students must also complete 21 credit hours of elective courses, a qualifying exam, a preliminary exam, and a dissertation.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,418 (Resident), $14,410 (Non-resident)

Brown University  – Providence, Rhode Island PhD in Computer Science – Concentration in Data Science

Brown University’s database group is a world leader in systems-oriented database research; they seek PhD candidates with strong system-building skills who are interested in researching TupleWare, MLbase, MDCC, Crowd DB, or PIQL.

In order to gain entrance, applicants should consider first doing a research internship at Brown with this group. Other ways to boost an application are to take and do well at massive open online courses, do an internship at a large company, and get involved in a large open-source software project.

Coding well in C++ is preferred.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $62,680 total

Chapman University  – Irvine, California Doctorate in Computational and Data Sciences

Candidates for the doctorate in computational and data science at Chapman University begin by completing 13 core credits in basic methodologies and techniques of computational science.

Students complete 45 credits of electives, which are personalized to match the specific interests and research topics of the student.

Finally, students complete up to 12 credits in dissertation research.

Applicants must have completed courses in differential equations, data structures, and probability and statistics, or take specific foundation courses, before beginning coursework toward the PhD.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,538 per year

Clemson University / Medical University of South Carolina (MUSC) – Joint Program – Clemson, South Carolina & Charleston, South Carolina Doctor of Philosophy in Biomedical Data Science and Informatics – Clemson

The PhD in biomedical data science and informatics is a joint program co-authored by Clemson University and the Medical University of South Carolina (MUSC).

Students choose one of three tracks to pursue: precision medicine, population health, and clinical and translational informatics. Students complete 65-68 credit hours, and take courses in each of 5 areas: biomedical informatics foundations and applications; computing/math/statistics/engineering; population health, health systems, and policy; biomedical/medical domain; and lab rotations, seminars, and doctoral research.

Applicants must have a bachelor’s in health science, computing, mathematics, statistics, engineering, or a related field, and it is recommended to also have competency in a second of these areas.

Program requirements include a year of calculus and college biology, as well as experience in computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,858 total (South Carolina Resident), $22,566 total (Non-resident)

View Course Offerings – Clemson

George Mason University  – Fairfax, Virginia Doctor of Philosophy in Computational Sciences and Informatics – Emphasis in Data Science

George Mason’s PhD in computational sciences and informatics requires a minimum of 72 credit hours, though this can be reduced if a student has already completed a master’s. 48 credits are toward graduate coursework, and an additional 24 are for dissertation research.

Students choose an area of emphasis—either computer modeling and simulation or data science—and completed 18 credits of the coursework in this area. Students are expected to completed the coursework in 4-5 years.

Applicants to this program must have a bachelor’s degree in a natural science, mathematics, engineering, or computer science, and must have knowledge and experience with differential equations and computer programming.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $13,426 total (Virginia Resident), $35,377 total (Non-resident)

Harrisburg University of Science and Technology  – Harrisburg, Pennsylvania Doctor of Philosophy in Data Sciences

Harrisburg University’s PhD in data science is a 4-5 year program, the first 2 of which make up the Harrisburg master’s in analytics.

Beyond this, PhD candidates complete six milestones to obtain the degree, including 18 semester hours in doctoral-level courses, such as multivariate data analysis, graph theory, machine learning.

Following the completion of ANLY 760 Doctoral Research Seminar, students in the program complete their 12 hours of dissertation research bringing the total program hours to 36.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $14,940 total

Icahn School of Medicine at Mount Sinai  – New York, New York Genetics and Data Science, PhD

As part of the Biomedical Science PhD program, the Genetics and Data Science multidisciplinary training offers research opportunities that expand on genetic research and modern genomics. The training also integrates several disciplines of biomedical sciences with machine learning, network modeling, and big data analysis.

Students in the Genetics and Data Science program complete a predetermined course schedule with a total of 64 credits and 3 years of study.

Additional course requirements and electives include laboratory rotations, a thesis proposal exam and thesis defense, Computer Systems, Intro to Algorithms, Machine Learning for Biomedical Data Science, Translational Genomics, and Practical Analysis of a Personal Genome.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $31,303 total

Indiana University-Purdue University Indianapolis  – Indianapolis, Indiana PhD in Data Science PhD Minor in Applied Data Science

Doctoral candidates pursuing the PhD in data science at Indiana University-Purdue must display competency in research, data analytics, and at management and infrastructure to earn the degree.

The PhD is comprised of 24 credits of a data science core, 18 credits of methods courses, 18 credits of a specialization, written and oral qualifying exams, and 30 credits of dissertation research. All requirements must be completed within 7 years.

Applicants are generally expected to have a master’s in social science, health, data science, or computer science. 

Currently a majority of the PhD students at IUPUI are funded by faculty grants and two are funded by the federal government. None of the students are self funded.

IUPUI also offers a PhD Minor in Applied Data Science that is 12-18 credits. The minor is open to students enrolled at IUPUI or IU Bloomington in a doctoral program other than Data Science.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $9,228 per year (Indiana Resident), $25,368 per year (Non-resident)

Jackson State University – Jackson, Mississippi PhD Computational and Data-Enabled Science and Engineering

Jackson State University offers a PhD in computational and data-enabled science and engineering with 5 concentration areas: computational biology and bioinformatics, computational science and engineering, computational physical science, computation public health, and computational mathematics and social science.

Students complete 12 credits of common core courses, 12 credits in the specialization, 24 credits of electives, and 24 credits in dissertation research.

Students may complete the doctoral program in as little as 5 years and no more than 8 years.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $8,270 total

Kennesaw State University  – Kennesaw, Georgia PhD in Analytics and Data Science

Students pursuing a PhD in analytics and data science at Kennesaw State University must complete 78 credit hours: 48 course hours and 6 electives (spread over 4 years of study), a minimum 12 credit hours for dissertation research, and a minimum 12 credit-hour internship.

Prior to dissertation research, the comprehensive examination will cover material from the three areas of study: computer science, mathematics, and statistics.

Successful applicants will have a master’s degree in a computational field, calculus I and II, programming experience, modeling experience, and are encouraged to have a base SAS certification.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,328 total (Georgia Resident), $19,188 total (Non-resident)

New Jersey Institute of Technology  – Newark, New Jersey PhD in Business Data Science

Students may enter the PhD program in business data science at the New Jersey Institute of Technology with either a relevant bachelor’s or master’s degree. Students with bachelor’s degrees begin with 36 credits of advanced courses, and those with master’s take 18 credits before moving on to credits in dissertation research.

Core courses include business research methods, data mining and analysis, data management system design, statistical computing with SAS and R, and regression analysis.

Students take qualifying examinations at the end of years 1 and 2, and must defend their dissertations successfully by the end of year 6.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $21,932 total (New Jersey Resident), $32,426 total (Non-resident)

New York University  – New York, New York PhD in Data Science

Doctoral candidates in data science at New York University must complete 72 credit hours, pass a comprehensive and qualifying exam, and defend a dissertation with 10 years of entering the program.

Required courses include an introduction to data science, probability and statistics for data science, machine learning and computational statistics, big data, and inference and representation.

Applicants must have an undergraduate or master’s degree in fields such as mathematics, statistics, computer science, engineering, or other scientific disciplines. Experience with calculus, probability, statistics, and computer programming is also required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $37,332 per year

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Northcentral University  – San Diego, California PhD in Data Science-TIM

Northcentral University offers a PhD in technology and innovation management with a specialization in data science.

The program requires 60 credit hours, including 6-7 core courses, 3 in research, a PhD portfolio, and 4 dissertation courses.

The data science specialization requires 6 courses: data mining, knowledge management, quantitative methods for data analytics and business intelligence, data visualization, predicting the future, and big data integration.

Applicants must have a master’s already.

Delivery Method: Online GRE: Required 2022-2023 Tuition: $16,794 total

Stevens Institute of Technology – Hoboken, New Jersey Ph.D. in Data Science

Stevens Institute of Technology has developed a data science Ph.D. program geared to help graduates become innovators in the space.

The rigorous curriculum emphasizes mathematical and statistical modeling, machine learning, computational systems and data management.

The program is directed by Dr. Ted Stohr, a recognized thought leader in the information systems, operations and business process management arenas.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $39,408 per year

University at Buffalo – Buffalo, New York PhD Computational and Data-Enabled Science and Engineering

The curriculum for the University of Buffalo’s PhD in computational and data-enabled science and engineering centers around three areas: data science, applied mathematics and numerical methods, and high performance and data intensive computing. 9 credit course of courses must be completed in each of these three areas. Altogether, the program consists of 72 credit hours, and should be completed in 4-5 years. A master’s degree is required for admission; courses taken during the master’s may be able to count toward some of the core coursework requirements.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,310 per year (New York Resident), $23,100 per year (Non-resident)

University of Colorado Denver – Denver, Colorado PhD in Big Data Science and Engineering

The University of Colorado – Denver offers a unique program for those students who have already received admission to the computer science and information systems PhD program.

The Big Data Science and Engineering (BDSE) program is a PhD fellowship program that allows selected students to pursue research in the area of big data science and engineering. This new fellowship program was created to train more computer scientists in data science application fields such as health informatics, geosciences, precision and personalized medicine, business analytics, and smart cities and cybersecurity.

Students in the doctoral program must complete 30 credit hours of computer science classes beyond a master’s level, and 30 credit hours of dissertation research.

The BDSE fellowship requires students to have an advisor both in the core disciplines (either computer science or mathematics and statistics) as well as an advisor in the application discipline (medicine and public health, business, or geosciences).

In addition, the fellowship covers full stipend, tuition, and fees up to ~50k for BDSE fellows annually. Important eligibility requirements can be found here.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $55,260 total

University of Marylan d  – College Park, Maryland PhD in Information Studies

Data science is a potential research area for doctoral candidates in information studies at the University of Maryland – College Park. This includes big data, data analytics, and data mining.

Applicants for the PhD must have taken the following courses in undergraduate studies: programming languages, data structures, design and analysis of computer algorithms, calculus I and II, and linear algebra.

Students must complete 6 qualifying courses, 2 elective graduate courses, and at least 12 credit hours of dissertation research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $16,238 total (Maryland Resident), $35,388 total (Non-resident)

University of Massachusetts Boston  – Boston, Massachusetts PhD in Business Administration – Information Systems for Data Science Track

The University of Massachusetts – Boston offers a PhD in information systems for data science. As this is a business degree, students must complete coursework in their first two years with a focus on data for business; for example, taking courses such as business in context: markets, technologies, and societies.

Students must take and pass qualifying exams at the end of year 1, comprehensive exams at the end of year 2, and defend their theses at the end of year 4.

Those with a degree in statistics, economics, math, computer science, management sciences, information systems, and other related fields are especially encouraged, though a quantitative degree is not necessary.

Students accepted by the program are ordinarily offered full tuition credits and a stipend ($25,000 per year) to cover educational expenses and help defray living costs for up to three years of study.

During the first two years of coursework, they are assigned to a faculty member as a research assistant; for the third year students will be engaged in instructional activities. Funding for the fourth year is merit-based from a limited pool of program funds

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $18,894 total (in-state), $36,879 (out-of-state)

University of Nevada Reno – Reno, Nevada PhD in Statistics and Data Science

The University of Nevada – Reno’s doctoral program in statistics and data science is comprised of 72 credit hours to be completed over the course of 4-5 years. Coursework is all within the scope of statistics, with titles such as statistical theory, probability theory, linear models, multivariate analysis, statistical learning, statistical computing, time series analysis.

The completion of a Master’s degree in mathematics or statistics prior to enrollment in the doctoral program is strongly recommended, but not required.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $5,814 total (in-state), $22,356 (out-of-state)

University of Southern California – Los Angles, California PhD in Data Sciences & Operations

USC Marshall School of Business offers a PhD in data sciences and operations to be completed in 5 years.

Students can choose either a track in operations management or in statistics. Both tracks require 4 courses in fall and spring of the first 2 years, as well as a research paper and courses during the summers. Year 3 is devoted to dissertation preparation and year 4 and/or 5 to dissertation defense.

A bachelor’s degree is necessary for application, but no field or further experience is required.

Students should complete 60 units of coursework. If the students are admitted with Advanced Standing (e.g., Master’s Degree in appropriate field), this requirement may be reduced to 40 credits.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $63,468 total

University of Tennessee-Knoxville  – Knoxville, Tennessee The Data Science and Engineering PhD

The data science and engineering PhD at the University of Tennessee – Knoxville requires 36 hours of coursework and 36 hours of dissertation research. For those entering with an MS degree, only 24 hours of course work is required.

The core curriculum includes work in statistics, machine learning, and scripting languages and is enhanced by 6 hours in courses that focus either on policy issues related to data, or technology entrepreneurship.

Students must also choose a knowledge specialization in one of these fields: health and biological sciences, advanced manufacturing, materials science, environmental and climate science, transportation science, national security, urban systems science, and advanced data science.

Applicants must have a bachelor’s or master’s degree in engineering or a scientific field. 

All students that are admitted will be supported by a research fellowship and tuition will be included.

Many students will perform research with scientists from Oak Ridge national lab, which is located about 30 minutes drive from campus.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $11,468 total (Tennessee Resident), $29,656 total (Non-resident)

University of Vermont – Burlington, Vermont Complex Systems and Data Science (CSDS), PhD

Through the College of Engineering and Mathematical Sciences, the Complex Systems and Data Science (CSDS) PhD program is pan-disciplinary and provides computational and theoretical training. Students may customize the program depending on their chosen area of focus.

Students in this program work in research groups across campus.

Core courses include Data Science, Principles of Complex Systems and Modeling Complex Systems. Elective courses include Machine Learning, Complex Networks, Evolutionary Computation, Human/Computer Interaction, and Data Mining.

The program requires at least 75 credits to graduate with approval by the student graduate studies committee.

Delivery Method: Campus GRE: Not Required 2022-2023 Tuition: $12,204 total (Vermont Resident), $30,960 total (Non-resident)

University of Washington Seattle Campus – Seattle, Washington PhD in Big Data and Data Science

The University of Washington’s PhD program in data science has 2 key goals: training of new data scientists and cyberinfrastructure development, i.e., development of open-source tools and services that scientists around the world can use for big data analysis.

Students must take core courses in data management, machine learning, data visualization, and statistics.

Students are also required to complete at least one internship that covers practical work in big data.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $17,004 per year (Washington resident), $30,477 (non-resident)

University of Wisconsin-Madison – Madison, Wisconsin PhD in Biomedical Data Science

The PhD program in Biomedical Data Science offered by the Department of Biostatistics and Medical Informatics at UW-Madison is unique, in blending the best of statistics and computer science, biostatistics and biomedical informatics. 

Students complete three year-long course sequences in biostatistics theory and methods, computer science/informatics, and a specialized sequence to fit their interests.

Students also complete three research rotations within their first two years in the program, to both expand their breadth of knowledge and assist in identifying a research advisor.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $10,728 total (in-state), $24,054 total (out-of-state)

Vanderbilt University – Nashville, Tennessee Data Science Track of the BMI PhD Program

The PhD in biomedical informatics at Vanderbilt has the option of a data science track.

Students complete courses in the areas of biomedical informatics (3 courses), computer science (4 courses), statistical methods (4 courses), and biomedical science (2 courses). Students are expected to complete core courses and defend their dissertations within 5 years of beginning the program.

Applicants must have a bachelor’s degree in computer science, engineering, biology, biochemistry, nursing, mathematics, statistics, physics, information management, or some other health-related field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $53,160 per year

Washington University in St. Louis – St. Louis, Missouri Doctorate in Computational & Data Sciences

Washington University now offers an interdisciplinary Ph.D. in Computational & Data Sciences where students can choose from one of four tracks (Computational Methodologies, Political Science, Psychological & Brain Sciences, or Social Work & Public Health).

Students are fully funded and will receive a stipend for at least five years contingent on making sufficient progress in the program.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $59,420 total

Worcester Polytechnic Institute – Worcester, Massachusetts PhD in Data Science

The PhD in data science at Worcester Polytechnic Institute focuses on 5 areas: integrative data science, business intelligence and case studies, data access and management, data analytics and mining, and mathematical analysis.

Students first complete a master’s in data science, and then complete 60 credit hours beyond the master’s, including 30 credit hours of research.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $28,980 per year

Yale University – New Haven, Connecticut PhD Program – Department of Stats and Data Science

The PhD in statistics and data science at Yale University offers broad training in the areas of statistical theory, probability theory, stochastic processes, asymptotics, information theory, machine learning, data analysis, statistical computing, and graphical methods. Students complete 12 courses in the first year in these topics.

Students are required to teach one course each semester of their third and fourth years.

Most students complete and defend their dissertations in their fifth year.

Applicants should have an educational background in statistics, with an undergraduate major in statistics, mathematics, computer science, or similar field.

Delivery Method: Campus GRE: Required 2022-2023 Tuition: $46,900 total

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Best Online Doctorates in Data Science: Top PhD Programs, Career Paths, and Salary

Data science is an expansive and rapidly growing field, making a career in it one of the most in-demand today. As the value of data-driven decision-making continues to grow, data science jobs are only going to become more numerous and desirable. The best online PhD in Data Science will help you launch or further your career in data science more than any other degree.

Getting your data science PhD online allows you to get a quality education within a flexible learning schedule, giving you the opportunity to accelerate your journey up the career ladder. Finding the right data science doctoral program can be challenging, but this article will tell you all you need to know about the best online PhDs in Data Science and the data science jobs you can get with one.

Find your bootcamp match

Can you get a phd in data science online.

Yes, you can get a PhD in Data Science online. Many schools offer online data science programs alongside in-person programs. These online courses often have the same core courses and admission and graduation requirements as their on-campus counterparts but provide extra advantages like accelerating your learning and having lower tuition costs.

Is an Online PhD Respected?

Yes, an online PhD is respected. Nowadays, most employers have no preference when it comes to the learning format of your degree. Whether online or in-person, having a PhD demonstrates that you are self-disciplined, have a solid work ethic, and can manage your time well. Prospective PhD students should only consider programs offered by accredited institutions.

What Is the Best Online PhD Program in Data Science?

The best online PhD program in data science is the PhD in Information Systems – Analytics offered by Dakota State University. This doctorate degree program has an extensive curriculum delivered using cutting-edge technology and is taught by experienced faculty who can provide ample career support and excellent research opportunities for your dissertation process.

Why Dakota State University Has the Best Online PhD Program in Data Science

Dakota State University has the best online data science PhD program because of its world-class faculty, comprehensive curriculum, and state-of-the-art facilities. Their faculty have years of experience working in the industry, the curriculum gives students a well-rounded, hands-on education, and the school’s high-tech facilities allow students to learn seamlessly remotely.

Best Online Master’s Degrees

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Online PhD in Data Science Admission Requirements

The admission requirements for an online PhD in Data Science include having a bachelor’s degree or Master’s degree in a relevant field such as math, data science, statistics, and mathematical analytics. Other common requirements include submitting your official transcripts, GRE test scores, letters of recommendation, and a statement of purpose or intent.

• Bachelor’s or master’s degree in a relevant field
• Official transcripts
• Letters of recommendation
• Statement of purpose or letter of intent
• GRE test scores

Best Online PhDs in Data Science: Top Degree Program Details

Best Online PhDs in Data Science: Top University Programs to Get a PhD in Data Science Online

The top university programs to get a PhD in Data Science are offered by a wide variety of public and private institutions across the country. The best online PhDs in Data Science cater as much to full-time students as they do part-time students and provide huge amounts of courses covering topics such as statistical theory, integrative data science, linear algebra, and more.

Capitol Technology University has been in operation since 1953 and has a rich history of preparing students to work in a wide variety of technical fields such as biomedical data science, statistical computing, and applied statistics. CTU offers postgraduate online programs in aeronautics engineering, AI, computer science, and data science, among many others.

PhD in Business Analytics and Data Science

This graduate program is designed to impart to students the professional skills and technical skills needed for working in senior positions in various sectors. Requiring the completion of 54 credit hours, it also aims to give students an understanding of the scope and impact data science has on making great business decisions.

PhD in Business Analytics and Data Science Overview

• Accreditation: Middle States Commission on Higher Education
• Program Length: 3 years
• Acceptance Rate: N/A
• Tuition and Fees: $933/credit

PhD in Business Analytics and Data Science Admission Requirements

• Application essay (to be submitted before completing the rest of the application process)
• Two recommendation forms
• Five years of related work or professional experience
• Master’s degree in a relevant field
• A $100 application fee

Founded in 1896, Clarkson University is located in Potsdam, New York. This research university is one of the smallest universities in the country offering undergraduates, graduates, and PhD programs. Despite its small size, Clarkson University also offers some distance learning programs, including a PhD in Computer Science.

PhD in Computer Science

This PhD in the school’s Department of Computer Science has a 36-credit hour curriculum with concentration courses in theory and algorithms, computer systems and networks, language and software development, artificial intelligence, and more. It provides training in several areas of expertise including visualization, systems, networking, and machine learning.

PhD in Computer Science Overview

• Tuition and Fees: $1,533/credit

PhD in Computer Science Admission Requirements

• Statement of Purpose
• Three letters of recommendation
• Bachelor’s Degree in Computer Science or in a related field of study
• $50 application fee

The Colorado Technical University is a for-profit university located in Colorado Springs, Colorado. It was founded in 1965 and it offers online degrees at the graduate and undergraduate levels primarily focused on technical fields including computer science, business administration, and nursing.

PhD in Computer Science - Big Data Analytics

In this online degree program, students learn to use data analysis tools such as XML and Hadoop, as well as techniques commonly used in artificial intelligence and data visualization. With this knowledge, they’ll be able to analyze huge sets of complex, unstructured data and derive meaningful insights from them.

PhD in Computer Science - Big Data Analytics Overview

• Accreditation: Higher Learning Commission
• Tuition and Fees: $598/credit

PhD in Computer Science - Big Data Analytics Admission Requirements

• Interview with an admission adviser
• Completed admission application form
• Minimum GPA of 3.0 on a 4.0 scale
• Personal statement

Dakota State University is a public university originally founded in 1881 in Madison, South Dakota. It offers undergraduate and graduate degrees in business, computer science, engineering, mathematics, and nursing, many of which are also available in an online or hybrid format.

PhD in Information Systems

Students in this program are required to complete 72 credit hours of coursework while maintaining a GPA of 3.0. The curriculum includes research seminars and elective courses, passing a screening examination, updating their qualifying portfolio, 24 core credits dedicated to their research specialization courses, and 12 credit hours of dissertation research.

PhD in Information Systems Overview

• Program Length: 3 years for master’s degree holders
• Tuition and Fees: $3,365.10/semester (in-state); $5,101.11/semester (Minnesota residents); $5,965.20/semester (out-of-state)

PhD in Information Systems Admission Requirements

• Bachelor’s degree, preferably in a related field
• Minimum undergraduate GPA of 3.0 on a 4.0 scale
• Foundational knowledge of business fundamentals and information systems
• $35 application fee

Grand Canyon University is a private university that was founded in 1949. Headquartered in Phoenix, Arizona, the school has a total enrollment of over 40,000 students, making it the largest university in the state. Grand Canyon University offers more than 225 degrees and programs, many of which can be completed fully online.

DBA in Data Analytics

This online doctoral program’s core curriculum helps students develop research skills so that they can eventually become accomplished academics. Students can take courses in numerical methods and predictive analytics. This research-oriented program allows students to develop  their critical thinking and analytical reasoning skills.

DBA in Data Analytics Overview

• Tuition and Fees: $715/credit

DBA in Data Analytics Admission Requirements

• Master’s Degree in Finance, Accounting, or Statistics
• Minimum GPA of 3.4 on a 4.0 scale
• Minimum GRE score of 300 if unable to meet the minimum GPA requirement

Harrisburg University has a strong focus on experiential learning which allows students to apply what they learn in the classroom in real-world scenarios before graduating. Founded in 2001, it offers a variety of graduate programs, including Master's Degrees and PhDs in Computer Science, Cybersecurity, and Data Science.

PhD in Data Sciences

This program is divided between a learning phase and a research phase. The first consists of coursework, seminars, and fieldwork which contributes to each student's experience in solving  real-world data science problems. In the research phase, each student completes a research project which is the focus of the final examination.

PhD in Data Sciences Overview

• Program Length: N/A
• Tuition and Fees: $650/credit

PhD in Data Sciences Admission Requirements

• GRE not required but highly recommended
• Minimum GPA of 3.3 on a 4.0 scale
• Master’s degree
• Personal goal statement
• Two letters of recommendation
• Essay about applicant’s academic and career goals
• Evidence of research potential

Northcentral University was founded in 1996 to make doctorate education available to working professionals. It offers master's and doctoral degree programs in business and management, education, psychology, and social sciences. What makes the school unique is its mentorship model that pairs students with experienced professionals in their field of study.

PhD in Data Science

Students accepted at Northcentral University’s doctoral Data Science program can choose between a Data Science for Business, Data Science for Healthcare, and Data Science for Research track. Each track offers a different focus, allowing students to specialize in what best suits them. Students can fulfill their specialization requirements in as little as two years.

PhD in Data Science Overview

• Program Length: 3.5 years
• Tuition and Fees: $1,094/credit

PhD in Data Science Admission Requirements

• Master’s degree in a related subject
• Completed online application

Located in Williamsburg, Kentucky, the University of the Cumberlands serves over 19,000 students. This Christian university offers associate, bachelor’s, master’s, and doctoral programs in the fields of political science, business administration, and more. The school aims to blend Christian and traditional education in their programs’ well-rounded curricula.

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Online PhD in Information Technology

This fully online doctoral program requires the completion of 60 credit hours. Its courses can be taken asynchronously, synchronously, or using blended learning and are designed to provide students with a strong theoretical and practical foundation in information technology so that they can solve current real-world problems.

Online PhD in Information Technology Overview

• Accreditation: Southern Association of Colleges and Schools, Commission on Colleges
• Tuition and Fees: $500/credit

PhD in Information Technology Admission Requirements

• $30 application fee
• Master’s degree in a related field

Founded in 1890, the University of North Texas has one of the largest selections of online degree programs in the country with over 60 fully online degree and certificate programs. The university has a diverse student population and places a strong focus on community service. Its students are encouraged to get involved with their community and gain hands-on experience through volunteer work.

PhD in Information Science

This doctoral program teaches students to design, manage, organize, and deliver information solutions for a variety of industries. Its curriculum includes coursework in information science, computer science, management, and other relevant disciplines in the science field. In addition, students are required to complete a research project that results in a publishable paper.

PhD in Information Science Overview

• Tuition and Fees: $22,568/year (residents enrolled in 9 hours per semester); $31,530/ year (out-of-state)

PhD in Information Science Admission Requirements

• $75 application fee
• Official college transcripts
• Completed Information Science PhD Program Application Form
• Academic writing sample
• Interview, if requested by the admissions committee

The University of Rhode Island has a long and distinguished history tracing back to 1636. In addition to its traditional on-campus programs, the University of Rhode Island also offers a wide range of online graduate programs in the fields of business administration, criminal justice, education, engineering, health services administration, and nursing.

This doctoral program in computer science provides interdisciplinary research opportunities where students can work with top researchers from several departments in the university, giving them a broader perspective on their area of study. The curriculum is tailored for working professionals and covers a range of topics in computer science like big data, AI, and machine learning.

• Accreditation: New England Commission of Higher Education
• Program Length: 4 to 5 years
• Tuition and Fees: $14,454/year (in-state); $27,906/year (out of state)
• Bachelor’s Degree in Computer Science or in a closely related field
• $65 application fee

Online Data Science PhD Graduation Rates: How Hard Is It to Complete an Online PhD Program in Data Science?

It is hard to complete an online PhD program in data science. For example, the graduation rate for Colorado Technical University is about 23 percent. The degree requirements for online data science PhDs require a massive amount of hard work to complete. PhDs are terminal programs which means that the topics they cover are extremely advanced and complex.

How Long Does It Take to Get a PhD in Data Science Online?

It takes about three to four years to get a PhD in Data Science online for full-time students but this can vary. The core courses doctoral students take in data mining, machine learning, and big data analysis can be daunting for both full-time students in a full-time program or part-time students. The dissertation committee not approving your thesis can also extend your studies.

Students can accelerate their program by developing a degree completion plan with their advisor and should take advantage of every resource their school offers. That being said, graduate students should try to get involved in their field of study as much as possible and network with professionals in their field. Taking the time to do so can be beneficial and completing your PhD as fast as possible isn’t always ideal.

How Hard Is an Online Doctorate in Data Science?

An online doctorate in data science is relatively hard. While, compared to a traditional PhD, an online PhD can be relatively easier to obtain due to a shorter program length, obtaining a PhD is no walk in the park. Online PhDs from an accredited university have an equally rigorous curriculum as on-campus PhDs and their faculty assess each student’s work with equal scrutiny.

Best PhD Programs

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What Courses Are in an Online Data Science PhD Program?

The courses in an online Data Science PhD program typically include statistical modeling, statistical theory, quantitative analytics, business analytics, probability theory, data mining, qualitative and quantitative methods in research, and statistical computing, but can vary from program to program.

Main Areas of Study in a Data Science PhD Program

• Big data analytics
• Statistical modeling
• Business analytics
• Decision analysis

How Much Does Getting an Online Data Science PhD Cost?

It costs $19,314 per year to get a PhD in Data Science on average, according to a 2019 report by the National Center for Education Statistics. However, the actual cost of obtaining a PhD will vary on the individual school’s tuition and fees. Furthermore, the type of school will also influence the cost of attendance, with private institutions usually being more expensive than public ones.

How to Pay for an Online PhD Program in Data Science

You can pay for an online PhD program through scholarships, bursaries, grants, student loans, and other financial aid opportunities. Many schools and organizations provide financial aid programs to help students cover their tuition and other additional fees like living expenses. At the PhD level, this can include fellowships and research or teaching assistantships.

How to Get an Online PhD for Free

You cannot get an online PhD for free. Regardless of the delivery method, all universities charge tuition for their PhD programs which you will have to pay alongside some additional fees. Do not confuse a fully-funded program, which is sponsored through government spending or charitable organizations, for a free PhD. Currently, there are no fully funded online data science PhDs.

What Is the Most Affordable Online PhD in Data Science Degree Program?

The most affordable online PhD in Data Science degree program is the PhD in Information Systems offered by Dakota State University. Its online PhD program cost $3,365.10 per semester for South Dakota residents. If completed in three years, this will only cost a total of around $20,190.60 to earn, which is about $28,000 cheaper than the University of Rhode Island’s PhD program.

Most Affordable Online PhD Programs in Data Science: In Brief

Why You Should Get an Online PhD in Data Science

You should get an online PhD in Data Science because it costs less compared to the traditional PhD and can usually be completed much faster. An online PhD in Data Science will allow you to pursue your academic goals while still letting you work. Best of all, online PhD programs provide you the same curriculum quality and personal attention as in-person programs.

Top Reasons for Getting a PhD in Data Science

• Job Opportunities. A doctorate is the highest academic degree you can get and a graduate with a PhD can adapt to almost any aspect of the field they specialized in. A PhD provides you with the qualifications you need for a wide range of positions in the field of data science and beyond.
• Higher Pay. According to the US Bureau of Labor Statistics, PhD graduates earn an average salary of $1,909 per week , while master’s degree graduates earn $1,574, and bachelor’s degree graduates only earn $1,334. This is a firm indication that getting a PhD will significantly increase your average income.
• Specialized Skills . A PhD in Data Science can help you build specialized skills by allowing you to focus on fields such as machine learning, deep learning, or natural language processing. You can also choose to specialize in a certain industry, such as healthcare, finance, or retail.
• Career Boost. Earning a PhD in Data Science will significantly upgrade your knowledge of the field, provide you with numerous networking opportunities, academic versatility, and transferable skills, and qualify you for the highest-earning positions in your field of study.

Best Master’s Degree Programs

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What Is the Difference Between an On-Campus Data Science PhD and an Online PhD in Data Science?

The difference between an on-campus data science PhD and an online PhD in Data Science is in the learning format. They both offer the same quality of coursework and faculty, but there are some slight differences. This section highlights those unique characteristics and weighs the pros and cons.

Online PhD vs On-Campus PhD: Key Differences

• Asynchronous Coursework .  Many online programs allow you to study independently from your classmates by making pre-recorded lectures and learning materials available anytime and anywhere. Depending on how you learn best, this can be good or bad.
• Affordability. Online programs are usually cheaper to attend than on-campus programs because they use fewer of the university’s facilities and resources. Online students also get to spend less on learning materials and costs related to transportation.
• Program length. A traditional on-campus PhD can take as long as seven years to complete, which is significantly higher than the three-to-five-year range of most online PhD programs. Many online programs also offer an accelerated option with full time-study, which can potentially half the time it takes to obtain a degree.
• Interaction with faculty and students. PhD students enrolled in an in-person program usually have a lot more face-to-face contact with their peers and professors, which can make them a better option for students needing a dedicated learning environment. Online PhD programs are a great option for students who learn particularly well independently.

How to Get a PhD in Data Science Online: A Step-by-Step Guide

To get a PhD in Data Science online, you must have completed a Bachelor’s Degree or Master’s Degree in Data Science, Data Analytics, or another related field. Next, you’ll have to apply to an accredited institution, complete the core and required courses, pass a qualifying examination, and complete your research work. Although they can vary, here are the typical steps you’ll need to take to earn yours.

The first step you’ll take in your PhD journey is to submit an online application to each program you’re interested in. The admission decision made by each program is based on your academic and professional merits. PhD programs are quite selective and it’s recommended that prospective students put together their application packages early.

Once accepted, students are required to complete the required PhD coursework leading to their oral exam. This coursework usually consists of a literature review of past research papers that are relevant to your chosen subject of study. Depending on your specialization, your courses can cover topics like statistical methods, multivariate analysis, and advanced research methods.

PhD programs use a comprehensive or qualifying exam designed to assess each student's ability to apply the skills they’ve learned and the knowledge they’ve acquired throughout their graduate studies. These exams usually have written and oral sections and are usually taken around the end of their second year.

Either as you complete your coursework or right after you do, you’ll need to write and submit a research proposal that needs to be approved before you can begin your research. A good research proposal lays out the importance of your research topic and contains an explanation of how you plan to carry out the research.

After having your thesis approved, your next step will be to conduct research, write down your findings, and lastly defend them. Your progress will be assessed by your professors at multiple points and, once you’ve finished it, you’ll have to defend it. You’ll go through questioning by members of the thesis committee and prove to them your research is significant to the field of data science.

Online PhD in Data Science Salary and Job Outlook

The Bureau of Labor Statistics projects a 22 percent growth for data science jobs between 2020 and 2030 and a PhD in the field gives you a huge leg up over other candidates when applying for this surge of new jobs. This demand for data scientists is also reflected in their annual earnings as they can earn between approximately $80,000 and $180,000 per year, depending on their title.

What Can You Do With an Online Doctorate in Data Science?

With an online doctorate in data science, you can work in senior roles as a senior data scientist or chief data officer. You may also work in other related data disciplines like machine learning, automation, or artificial intelligence, depending on your concentration. A PhD online program also qualifies you to work in academia or research, if that’s where your interests lie.

Best Jobs with a PhD in Data Science?

• Chief data scientist
• Chief data officer
• Data science director
• Senior data scientist
• Senior data analyst

Potential Careers With a Data Science Degree

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What Is the Average Salary for an Online PhD Holder in Data Science?

The average salary for a PhD in Data Science is $133,000 per year, according to PayScale. Naturally, the amount of money you actually earn will depend on certain factors such as your position, location, employer, and experience. That being said, you will easily be able to earn higher than the average as you gain more experience and leverage your specialized skills.

Highest-Paying Data Science Jobs for PhD Grads

Best Data Science Jobs for Online PhD Holders

The best data science jobs for online PhD holders are positions reserved for professionals at the peak of their business or data science careers. Examples of such professionals include chief data officers, chief data scientists, senior data scientists, data science directors, and senior data analysts.

A chief data scientist is in charge of overseeing the management of data analysis teams, developing useful data strategies, and enhancing the quality of data research. They are also charged with leading an organization’s data science, machine learning, and artificial intelligence projects.

• Salary with a Data Science PhD: $179,351
• Job Outlook: 11% job growth from 2020 to 2030
• Number of Jobs: 482,000
• Highest-Paying States: New York, California, New Jersey, Washington, District of Columbia

These professionals are responsible for analyzing an organization's data and overseeing several data-related functions. A CDO manages the organization's data processing and mining processes, ensuring the use of relevant data in building enhancing models for engineering projects and improving business intelligence.

• Salary with a Data Science PhD: $176,693

A data science director initiates, strategizes, and enforces policies that help organize the data management, research, and analysis processes for a business. They also provide strategic guidance when overseeing and directing data analytics teams through informed decision-making.

• Salary with a Data Science PhD: $157,128

Senior data scientists are responsible for creating and managing data-driven projects that increase the revenue and profitability of an organization. They are in charge of collecting and polishing raw data with the goal of turning it into a more useful entity for future purposes.

• Salary with a Data Science PhD: $127,452
• Job Outlook: 22% job growth from 2020 to 2030
• Number of Jobs: 105,980
• Highest-Paying States: Washington, California, Delaware, New York, New Jersey

A senior data analyst carries out analyses and interprets a company’s collected data, then presents it back to the company to help them make better-informed business decisions. Data analysts in a senior position are usually tasked with taking on the more complex data sets a company needs insights from.

• Salary with a Data Science PhD: $84,491

Is It Worth It to Do a PhD in Data Science Online?

Yes, it is worth it to do a PhD in Data Science online. The lectures are delivered online, which is convenient for busy professionals and the tuition is usually less expensive than its on-campus alternative. Online PhDs are respected by employers and other institutions as long as it was acquired from an accredited institution.

Additional Reading About Data Science

[query_class_embed] https://careerkarma.com/blog/introduction-to-data-science/ https://careerkarma.com/blog/data-science-degree/ https://careerkarma.com/blog/types-of-data-science-jobs/

Online PhD in Data Science FAQ

Many schools will prefer candidates who have a background in statistics, data science, computer science, IT, physics, and mathematics. Having completed foundational courses in linear algebra and differential equations, social sciences, and physical sciences will also help you qualify for admission.

A fully-funded PhD in Data Science is a program whose tuition can be fully covered by scholarships offered either by the government or by the school itself. They also sometimes provide stipends to help cover living expenses. Unfortunately, there are no fully funded online Data Science PhD programs.

Yes, you can get a good job with an online PhD in Data Science. Because a PhD is the highest level of education you can get in the field, you are almost guaranteed to have a leg up over other applicants when applying for jobs in your field.

To choose an online PhD in Data Science program, you should consider the student-to-faculty ratio, the school’s retention rate, and the program’s available concentration areas. Many schools offer a health-related field concentration such as precision medicine, biomedical and health informatics, computational biology, or population health.

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Data Science Degrees

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University of Michigan

Master of Applied Data Science

Indian Institute of Technology Guwahati

Bachelor of Science in Data Science & AI

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Master of Data Science

International Institute of Information Technology, Hyderabad

Master of Science in Information Technology

University of Colorado Boulder

Master of Science in Data Science

University of Illinois Urbana-Champaign

Master of Computer Science in Data Science

Imperial College London

Master of Science in Machine Learning and Data Science

Universidad de los Andes

Maestría en Inteligencia Analítica de Datos

Why earn a degree in data science.

When you major in data science for your bachelor’s degree or choose to pursue a master’s degree in data science , you can expect to take courses in databases and information systems, data mining, data visualization, AI and machine learning, security, and much more. What’s more, when you enroll in a data science degree program at either the undergraduate or graduate level, you’ll get an opportunity to build and strengthen several key skills important for working with data , such as programming, statistics, database management, data visualization, and machine learning, among others.

A data science degree is a foundational credential that can lead to a number of career options. Between your subject knowledge and skills development, you can explore traditional data roles, like data analyst or data engineer , or pursue a career in machine learning, game development, or marketing. Learn more about what you can do with your degree after graduating.

Data scientists are one of the fastest-growing occupations, with a projected 36% job growth from 2021 to 2031, according to the Bureau of Labor Statistics .

Benefits of getting a data science degree on Coursera

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All online degree programs are flexible, meaning you can complete coursework at your own pace while balancing your work and personal commitments.

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Find affordable degree programs from an array of accredited universities. Learn from distinguished faculty and industry experts passionate about helping you achieve your goals.

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Master's degrees, bachelor's degrees, postgraduate programs, what do data science students have to say, find helpful articles related to data science degrees, is a master’s degree in data science worth it.

While it's not always necessary to hold a master's in data science, earning an advanced degree does feature several benefits. Learn more about whether it's right for you.

Last updated on March 26, 2024

Master of Data Science Salaries: 2024 Guide

Data science professionals continue to be in demand. Learn more about the type of salary you may be able to earn after graduating with your master's in data science.

Entry-Level Data Analyst: What They Do + How to Get Started

Data analysts glean insights from data to help businesses make better decisions. Learn what you can expect from an entry-level data analyst position and how to get started today.

Last updated on April 20, 2024

Data Scientist Salary: Your 2024 Pay Guide

Learn how your location, education, industry, and experience can play a role in how much you can earn as a data scientist.

Last updated on March 25, 2024

Frequently asked questions

What is a bachelor’s degree in data science.

A bachelor's degree in data science is an undergraduate program that combines concepts from computer science, statistics, data science, and more. You may either find specific bachelor’s degrees in this major or choose the subject as a concentration when earning your bachelor’s degree in computer science .

Studying data science is an opportunity to develop an array of skills, including programming, data visualization, critical thinking, and communication, all of which can lead to in-demand careers across industries .

What is a master’s degree in data science?

A master's degree in data science is a newer graduate program that integrates fundamentals from computer science, probability and statistics, machine learning, and data visualization, among other subjects. In a data science master’s program, you’ll build key skills in areas such as machine learning, data mining and data visualization, and cloud computing, alongside critical thinking, problem-solving, and communication. Learn more about whether a master’s in data science is worth it and the types of roles you can pursue with the degree .

How do I choose the best data science degree program for me?

On Coursera, you’ll find online data science degrees at both the undergraduate and graduate level. To figure out which one might be best for you, it helps to first understand why you want to earn a degree and what you hope to get out of your education.

Beyond your larger goals, consider what you’ll learn and how you’ll learn it, as those factors can be important when it comes to determining the best program for you. Take time to review the various business degree options on Coursera, paying particular attention to the “Academics” and “Student experience” sections for more information.

Will I earn a degree from an accredited university?

Yes, all online degree programs available on Coursera are directly conferred by accredited institutions. Accreditation is important because it shows that an institution meets rigorous academic standards, eases your ability to transfer credits, and helps employers validate the quality of education on your resume or application.

What is the experience of earning an online data science degree through Coursera like?

Earning your data science degree from a leading university on Coursera means experiencing greater flexibility than in-person degree programs, so you can learn at your pace around your other responsibilities.

Once enrolled in your program, you may find a range of learning options, including live video lectures that encourage you to collaborate and self-paced courses that give you greater independence. Moreover, throughout your learning journey, you'll have access to a dedicated support team, course facilitators, and a network of peers to help you achieve your academic goals. Learn more about the benefits of learning online .

Is an online data science degree worth it?

Yes, both a bachelor’s and a master’s in data science can be worth it—depending on your goals and your resources. Both types of education tend to lead to higher salaries , in-demand careers , advanced knowledge and skill sets, and exciting networking opportunities, among other benefits.

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Data Science Specialization

No residency, no group work, 100% online learning, phd-tm in data science.

As computer systems and high-speed processors gain greater and greater capacities, the amount of information generated can be daunting to the leader of today’s organizations. It takes leadership to manage that mountain of electronic gold most efficiently and effectively. That’s where those who’ve gained their PhD in NU’s Data Science specialization come in.

Why Earn Your PhD in Data Science with National University?

This specialization will prepare you to start processing the mountains of data that organizations produce and turn it all into usable information. Our Data Science graduates are prepared with the latest statistical and modeling tools that will enable you to help your organization use data most effectively to serve stakeholders’ interests.

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NU offers weekly course starts, no scheduled lecture hours, no group assignments, weekly assignments, and the ability to schedule courses around your personal and professional obligations.

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Course Details

Credit Hours : 60

Courses: 20

Estimated Time to Complete: 50 months

*Credit hours and courses reflect new students meeting credit requirements and utilizing no transfer credits. Est. Time of Completion reflects new students following the preferred schedule designed by the Dean for the program.

Learning Outcomes

• Design technology-based solutions to practical problems
• Evaluate the scope and impact of emerging technologies on a local and global scale
• Manage legal, ethical, and security risks in technology-based systems
• Communicate concepts and arguments associated with technology and innovation
• Demonstrate an applied knowledge of technical management and leadership 

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We have 3 Data Science (distance learning) PhD Projects, Programmes & Scholarships

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Data Science (distance learning) PhD Projects, Programmes & Scholarships

Automated analysis of qualitative data using ai for patient safety, phd research project.

PhD Research Projects are advertised opportunities to examine a pre-defined topic or answer a stated research question. Some projects may also provide scope for you to propose your own ideas and approaches.

Funded PhD Project (UK Students Only)

This research project has funding attached. It is only available to UK citizens or those who have been resident in the UK for a period of 3 years or more. Some projects, which are funded by charities or by the universities themselves may have more stringent restrictions.

Using system-wide integrated data to investigate inequities in patient safety

Computational light microscopy — making the invisible visible.

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Ph.D. Specialization in Data Science

The ph.d. specialization in data science is an option within the applied mathematics, computer science, electrical engineering, industrial engineering and operations research, and statistics departments..

Only students already enrolled in one of these doctoral programs at Columbia are eligible to participate in this specialization. Students should fulfill the requirements below in addition to those of their respective department's Ph.D. program. Students should discuss this specialization option with their Ph.D. advisor and their department's director for graduate studies.

Applied Mathematics Doctoral Program

Computer Science Doctoral Program

Decision, Risk, and Operations (DRO) Program

Electrical Engineering Doctoral Program

Industrial Engineering and Operations Research Doctoral Program

Statistics Doctoral Program

The specialization consists of either five (5) courses from the lists below, or four (4) courses plus one (1) additional course approved by the curriculum committee. All courses must be taken for a letter grade and students must pass with a B+ or above. At least three (3) of the courses should come from outside the student’s home department. At least one (1) course has to come from each of the three (3) thematic areas listed below.

Specialization Requirements

• COMS 4231 Analysis of Algorithms I
• COMS 6232 Analysis of Algorithms II
• COMS 4111 Introduction to Databases
• COMS 4113 Distributed Systems Fundamentals
• EECS 6720 Bayesian Models for Machine Learning
• COMS 4771 Machine Learning
• COMS 4772 Advanced Machine Learning
• IEOR E6613 Optimization I
• IEOR E6614 Optimization II
• IEOR E6711 Stochastic Modeling I
• EEOR E6616 Convex Optimization
• STAT 6301 Probability Theory I
• STAT 6201 Theoretical Statistics I
• STAT 6101 Applied Statistics I
• STAT 6104 Computational Statistics
• STAT 5224 Bayesian Statistics
• STCS 6701 Foundations of Graphical Models (joint with Computer Science) 

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Ph.d. specialization committee.

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• Faculty of Arts and Sciences Professor of Statistics
• The Fu Foundation School of Engineering and Applied Science Professor of Computer Science

Richard A. Davis

• Faculty of Arts and Sciences Howard Levene Professor of Statistics

Vineet Goyal

• The Fu Foundation School of Engineering and Applied Science Associate Professor of Industrial Engineering and Operations Research

Garud N. Iyengar

• Data Science Institute Avanessians Director of the Data Science Institute
• The Fu Foundation School of Engineering and Applied Science Professor of Industrial Engineering and Operations Research

Gail Kaiser

Rocco a. servedio, clifford stein.

• The Fu Foundation School of Engineering and Applied Science Wai T. Chang Professor of Industrial Engineering and Operations Research and Professor of Computer Science

John Wright

• The Fu Foundation School of Engineering and Applied Science Associate Professor of Electrical Engineering
• Data Science Institute Associate Director for Research

Doctor of Philosophy in Data Science

Developing future pioneers in data science

The School of Data Science at the University of Virginia is committed to educating the next generation of data science leaders. The Ph.D. in Data Science is designed to impart the skills and knowledge necessary to enable research and discovery in data science methods. Because the end goal is to extract knowledge and enable discovery from complex data, the program also boasts robust applied training that is geared toward interdisciplinary collaboration. Doctoral candidates will master the computational and mathematical foundations of data science, and develop competencies in data engineering, software development, data policy and ethics. 

Doctoral students in our program apprentice with faculty and pursue advanced research in an interdisciplinary, collaborative environment that is often focused on scientific discovery via data science methods. By serving as teaching assistants for the School’s undergraduate and graduate programs, they learn to be adroit educators and hone their critical thinking and communication skills.

LEARNING OUTCOMES

Pursuing a Ph.D. in Data Science will prepare you to become an expert in the field and work at the cutting edge of a new discipline. According to LinkedIn’s most recent Emerging Jobs Report, data science is booming and data scientist is one of the top three fastest growing jobs. A Ph.D. in Data Science from the University of Virginia opens career paths in academia, industry or government. Graduates of our program will:

• Understand data as a generic concept, and how data encodes and captures information
• Be fluent in modern data engineering techniques, and work with complex and large data sets
• Recognize ethical and legal issues relevant to data analytics and their impact on society 
• Develop innovative computational algorithms and novel statistical methods that transform data into knowledge
• Collaborate with research teams from a wide array of scientific fields 
• Effectively communicate methods and results to a variety of audiences and stakeholders
• Recognize the broad applicability of data science methods and models 

Graduates of the Ph.D. in Data Science will have contributed novel methodological research to the field of data science, demonstrated their work has impactful interdisciplinary applications and defended their methods in an open forum.

A Week in the Life: First-Year Ph.D. Student

Ph.D. Student Profile: Jade Preston

Ph.D. Student Profile: Beau LeBlond

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Doctor of Philosophy in Data Science and Statistics

Program description.

The Data Science and Statistics PhD degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience in theory, methodology and applications of statistics. During their study, PhD students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.

The PhD program is designed to accommodate the needs and interests of the students. The student must arrange a course program with the guidance and approval of the graduate advisor. Adjustments can be made as the student’s interests develop and a specific dissertation topic is chosen.

Some of the broad research areas represented in the department include: probability theory, stochastic processes, statistical inference, asymptotic theory, statistical methodology, time series analysis, Bayesian analysis, robust multivariate statistical methods, nonparametric methods, nonparametric curve estimation, sequential analysis, biostatistics, statistical genetics, and bioinformatics.

Career Opportunities

Statisticians generally find employment in fields where there is a need to collect, analyze and interpret data — including pharmaceutical, banking and insurance industries, and government — and also in academia. The job of a statistician consistently appears near the top in the rankings of 200 jobs by CareerCast’s Jobs Rated Almanac based upon factors such as work environment, income, hiring outlook and stress.

For more information about careers in statistics, view the career page of American Statistical Association. UT Dallas PhD graduates are currently employed as statisticians, biostatisticians, quantitative analysts, managers, and so on, and also as faculty members in universities.

The  NSM Career Success Center  is an important resource for students pursuing STEM and healthcare careers. Career professionals are available to provide strategies for mastering job interviews, writing professional cover letters and resumes and connecting with campus recruiters, among other services.

Marketable Skills

Review the marketable skills for this academic program.

Application Deadlines and Requirements

The university  application deadlines apply with the exception that, for the upcoming Fall term, all application materials must be received by December 15 for first-round consideration of scholarships and fellowships. See the  Department of Mathematical Sciences graduate programs website  for additional information. 

Visit the  Apply Now  webpage to begin the application process. 

Contact Information

For more information, contact [email protected]

School of Natural Sciences and Mathematics The University of Texas at Dallas 800 W. Campbell Road Richardson, TX 75080-3021 Phone: 972-883-2416

nsm.utdallas.edu

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Discover novel solutions to data research problems

There’s no choice but to lead when you’re breaking new ground. Guide rapid development in an emerging field when you earn our Ph.D. in Data Science.

• Degrees & Courses

Data Science Ph.D.

A dynamic data science environment.

Graduates of our program—the first of its kind in both Indiana and the Big Ten—develop the skills to make pioneering research contributions to data science theory and practice in academic and the industrial sectors.

Our students acquire the skills to develop inventive and creative solutions to data research problems—solutions that demonstrate a high degree of intellectual merit and the potential for broader impact. The Ph.D. curriculum also prepares students to make research contributions that advance the theory and practice of data science.

A leader in data science research

The Data Science Ph.D. Program at IU Indianapolis provides a world-class education and research opportunities. Ph.D. students in the program learn fundamental Data Science methods while pursuing independent, original research in a broad variety of topics, including:

• Novel techniques for Natural Language Processing and Text Analytics.
• Applications of AI to social welfare, digital governance, cultural heritage, biomedical sciences, and environmental sustainability.
• Intelligent conversational agents and models of Human-AI collaboration.
• Data Visualization and Human-Data Interaction.

Meet our faculty

The program is in the midst of a major expansion, with over 50 graduate students joining the program in the past year alone. Multiple faculty in our department have secured high-profile research grants, including three    active   CAREER awards, the National Science Foundation’s most prestigious award for early-career faculty. The IU Indianapolis campus hosts the newly created Institute of Integrative Artificial Intelligence, providing an interdisciplinary nexus between Data Science, AI, and various science and engineering fields.

Sunandan Chakraborty

Associate Professor, Data Science

Sarath Chandra Janga

Associate Professor, Bioinformatics, Data Science

Assistant Professor, Data Science

Leon Johnson

Lecturer, Data Science

Kyle M. L. Jones

Associate Professor, Library and Information Science, Data Science

Bohdan Khomtchouk

Assistant Professor, Bioinformatics, Data Science

Angela Murillo

Assistant Professor, Library and Information Science, Data Science

Saptarshi Purkayastha

Associate Professor, Data Science, Health Informatics

Khairi Reda

Associate Professor, Data Science, Human-Computer Interaction

Elie Salomon

Lecturer, Data Science; Library and Information Science

Ayoung Yoon

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Luddy Indianapolis

PhD in Data Science

The PhD in Data Science is designed to be completed fully in-person at UChicago’s Hyde Park campus. There are no online options at this time. Newly admitted students are guaranteed full-funding for up to 5 years and provided with an annual stipend, contingent on satisfactory progress towards the degree.

First-Year Requirements

The standard first-year program requires students to complete nine courses: four required courses (1-4 below); one elective either in mathematical foundations or scalability and computing (pick from either 5 or 6); and four graduate electives that can come from proposed courses in data science as well as existing courses in Computer Science or Statistics. Some students, after consulting with the graduate committee advisor, might decide to take the nine courses over the first two years:

Required Courses:

• Foundations of Machine Learning and AI Part 1
• Responsible Use of Data and Algorithms
• Data Interaction
• Systems for Data and Computers/Data Design
• Foundations of Machine Learning and AI Part 2
• Data Engineering and Scalable Computing

Synthesis project

Students will take courses during the first two years after which they focus primarily on their research. A milestone in this transition is completion of a synthesis project before the end of the second year in the program. Thesis projects can be done in partnership with any of DSI affiliates and aims to meaningfully connect PhD students to their chosen focus areas.

Thesis Advisor and Dissertation Committee

Students typically select a thesis advisor by the beginning of their second year. By the end of the third year, each PhD student, after consultation with their advisor, shall establish a thesis committee of at least three faculty members, including the advisor, with at least half of the members coming from the Committee on Data Science (CODAS) .

Proposal Presentation and Admission to Candidacy

By the end of the third year, students should have scheduled and completed a proposal presentation to their committee in order to be advanced to candidacy. The proposal presentation is typically an hour-long meeting that begins with a 30-minute presentation by the student followed by a question and discussion period with the committee.

Dissertation Defense

The PhD degree will be awarded to candidates following a successful defense and the electronic submission of the final version of the dissertation to the University’s Dissertation Office.

Doctoral Degree Data Sciences Ph.D.

Doctorate education focuses on enabling the student to make original contributions to their respective fields of study.

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The mission of the program is to create scientifically minded and technically proficient professionals with a comprehensive background in the methodological diversity of the data sciences and the intellectual depth to offer influential perspectives to analytical teams across disciplines.

There are two phases of the doctoral program at HU: a learning phase that includes coursework, seminars, research, and fieldwork that contributes to the student’s knowledge in the program of study; and a research phase that focuses on the student’s original research culminating in their final examination. Upon a student’s successful completion of all required course work, defense of the dissertation, and completion of all milestones, the student is awarded the doctoral degree in the program of study.

Program Goals

The Data Sciences Program will produce Ph.D. graduates who will have:

• Applied diverse data science methodologies using a scientific process individually or in teams to provide impactful insights from large sets of data;
• Used effective communications to explain insights from analytical processes on data to diverse audiences; and,
• Grown professionally through self-study, continuing education, and professional development.

Doctorate Program Admissions Process

Doctorate program applicants are encouraged to apply at least six months prior to the start of any semester. This application process allows ample time for an admissions decision and development of an academic schedule. The Admission Committee reviews all documents and will request an interview with the applicant prior to making an admission decision for a limited number of applicants to become resident or non-resident candidates for the degree.

Learn More: Graduate Admissions

“This hot new field promises to revolutionize industries from businesses to government, healthcare to academia.”

– The New York Times

Full Time Faculty

Kevin Huggins, Ph.D., CISSP

Professor of Computer and Data Science

• 717-901-5100, ext. 1619
• [email protected]

Program Courses

The following courses comprise the 36 semester hours required for the Ph.D. in Data Sciences. Complete 18 semester hours in upper level courses, 6 semester hours of Doctoral Research Seminars and defend dissertation proposal, and complete 12 hours to complete the dissertation process and defend the dissertation.

ANLY 705 – Modeling for Data Science (3 credits)

This course provides a more in depth presentation of the theory behind linear statistical models, segmentation models, and production level modeling. Further emphasis is placed on practical application of these methods when applied to massive data sources and appropriate and accurate reporting of results.

ANLY 710 – Appld Expmntal & Quasi-Expmnt Des (3 credits)

Methods and approaches used for the construction and analysis of experiments and quasi-experiments are presented, including the concepts of the design and analysis of completely randomized, randomized complete block, incomplete block, Latin square, split-plot, repeated measures, factorial and fractional factorial designs will be covered along with methods for proper analysis and interpretation in quasi-experiments.

ANLY 715 – Applied Multivariate Data Analysis (3 credits)

This course provides hands-on experience in understanding when and how to utilize the primary multivariate methods Data Reduction techniques, including Principal Components Analysis and Exploratory and Confirmatory Factor Analyses, ANOVA/MANOVA/MANCOVA, Cluster Analysis, Survival Analysis and Decision Trees.

ANLY 720 – Data Science from an Ethical Perspe (3 credits)

This course introduces the power and pitfalls of handling user information in an ethical manner. The student is offered a historical and current perspective and will gain an understanding of their role in assuring the ethical use of data.

ANLY 725 – Research Seminar in Unstructured (3 credits)

This course follows a research seminar format. Students and faculty develop research proposals, analyses, and reporting in the domain of Unstructured Data. Topics of special interest in Unstructured Data analysis are presented by faculty and students under faculty direction. Topics of special interest vary from semester to semester.

ANLY 730 – Research Seminar in Forecasting (3 credits)

This course follows a research seminar format. Students and faculty develop research proposals, analyses, and reporting in the domain of Forecasting. Topics of special interest in Forecasting Data analysis are presented by faculty and students under faculty direction. Topics of special interest vary from semester to semester.

ANLY 735 – Research Seminar in Machine (3 credits)

This course follows a research seminar format. Students and faculty develop research proposals, analyses, and reporting in the domain of Machine Learning. In addition, topics of special interest in Machine Learning are presented by faculty and students under faculty direction. Topics of special interest vary from semester to semester.

ANLY 740 – Graph Theory (3 credits)

This course introduces standard graph theory, algorithms, and theoretical terminology. Including graphs, trees, paths, cycles, isomorphisms, routing problems, independence, domination, centrality, and data structures for representing large graphs and corresponding algorithms for searching and optimization.

ANLY 745 – Functional Prog Mthds for Data Sci (3 credits)

This course is designed to build on the Functional Programming Methods for Analytics course. The student works to extend programming skills to write the student’s own versions of popular statistical functions using a current programming language.

ANLY 755 – Advanced Topics in Big Data (3 credits)

Topics include the design of advanced algorithms that are scalable to Big Data, high performance computing technologies, supercomputing, grid computing, cloud computing, and Parallel and Distributed Computing, and issues in data warehousing.

ANLY 760 – Doctoral Research Seminar (3 credits)

This seminar provides support to doctoral students within their specific domains of research. Led by the faculty advisor for that domain, the course is designed to provide a forum where faculty and students can come together to discuss, support, and share the experiences of working in research.

ANLY 761 – Research Seminar in Unstructured (3 credits)

ANLY 762 – Research Seminar in Forecasting (3 credits)

This course follows a research seminar format. Students and faculty develop research proposals, analyses, and reporting in the domain of Forecasting. Topics of special interest in Forecasting are presented by faculty and students under faculty direction. Topics of special interest vary from semester to semester.

ANLY 763 – Research Seminar in Machine (3 credits)

This course follows a research seminar format. Students and faculty develop research proposals, analyses, and reporting in the domain of Machine Learning. Topics of special interest in Machine Learning are presented by faculty and students under faculty direction. Topics of special interest vary from semester to semester.

ANLY 799 – Doctorial Studies (6 credits)

Advancement to candidacy is a prerequisite of this course. This is an individual study course for doctoral students. Content to be determined by the student and the student’s Doctoral Committee. May be repeated for credit.

2024–2025 Academic Course Catalogs

Get information about core courses, electives and concentrations in our current academic course catalog.

• Undergraduate Catalog
• Graduate Catalog
• Undergraduate Catalog (PDF)
• Graduate Catalog (PDF)

Information for Students who want to come to the U.S.

Get Admissions Requirements

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Program News

Hu’s kevin huggins, phd, discusses continuous improvement plans at 2024 abet symposium.

HARRISBURG, PA – Harrisburg University of Science and Technology (HU) Professor of Computer and Data Science, Kevin Huggins, PhD, CISSP, represented HU…

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A collaboration between graduate students and faculty at Harrisburg University of Science and Technology may yield long-term benefits for clinical…

Revolutionizing Medical Exams: AI Breakthrough in Automated Scoring of USMLE Patient Notes

Harrisburg University of Science and Technology faculty member Mark Newman and Ph.D. students Bowen Long and Fangya Tan recently published…

HU Ph.D. students publish monkeypox forecast research

A research paper authored by three HU doctoral students has been published by forecasting scholarly journal. The paper, written by…

Data Science Ph.D. places in Top 10

The Ph.D. in Data Science at Harrisburg University of Science and Technology is listed among the Top 10 by Analytics…

College ranking puts four HU graduate programs among nation’s best

The online college information site Intelligent.com has ranked several Harrisburg University of Science and Technology programs among the best in…

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Ph.D. in Computer Science

Gain vital expertise to lead and innovate with the help of invaluable "practice experience" in a fast-paced, real-world environment.

Through critical and logical thinking, you’ll gain the essential knowledge and experience needed to become highly proficient in the use of today’s leading computing platforms and techniques.

Why earn a Ph.D. in computer science?

If you're an international student, refer to the international application process for deadlines.

Scientists and engineers in every industry rely on high-performance technology and large data sets, requiring experts that can help harness the latest sophisticated computing power to solve real-world problems.

With this graduate program, you'll:

• Get essential "practice experience" to help solve real-world problems and challenges through computational technology
• Develop the knowledge and skills that will prepare you to lead or support research in any technical career that relies on computer science.
• Develop your logic and critical-thinking skills to help solve today's most pressing scientific and engineering challenges.
• Choose from computation clusters focused on specialized computing system or methods, and application clusters for exposure to specific scientific disciplines.
• Work with practitioners in a variety of disciplines served by computer science .

On-Campus or Online Ph.D. in Computer Science

Benefit from strong departmental proficiencies in artificial intelligence, compiler design, database, networks, operating systems, graphics, simulation, software engineering, and theoretical computer science.

Shape the future of transportation. UND’s Transportation Technology Research Initiative is using autonomous systems to develop and maintain a modern transportation system.

Advance your technology skills with a curriculum that encourages a formal, abstract, theoretical and practical approach to the study of computer science.

Gain access to on-campus computer power: two computer labs, a set of diverse servers and a high-performance computing (HPC) system.  The supercomputer at UND runs on the HPE Apollo 6500 Gen10 system, purpose-built for HPC and a leading platform for deep learning. 

UND is a leader in big data expertise. We are the lead institution in a multi-university project for digital agriculture, funded by the National Science Foundation . And we  co-lead another NSF project to determine industry and academic computational needs in the Midwest.

Study at a Carnegie Doctoral Research Institution ranked #151 by the NSF. Students are an integral part of UND research.

What can I do with a Ph.D. in computer science?

Anticipated job growth for computer and information research scientists through 2032

U.S. Bureau of Labor Statistics

Median annual salary for computer and information research scientists, 2023

Graduates of the Computer Science Ph.D. program have dynamic career paths with titles such as:  

• Software engineer and developer
• Computational scientist
• Data science engineer
• Research scientists (technology companies and universities)

Because technology systems are so essential today, UND graduates can expect career opportunities across a range of industries. A small sampling of top industries needing advanced scientific computing skills include:

• Atmospheric science
• Bioinformatics
• Communications
• Engineering and science
• High tech (hardware)
• Renewable energy
• Scientific and medical research (private and university-level)
• Software engineering and design

Ph.D. in Computer Science Courses

CSCI 515. Data Engineering and Management. 3 Credits.

This course studies theoretical and applied research issues related to data engineering, management, and science. Topics will reflect state-of-the-art and state-of-the-practice activities in the field. The course focuses on well-defined theoretical results and empirical studies that have potential impact on data acquisition, analysis, indexing, management, mining, retrieval, and storage. Prerequisite: CSCI 513 . S, even years.

CSCI 543. Machine Learning. 3 Credits.

An introductory course in machine learning for data science. Topics include the learning algorithms of a Bayesian network, neural network, parametric/non-parametric methods, kernel machine, support-vector machine, etc. for regression, classification, clustering, dimensionality reduction, etc. Prerequisite: CSCI 365 or CSCI 384 . F, odd years.

CSCI 567. Secure Software Engineering. 3 Credits.

This course covers software engineering principles and techniques used in the development life-cycle of cyber secure systems. Topics covered include, the characteristics of secure software, the role of security in the development life-cycle, designing secure software, and best-practices in secure programming and testing. Study includes review of industrial standards for secure software system engineering. Prerequisite: EE 601 , EE 602 , and admission to the MS Cyber Security Program. SS.

CSCI 554. Applications in AI/Computational Intelligence. 3 Credits.

A continuous study of the computational paradigms of Soft Computing in the field of Computational Intelligence. The topics include the applications of the various soft computing techniques in Computational Intelligence as well as more evolutionary algorithms in Swarm Intelligence. Prerequisite: CSCI 544 . F, even years.

CSCI 555. Computer Networks. 3 Credits.

A study of new and developing network architectures and communication protocols. Broadband technologies will be considered including BISDN, ATM networks, and other high-speed networks. Prerequisite: CSCI 327 .

CSCI 557. Computer Forensics. 3 Credits.

An overview of the techniques to detect and assess the level of penetration of a security breach. Topics include forensic science in the cyber domain, laws and ethics of forensic activities, digital evidence, methods of forensic investigation, and forensic procedures in a variety of operating systems and network configurations. Prerequisite: EE 602 , or approval of the department, and admission to the MS program in Cyber Security. S.

Online Computer Science Ph.D.

best online graduate programs

best online college in North Dakota

Intelligent

UND's online Ph.D. in Computer Science is fully online. You never have to come to campus. You'll take a combination of synchronous and asynchronous online computer science courses. 

Affordable Online Colleges

UND is one of the most affordable online colleges in the region. For this program, we offer the same online tuition rates regardless of your legal residency. Compare and you’ll see UND is lower cost than similar four-year doctoral universities.

Top-Tier Online Computer Science Ph.D.

Over a third of UND's student population is exclusively online; plus, more take a combination of online and on campus classes. You can feel reassured knowing you won't be alone in your online learning journey and you'll have resources and services tailored to your needs. No matter how you customize your online experience, you’ll get the same top-quality education as any other on campus student.

• Same degree:  All online programs are fully accredited by the Higher Learning Commission (HLC) . Your transcript and diploma are exactly the same as our on-campus students.
• Same classes: You’ll take courses from UND professors, start and end the semesters at the same time and take the same classes as a student on campus.
• Real interaction:  You can ask questions, get feedback and regularly connect with your professors, peers and professionals in the field.
• Your own academic advisor:  As an invaluable go-to, they’re focused on you, your personal success and your future career.
• Free online tutoring:  We're here to help you one-on-one at no cost. Plus, get access to a variety of self-help online study resources.
• Unlimited academic coaching:  Need support to achieve your academic goals or feeling stumped by a tough course? We'll help with everything from stress and time management to improving your memory to achieve higher test scores.
• Full online access: Dig into virtual research at UND's libraries. Improve your writing skills with online help from the UND Writing Center. Get online access to career services, veteran and military services, financial services and more.
• 24/7 technical support:  UND provides free computer, email and other technical support for all online students.
• Networking opportunities: Our significant online student population means you’ll have a large pool of peers to connect with. UND has numerous online events and activities to keep you connected.

Best Online College

Our high alumni salaries and job placement rates, with affordable online tuition rates make UND a best-value university for online education. UND's breadth of online programs rivals all other nonprofit universities in the Upper Midwest making UND one of the best online schools in the region.

UND ranks among the best online colleges in the nation for:

• Affordability
• Student satisfaction (retention rate)
• Academic quality (4-year graduate rate)
• Student outcomes (20-year return on investment per Payscale.com)

Leaders in Computer Science

As a leader of Big Data, UND's goal is to make things more efficient, more effective and safer for North Dakotans.

Check out the faculty you'll work with at UND or discover additional education opportunities.

• School of Electrical Engineering & Computer Science
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• Youth Program
• Wharton Online

Statistics and Data Science

Wharton’s phd program in statistics and data science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. these include theoretical research in mathematical statistics as well as interdisciplinary research in the social sciences, biology and computer science..

Wharton’s PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as biostatistics within the Medical School and computer science within the Engineering School.

Major areas of departmental research include:

• analysis of observational studies;
• Bayesian inference, bioinformatics;
• decision theory;
• game theory;
• high dimensional inference;
• information theory;
• machine learning;
• model selection;
• nonparametric function estimation; and
• time series analysis.

Students typically have a strong undergraduate background in mathematics. Knowledge of linear algebra and advanced calculus is required, and experience with real analysis is helpful. Although some exposure to undergraduate probability and statistics is expected, skills in mathematics and computer science are more important. Graduates of the department typically take positions in academia, government, financial services, and bio-pharmaceutical industries.

For information on courses and sample plan of study, please visit the University Graduate Catalog .

Get the Details.

Visit the Statistics and Data Science website for details on program requirements and courses. Read faculty and student research and bios to see what you can do with a Statistics PhD.

Statistics and Data Science Doctoral Coordinator 

Dr. Bhaswar Bhattacharya Associate Professor of Statistics and Data Science Associate Professor of Mathematics (secondary appointment) Email: [email protected] Phone: 215-573-0535

• Schools & departments

Data Science, Technology and Innovation (Online Learning) MSc, PgDip (ICL), PgCert (ICL), PgProfDev

Awards: MSc, PgDip (ICL), PgCert (ICL), PgProfDev

Study modes: Part-time Intermittent Study, Full-time

Online learning

Funding opportunities

Programme website: Data Science, Technology and Innovation (Online Learning)

Online Learning Open Days On-Demand

Watch session recordings from our previous Open Days to learn more about studying online.

Find out more and register

Programme description

Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique, modular, online distance learning programme is to enhance existing career paths with an additional dimension in data science.

The programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities.

Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.

Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.

Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.

Studying online at Edinburgh

Find out more about the benefits and practicalities of studying for an online degree:

• Postgraduate online learning

Programme structure

You can study to the following levels:

• Postgraduate Diploma
• Postgraduate Certificate
• Postgraduate Professional Development (PPD)

PPD credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert, Diploma or MSc.

Find out more about compulsory and optional courses

We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.

Learning outcomes

The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain.

Career opportunities

This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.

Introduction to the DSTI Programme

Prof dave robertson (head of cse), introduction to data science, technology and innovation programme, dr areti manataki (senior researcher in the school of informatics), introduction to medical informatics course, entry requirements.

These entry requirements are for the 2024/25 academic year and requirements for future academic years may differ. Entry requirements for the 2025/26 academic year will be published on 1 Oct 2024.

The programme is designed to be accessible. We welcome applicants who meet the standard academic entrance requirements and those with relevant work experience.

A UK 2:1 honours degree, or its international equivalent.

We will also consider a UK 2:2 honours degree, or its international equivalent, in Computer Science, Informatics, Software Engineering, Computational Physics, Mathematical Physics, Mathematics, Statistics, Computational Chemistry, Chemistry with Computer Science, Physics with Computer Science, or Computational Biology.

All applicants need to have some understanding of basic computer programming concepts. If your undergraduate degree discipline is not listed above, you must highlight on your application any relevant knowledge/experience.

We will also consider your application if you have relevant work experience. If you plan to apply on this basis, please include a detailed CV and outline how your professional background demonstrates your ability to undertake the programme in the Relevant Knowledge/Training section of your application. If you are unsure if you have relevant work experience, please email the Data Science team. You may be admitted to the Postgraduate Professional Development route in the first instance.

We strongly recommend that all applicants have SQA Higher or GCE A level Mathematics, or equivalent, and ideally some mathematics classes taken at undergraduate level. We also recommend that students have some experience of computer programming (e.g. C, Fortran, Java, Python, R).

• Email the Data Science team

Students from China

This degree is Band C.

• Postgraduate entry requirements for students from China

International qualifications

Check whether your international qualifications meet our general entry requirements:

• Entry requirements by country
• English language requirements

Regardless of your nationality or country of residence, you must demonstrate a level of English language competency at a level that will enable you to succeed in your studies.

English language tests

We accept the following English language qualifications at the grades specified:

• IELTS Academic: total 6.5 with at least 6.0 in each component. We do not accept IELTS One Skill Retake to meet our English language requirements.
• TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
• C1 Advanced ( CAE ) / C2 Proficiency ( CPE ): total 176 with at least 169 in each component.
• Trinity ISE : ISE II with distinctions in all four components.
• PTE Academic: total 62 with at least 59 in each component.

Your English language qualification must be no more than three and a half years old from the start date of the programme you are applying to study, unless you are using IELTS , TOEFL, Trinity ISE or PTE , in which case it must be no more than two years old.

Degrees taught and assessed in English

We also accept an undergraduate or postgraduate degree that has been taught and assessed in English in a majority English speaking country, as defined by UK Visas and Immigration:

• UKVI list of majority English speaking countries

We also accept a degree that has been taught and assessed in English from a university on our list of approved universities in non-majority English speaking countries (non-MESC).

• Approved universities in non-MESC

If you are not a national of a majority English speaking country, then your degree must be no more than five years old* at the beginning of your programme of study. (*Revised 05 March 2024 to extend degree validity to five years.)

Find out more about our language requirements:

Fees and costs

Details can be found in the course descriptors within the programme codes listed above in Programme Structure.

Tuition fees

Scholarships and funding

Featured funding.

• Online Learning Scholarships

Search for scholarships and funding opportunities:

• Search for funding

Further information

• College Admissions
• Phone: +44 (0)131 650 5737
• Contact: [email protected]
• Bayes Centre
• The University of Edinburgh
• 47 Potterrow
• Central Campus
• Programme: Data Science, Technology and Innovation (Online Learning)
• School: Informatics
• College: Science & Engineering

Select your programme and preferred start date to begin your application.

MSc Data Science, Technology and Innovation (ICL) - 6 Years (Part-time Intermittent Study)

Msc data science, technology and innovation - 1 year (full-time), pgdip data science, technology and innovation (icl) - 4 years (part-time intermittent study), pgcert data science, technology and innovation (icl) - 2 years (part-time intermittent study), pg professional development in data science, technology and innovation (icl) - 2 years (part-time intermittent study), application deadlines.

You must apply at least one month prior to the start date of the programme so that we have enough time to process your application. If you are also applying for funding then we strongly recommend you apply as early as possible.

• How to apply

You must submit one reference with your application.

Find out more about the general application process for postgraduate programmes:

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PhD Data Science

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• Get a prospectus

Entry requirements

Fees and funding.

• What's next?

Our PhD Data Science is an advanced research degree within our School of Mathematics, Statistics and Actuarial Science and we have staff members available to act as supervisors across a number of areas within data science. Possible areas of research include: artificial intelligence, classification/supervised learning, clustering/unsupervised learning, data science education, deep learning, industry 4.0, information retrieval, mathematical foundations of data science, multidimensional scaling, optimisation, and statistical learning. If you're interested in doing a data science research degree at Essex get in touch with our School to discuss potential research areas.

Our staff are strongly committed to excellence in research and excellence in education. Our School of Mathematics, Statistics and Actuarial Science and our School and Computer Science and Electronic Engineering (CSEE) have introduced undergraduates and postgraduate courses in data science since 2014.

The University of Essex is a leading institution worldwide on Data Science Education. DMS has strong track record on Knowledge Transfer Partnerships (KTP) with data-driven industries, for example: Profusion, Mondaq, MSXI and Ocado. DMS has two research groups: Data Science and Mathematics.

Our School of Mathematics, Statistics and Actuarial Science is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

You can start this course in either October, January or April, part-time or full-time.

• Our degree is jointly delivered by our School of Mathematics, Statistics and Actuarial Science and our School of Computer Science and Electronic Engineering.
• Our data science courses benefit from the Institute of Analytics and Data Science (IADS), the Institute of Social and Economic Research (ISER) and the UK Data Archive, all based at the University of Essex.
• Our School is ranked 31st for research power in the Research Excellence Framework 2021.

Our expert staff

Our School of Mathematics, Statistics and Actuarial Science has an international reputation in all areas of mathematical sciences including; statistical learning, artificial intelligence, classification/supervised learning, clustering/unsupervised learning, data science education, actuarial science, mathematical statistics, operational research, applied mathematics, pure mathematics, and mathematics education.

We encourage PhD students to meet with their supervisor regularly. While undertaking your research within our School, joint supervision across other Essex departments and schools is possible.

Your PhD should lead to publications in academic journals. Our PhD students have had papers accepted and published in journals such as: Advances in Data Analysis and Classification ; BMC Bioinformatics ; Ecology ; Journal of Physics A: Mathematical and Theoretical ; Mathematical Modelling of Natural Phenomena ; and The North American Journal of Economics and Finance .

Specialist facilities

The School of Mathematics, Statistics and Actuarial Science is based in the University's state-of-the-art STEM Centre. Research students have a dedicated work space and PCs, with access to software such as MATLAB, Gap, SageMath, Python and R.

All University of Essex research students have access to our innovative and unique scheme, Proficio. Postgraduate research students are automatically enrolled on Proficio, which provides a variety of training courses, and a fund of up to £2,500 per student for conference attendance and relevant external training courses.

Your future

Many of our former PhD students have gone on to work as academics in prominent institutions across the world, such as the University of Bristol, University of Cambridge, University of Nottingham and many other international universities. Some have also remained at the University of Essex, working as postdoctoral research fellows, research impact officers, or lecturers.

Other graduates have joined organisations like the Met Office, the Ministry of Defence, and companies based in the City of London. There is a high demand for data science experts in all sectors of the economy, so our graduates are sought after in the UK and abroad.

“The journey of a PhD student is just like a roller coaster, so make sure you take the time to celebrate the wins and reflect on the losses. My PhD involves examining the process of skeletal muscle activation/deactivation by developing novel mathematical methods to extract dynamic information from image data. The most enjoyable aspect of my work is the flexibility it gives me as an individual and being able to deepen my understanding in the field of Bayesian statistics, which I find particularly interesting. In the future I plan to work in the industry as a Data Scientist, on various projects related either to macroeconomics or finance.” Madalina Mihailescu, PhD Data Science student

UK entry requirements

You will need a good honours degree and a Masters degree in a relevant subject. A well-developed research proposal is also essential.

You may be required to attend an interview/Skype interview for acceptance, and acceptance is subject to research expertise in the department.

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here. Please contact our Graduate Admissions team at [email protected]  to request the entry requirements for this country.

English language requirements

Course structure.

A research degree gives you the chance to investigate an area or topic in real depth, and develop transferable research skills. During your time in the School you have opportunities to attend conferences, publish papers, and give talks at departmental research seminars. You may also attend some university modules, and will meet with your supervisor typically on a weekly basis.

Within our School, our PhD students are usually encouraged to take our taught module, Research Methods, in the first year of study, so you are well equipped with the necessary skills to undertake effective research. You may also attend some other modules on an informal basis.

All our students wishing to study for a PhD enrol on a combined MPhil/PhD pathway. In your second year of study, depending on progress, a decision is made by our School on whether to proceed with either an MPhil or a PhD.

Our full-time research students have a supervisory board to review their progress every six months (or annually if studying part-time). Typically, the board involves your supervisor and one other academic. The recommendations of this are considered by our Departmental Research Students' Progress Board, which will make decisions on your registration status.

If you progress well, you should be confirmed as a PhD student in the first term of your second year of study.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code . For example, the module code HR100-4-FY means:

COMPONENT 01: COMPULSORY

This module is for PhD students who are completing the research portions of their theses.

View Mathematics - Research on our Module Directory

A PhD (with a minimum period of three years) typically involves wide reading round the subject area in your first year, then gradually developing original results over your second and third years, before writing them up in a coherent fashion. The resulting thesis is expected to make a significant contribution to knowledge.

Your PhD is awarded after your successful defence of your thesis in an oral examination (viva), in which you are interviewed about your research by two examiners, at least one of whom is from outside Essex.

Home/UK fee

£4,786 per year

International fee

£18,750 per year

Fees will increase for each academic year of study.

Masters fees and funding information

Research (e.g. PhD) fees and funding information

What's next

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

• tour our campus and accommodation
• find out answers to your questions about our courses, graduate employability, student support and more
• talk to our Fees and Funding team about scholarship opportunities
• meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing [email protected] and we’ll arrange an individual campus tour for you.

2024 Open Days (Colchester Campus)

• Saturday 21 September 2024 - September Open Day
• Saturday 26 October 2024 - October Open Day

You can apply for this postgraduate course online . Before you apply, please check our information about necessary documents that we'll ask you to provide as part of your application.

We encourage you to make a preliminary enquiry directly to a potential supervisor or the Graduate Administrator within your chosen Department or School. We encourage the consideration of a brief research proposal prior to the submission of a full application.

We aim to respond to applications within four weeks. If we are able to offer you a place, you will be contacted via email.

For information on our deadline to apply for this course, please see our ‘ how to apply ' information.

Visit Colchester Campus

Set within 200 acres of  award-winning  parkland - Wivenhoe Park  and located two miles from the  historic city centre of Colchester – England's oldest recorded development. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour.

Virtual tours

If you live too far away to come to Essex (or have a busy lifestyle), no problem. Our 360 degree virtual tour allows you to explore the Colchester Campus from the comfort of your home. Check out our accommodation options, facilities and social spaces.

At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications . The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

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PhD by Distance

Become world-ready, from wherever you are in the world, with a UTS PhD by distance mode.

If your research is based internationally but you want access to UTS's world-leading researchers and reputation, you've been required to complete a PhD for your career but you don't want to relocate, or you want to expand your global networks to create real-world research impact, the PhD by distance mode might be right for you. 

A UTS PhD by distance mode empowers you to develop your future as a researcher in a global context —all without applying for a visa or subletting your apartment.

What you can expect

• full enrolment as a PhD student at UTS
• supervision and mentorship from a panel of experts
• administrative support and guidance from your faculty
• PhD from a Top 100 global university
• access to UTS online facilities and resources
• high-quality research training and professional skills development 

Study requirements

The study expectations of PhD by distance mode students are the same as on-campus students. This means that you will:

• need to meet the same admissions requirements , including English-language proficiency
• be supported by a panel of supervisors
• complete any mandatory coursework
• go through the same candidature stage assessments as other PhDs from your faculty
• be subject to the same student rules that govern PhD study at UTS
• have the same expected timelines for your study as other PhD students
• be liable for the same course fees as other international students unless you are assessed as eligible for a tuition fee scholarship

Support and development

As a fully-enrolled UTS student, you’ll have access to a variety of forms of support for your research, your professional development as a researcher, and your own health and wellbeing, including:

• UTS Library’s extensive digital catalogue and one-on-one researcher support
• online skills development workshops and training modules, including in areas like research writing, software training, and project management
• personalised advice from UTS Careers and access to online resources 
• inclusion in the online research student Teams channel

Find more information about the support available to you as a distance mode PhD student  (PDF, 0.8MB).  Please note that not all benefits available to on-campus students exist in digital form or translate to distance study.

Find out more: Distance mode is available for international students. Read all admissions requirements → There are scholarships that can help with fees. Find out more about the costs of a PhD by distance → Ready for the next steps? Explore the application process → 

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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The Google Digital Marketing and E-commerce Certificate covers the fundamentals of digital marketing and e-commerce with the goal of helping businesses and other organizations grow their online presence and sales. Learners receive hands-on practice using popular digital marketing and e-commerce tools.

Google Information Technology (IT) Support Certificate

The Google Information Technology (IT) Support Certificate teaches an understanding of concepts core to all IT support jobs. Students will learn how to assemble a computer, write effective support documentation, route paths and subnets, manage device software, and more. Individuals also will get experience working with Linux, cloud computing and command-line interfaces.

Google Project Management Certificate

The Google Project Management Certificate teaches learners to run traditional and Agile projects and programs with a toolbox to manage an array of scenarios and project elements, such as schedules, budgets and product requirements. The course also covers organizational structure, process improvement, risk management techniques, and communication and leadership styles.

Graduate Certificate in Agriculture Science Education, Extension and Communication (ASEC)

The online graduate certificate in Agricultural Sciences, Education, Extension, and Communication will provide an opportunity for students to gain skills and showcase their expertise. Completion of the certificate prepares learners for Extension-type jobs or Agriculture teaching positions and provides an opportunity to apply credits toward the master’s degree program.

Graduate Certificate in Applied Behavioral Analysis (ABA)

Harness the power of behavior analysis with Purdue University's online certificate in Applied Behavior Analysis (ABA). Tailored for learners who hold a master’s degree, this 21-credit program equips aspiring behavior analysts to make meaningful impacts. Learn about ethical practices, evidence-based strategies and data-driven progress tracking – all in a flexible online format.

Graduate Certificate in Applied Data Analytics in Technology

The Applied Data Analytics Technology Graduate Certificate will provide professionals the knowledge to effectively and efficiently apply data analysis and visualization techniques to drive data-based decision making. Gain the skills to identify and design analytic processes to improve the overall flow of information and the quality of decision-making within an organization.

Graduate Certificate in Applied Heat Transfer

This certificate program is designed to help you become knowledgeable about the area of applied heat transfer.

Graduate Certificate in Aviation Financial Management

Purdue's online Graduate Certificate in Aviation Financial Management offers a 12-month program tailored for working professionals, providing essential skills for a successful career in aviation finance. Taught by industry-experienced faculty, this program equips you to navigate the dynamic aviation sector, elevating your expertise and positioning you for career advancement in just one year.

Graduate Certificate in Aviation Safety Management

This online program empowers aviation professionals to assess and address safety issues with a flexible, 100% online format. Tailor your learning pace from anywhere in the world, completing the 12 required credit hours in 12 months to 3 years. Learning objectives include exploring human error, risk assessment methods, and developing safety management protocols, with online or phone support from professors.

Graduate Certificate in Biotechnology Quality and Regulatory Compliance (BQRC)

Accelerate your pharmaceutical, medical device, and biotechnology career with our tailored program. Delve into drug development, regulations, and quality management, mastering quality, productivity, and molecular aspects of drug production. In a flexible online format across four semesters, earn 12 credits in just 18 months, boosting your career without sacrificing personal or professional obligations.

Graduate Certificate in Business Analytics

Unlock the power of data with Purdue’s online Business Analytics Graduate Certificate. Delivered by renowned faculty from the Daniels School of Business, this 100% online program offers 11 credit hours, contributing towards an MS/MBA degree. Choose your programming track in Python or R, mastering data collection, manipulation, optimization, analysis and visualization.

Graduate Certificate in Business and Economics Data Analytics

Navigate today's data-driven business landscape with Purdue’s online Business and Economics Data Analytics Graduate Certificate. Featuring courses such as Advanced Python Programming, Applied Game Theory and Data Mining, these credits also serve as a pathway to an online MS/MBA degree. Learn from renowned faculty and enhance your career prospects with valuable quantitative skills.

Graduate Certificate in Business Essentials

Elevate your career with Purdue's Business Essentials courses—online, flexible, and curated by top faculty. Earn badges or a certificate by choosing individual courses or a four-course package in Accounting, Finance, Marketing, and Operations. Ideal for professionals like advertisers, marketers, and financial planners. Advance your expertise today!

Graduate Certificate in Communication and Leadership

This certificate seamlessly transfers to Purdue’s online Master of Science in Communication degree. Unlock your leadership potential with Purdue's online Graduate Certificate in Communication and Leadership. In just six months, you can enhance the strategic communication skills that are essential for corporate success. Gain expertise in cross-cultural leadership and elevate your career with this dynamic, industry-focused certificate.

Graduate Certificate in Digital Marketing and Analytics

The Digital Marketing and Analytics Graduate Certificate program prepares you to develop digital marketing plans and integrate advertising, sales, and logistics across physical and digital channels. Learn e-commerce, online consumer psychology, search engine optimization, social media marketing and web analytics. Credits earned can also count towards Purdue’s online MS/MBA degrees.

Graduate Certificate in Digital Signal Processing

The certificate you earn will serve as evidence that you have achieved a significant level of expertise in digital signal processing.

Graduate Certificate in Dual Language Bilingual Education (DLBE)

Make an impact as a educator with Purdue University's Dual Language Bilingual Education Graduate Certificate. This online program empowers educators to support K-12 dual bilingual learners in increasing their English language and academic skills. Enjoy the flexibility of fully online courses in an 8-week format.

Graduate Certificate in Executive Construction Management

Purdue's ECM Graduate Certificate combines academic rigor and practical training, empowering construction professionals for executive roles. Through four online courses, participants gain expertise in finance, law, risk management, marketing, and strategy. Designed for immediate real-world application, the program also acts as a gateway to the Master's in Construction Management, making it an ideal choice for aspiring industry leaders.

Graduate Certificate in Financial Economics

Explore the dynamic intersection of finance and economics with Purdue’s online Financial Economics Graduate Certificate. In 11 credits, this certificate enhances your expertise in economic and statistical concepts, providing a solid foundation for evaluating and predicting key economic outcomes. Earn an esteemed academic credential while accruing credits applicable to an online MS/MBA degree.

Graduate Certificate in Foundations of Artificial Intelligence (AI)

Purdue’s Foundations of Artificial Intelligence (AI) Graduate Certificate gives students the opportunity to learn in-demand AI skills in less time than a traditional master’s degree – making fast career advancement accessible and affordable.

Graduate Certificate in Fundamentals of Human Resources

Become a business-savvy HR leader with Purdue’s online Fundamentals of Human Resources Graduate Certificate. Taught by renowned faculty, this program offers 10 credits toward an online MS/MBA degree. Gain essential skills in HR management, organizational behavior and decision-making. Discover key processes that can be applied across various functional areas in the field.

Graduate Certificate in Gifted, Creative and Talented Studies

Fall in love with teaching again with Purdue University's online graduate certificate in Gifted, Creative, and Talented Studies. Our 4-course, talent development approach equips you to develop the strengths of all students while focusing on those with high ability. Get a quality education that fits your schedule and explore future pathways to an advanced degree.

Graduate Certificate in Global Supply Chain Management

Explore the dynamic world of supply chain management with Purdue's online Global Supply Chain Management Graduate Certificate. Learn from renowned faculty and gain expertise in operations, business analytics and logistics while earning 12 credits toward an online MS/MBA degree. Master the intricacies of supply chain decisions, business strategy alignment and the seamless integration of key functionalities.

Graduate Certificate in Healthcare Leadership

Uncover the intricacies of U.S. healthcare systems, mastering strategic communication, marketing and leadership. Through practical projects, develop skills in optimizing human capital, navigating current health systems and advocating for impactful utilization. Be prepared to lead and innovate in the dynamic landscape of healthcare administration.

Graduate Certificate in Healthcare Operations

Gain insights into healthcare accounting practices and capital infrastructure. Learn to identify key components and challenges in the U.S. healthcare system, conduct needs assessments for informed decision-making and create financial roadmaps for long-term success.

Graduate Certificate in Healthcare Quality Improvement

Delve into healthcare operations, leveraging cutting-edge health IT to enhance processes. Gain insights into the U.S. healthcare landscape, honing analytical skills to improve organizational challenges. Uncover the legal and ethical foundations of healthcare policy, while optimizing processes for heightened staff satisfaction and superior patient care.

Graduate Certificate in Hypersonics

This online program covers cutting-edge techniques in fluid dynamics, aerospace propulsion, and compressible flows. As hypersonic technology progresses swiftly, a deep understanding of this field is crucial for success in aerospace and defense industries, playing a vital role in national security and beyond.

Graduate Certificate in Information Technology Business Analysis

Purdue University's Information Technology Business Analysis Graduate Certificate, offered online, equips professionals to drive IT projects by determining business requirements. This 100% online program enhances skills in organizational dynamics, allowing flexible completion of 12 credit hours within 12 months to 3 years. Become a vital liaison, bridging leadership and the IT department in the evolving business and technology landscape.

Graduate Certificate in Innovation and Technology Commercialization

Realize your ideas with Purdue’s online Innovation and Technology Commercialization Graduate Certificate. With courses in technology strategy, collaborative innovation and financing, you'll gain the skills needed to bring groundbreaking concepts to market. Gain profound insights into the ideation-to-market process from our esteemed faculty and earn nine credits toward an online MS/MBA degree.

Graduate Certificate in Instructional Design

Explore up-to-date ideas and methods behind learning design and technology with Purdue University’s online Graduate Certificate in Instructional Design. You'll explore the core knowledge necessary to create concise, informative and accurate learning experiences to pursue a variety of career paths in an industry that's constantly growing and looking for professionals with relevant educational backgrounds.

Graduate Certificate in K-12 Integrated STEM Education

Expand your teaching skills with Purdue University's online K-12 Integrated STEM Education Grad Certificate. Gain valuable experience in designing STEM curriculum and teaching methodologies. Bolster your conceptual understanding of K-12 STEM education and connect with your peers. Enjoy a quality program with flexible scheduling, and explore potential pathways to an advanced degree.

Graduate Certificate in Leadership, Change Management and Negotiations

Elevate your career and leadership potential with Purdue’s online Leadership, Change Management and Negotiations Graduate Certificate. Explore leadership, negotiations, change management, diversity and organizational behavior with acclaimed faculty. Earn 9 credit hours towards an online MS/MBA. Navigate the dynamic HR landscape, mastering diversity and behavior management.

Graduate Certificate in Managing Information Technology Projects

Purdue Polytechnic Institute's Managing Information Technology Projects Graduate Certificate (Online) equips professionals with vital IT project skills. This top-ranked program, #4 for Best Value, provides 100% online flexibility with eight-week courses. Enhance your strategic thinking and business acumen while completing the 12-credit-hour certificate in 12 months to 3 years, offering a valuable return on investment.

Graduate Certificate in Microelectronics and Semiconductors

The Graduate Certificate in Microelectronics and Semiconductors (MESC) offers an entry point for professional engineers and technology professionals to obtain critical skills and expertise in an essential industry. Select from a variety of courses in semiconductor materials, advanced semiconductor device design and modeling, integrated circuit and system design, and advanced packaging and heterogeneous integration.

Graduate Certificate in Noise Control

The Noise Control certificate program is designed to enhance your understanding of Noise Control Engineering processes and technologies and their applications in the industry.

Graduate Certificate in Public Economics and Policy

Unlock new career opportunities with Purdue’s online Public Economics and Policy Graduate Certificate. Delve into economic research, analyze global governmental policies and tackle implementation obstacles in courses taught by our distinguished faculty. Deepen your understanding of economic laws across diverse industries while earning 10 credit hours toward an online MS/MBA degree.

Graduate Certificate in Regulatory Affairs and Regulatory Science for Medical Devices

This online certificate program at Purdue University focuses on regulatory affairs science for medical devices. It equips professionals with knowledge in regulatory processes, quality systems and compliance strategies for medical device development. The curriculum covers key aspects of regulatory affairs, preparing individuals for roles in ensuring regulatory compliance the medical device field.

Graduate Certificate in Spatial Data Science

Meet the growing demand for spatial data science experts. Build expertise in spatial data science, GIS analytics and geospatial data visualization, 100% online and in two semesters. As a leading education provider in this space, Purdue University prepares you to seize emerging opportunities in data science for agriculture, land-use management and big data applications across industries.

Graduate Certificate in Strategic Communication Management

Enhance your career with our online Graduate Certificate in Strategic Communication Management. In just nine credit hours, you can develop advanced skills in planning, executing and evaluating strategic communication plans. Learn from industry experts and gain insights into public relations, crisis communication, internal communication, communicating with global perspectives and more.

Graduate Certificate in Systems Engineering

Systems thinking teaches people how to consider the complex interconnections between different elements of social, biological, economic, political, and technological systems and turns the spotlight on the role of humans in improving and changing system designs. Whether it’s solving problems in the global energy grid or creating 3-D nanostructures, systems thinkers understand that the whole is more than the sum of its parts.

Graduate Certificate in Teaching and Learning in Engineering

Purdue's School of Engineering Education online graduate certificate in Teaching and Learning in Engineering benefits not only those aspiring to academic positions but also current engineering or STEM professionals seeking to refine their teaching skills for diverse formal and informal educational roles.

Graduate Certificate in Teaching English Language Learners (TELL)

Grow as an educator with Purdue University's online Graduate Certificate in Teaching English Language Learners. This fast-paced program equips educators to support K-12 English language learners in language and academic development. Enjoy the flexibility of online learning, and explore pathways to further credentials or a master's degree.

Graduate Certificate in the Foundations of Data Science

Purdue's Foundation of Data Science Graduate Certificate gives students the opportunity to learn in-demand data science skills in less time than a traditional master’s degree – making fast career advancement accessible and affordable.

Graduate Certificates in Leadership Development (Career and Technical Education)

Amplify the effectiveness of your teaching with the online Leadership Development Program. Six different graduate certificates are conceptualized within and around major leadership functions and practices in the field of career and technical education, including: work-based learning, career education, special needs, generalizable skills and more.

Healthcare Technology

Three courses: Analytical Approach to Healthcare Delivery, Medical Devices: Development and Clinical Application, Medical Technology Development in the Covid-19 Era

Hemp Essentials

The popularity of hemp oil products and products containing Cannabidiol (CBD) derived from hemp make it a tempting crop, but that is not the whole story. The Hemp Essentials program takes a holistic approach, providing an understanding of the hemp industry beyond just hemp cultivation and production, with the goal of teaching how to become a better consultant or grower.

Integrated Pest Management

Purdue's pest management correspondence and online courses have been the training of choice for thousands of pest management professionals. Pest management companies have adopted a number of the courses as standard training for their employees, and nearly every state in the country has approved one or more of the courses for certification or re-certification purposes.

Interdisciplinary Master of Science in Engineering

Consistently ranked among the top online master’s in engineering programs by U.S. News & World Report, the online Interdisciplinary Master of Science in Engineering degree offers professionals a customizable educational experience with access to 200+ online courses taught by Purdue College of Engineering faculty across 15+ schools and departments.

Interdisciplinary Master of Science in Engineering, Major in Microelectronics and Semiconductors

Unlock the Future with the Interdisciplinary Master of Science in Microelectronics & Semiconductors. Powering technology, semiconductor chips drive innovation in computing and electronics. Be a leader in the evolving world of microelectronics with Purdue's specialized expertise and immediately apply your training to meet surging demand in the industry.

Interpersonal Dynamics

Enhance your workplace effectiveness with Purdue’s hybrid Interpersonal Dynamics program. Gain skills to manage up, enhance team decision-making, lead in virtual environments, handle difficult colleagues, foster self-awareness, practice situational leadership and address conflicts for peak performance. Transform your approach to teamwork in diverse work environments.

Lean Principles

Tailored for diverse industries, Purdue’s Lean Principles certificate equips participants with a personalized toolkit for implementing Lean methodologies. Whether taken independently or as part of a comprehensive series, this course sets the stage for a Lean Six Sigma journey that empowers you to optimize your organizational value stream. Students can also earn 3.5 CEUs at no extra cost.

Lean Six Sigma Black Belt

The Lean Six Sigma Black Belt Certificate from Purdue University is the pinnacle of our Online Lean Six Sigma series. The course includes a hands-on project tailored to the student's organization, fostering practical application of Lean or Six Sigma principles. Graduates emerge as empowered leaders and adept problem solvers. Students can also earn 9.0 CEUs at no extra cost.

Lean Six Sigma Green Belt

Embark on a transformative journey with our Lean Six Sigma Green Belt Certification online course. The comprehensive curriculum includes additional Lean training and sets the stage for future success in our Six Sigma Black Belt course. As a Purdue University-certified Green Belt, you can also earn 4.5 CEUs at no extra cost.

Lean Six Sigma Green Belt Refresher

The online Six Sigma Green Belt Refresher is your key to reinforcing Lean Six Sigma Green Belt-level expertise. Whether refreshing or starting anew, this refresher paves the way for success in Purdue’s rigorous certification process. Upon successful completion of the Refresher's pre-assessment grants access to the Lean Principles course, a prerequisite for the Black Belt journey.

Lean Six Sigma Yellow Belt

Purdue University's Lean Six Sigma Yellow Belt self-paced course is part of Purdue Online's curated series. There is a 90-day completion window for this course, ensuring flexibility. This online certificate program equips students with fundamental Lean Six Sigma concepts, empowering them to wield essential tools in problem-solving and process improvement.

Licensure – Building Level Administrator

Distinguish yourself in the education industry with superior credentials from an institution with worldwide recognition and impact. The Building Level Administrator Licensure program prepares you for the position of school principal. This 21-credit program is offered in an online format and prepares you for an additional Indiana Building Administrator License.

Licensure – English Language Learning (ELL)

Make an impact as an educator with Purdue University's online English Language Learners Licensure Program. This fast-paced program equips educators to support K-12 English language learners in language and academic development. Enjoy the flexibility of online learning, enhance your skills, and earn an add-on license in English Language Learning.

Licensure – High Ability

Fall in love with teaching again with Purdue University's online High Ability license program. Tailored for certified Indiana educators, our 4-course, talent development approach empowers you to develop the strengths of all students while focusing on those with high ability. Get a quality education that fits your schedule and explore future pathways to an advanced degree.

Licensure – Special Education

Gain advanced teaching and intervention skills in your chosen area of special education and take the next steps in your career. Currently on an emergency or provisional Special Education permit? As of July 1, 2022, many states, including the State of Indiana, are requiring permit holders to enter a professional license preparation program. Come see what Purdue can offer!

Licensure – Transition to Teaching

This program is based on previous subject matter expertise and focuses on teaching you how to teach it. This 18-credit program supports your development as an effective teacher and provides a pathway for initial licensure in Indiana in your content area.

Master of Business Administration (MBA)

Invest in your career with the online MBA at Purdue University's Mitchell E. Daniels, Jr. School of Business — no GMAT or GRE required. As a top 10 innovative STEM institution, Purdue offers a data-driven curriculum, fostering leadership, problem-solving and global business acumen. Our AACSB accreditation and prestigious alumni network will boost your career opportunities.

Master of Health Administration

Be on the cutting edge of healthcare's transformation with Purdue’s 100% online Master of Health Administration (MHA) program. Delve into U.S. health systems, gaining a holistic understanding applicable to a variety of leadership roles needed by health agencies, hospitals, clinics and more. Master organizational operations, strategic planning and leadership skills, preparing yourself to help play a pivotal role in shaping the future of healthcare.

Master of Jurisprudence & Master of Science in Agricultural Economics/Law

Take advantage of our unique MJ-MS in Agricultural Economics to drive innovation and design solutions in the increasingly complex and emerging agricultural law field! This dual degree program consists of the Master of Jurisprudence and Master of Science in Agricultural Economics, bringing together expertise from two highly ranked institutions to provide a unique educational opportunity in agricultural law.

Master of Nuclear Engineering

The online Master of Nuclear Engineering is conveniently designed for professional engineers looking to advance their skills without disrupting their careers. The School of Nuclear Engineering educates ethical nuclear engineers to provide technical expertise to nuclear engineering communities around the world, expand the frontier of knowledge through cutting-edge and innovative research in all areas of nuclear engineering.

Master of Public Health

Advance your public health career with Purdue's accredited online Master of Public Health. Tailored for professionals seeking real-world solutions, the program delivers science-based knowledge and hands-on experience. Gain essential skills and expertise to lead impactful public health initiatives through the lens of contemporary families and communities.

Master of Science & Master of Business Administration in Food and Agribusiness Management

The MS-MBA in Food and Agribusiness Management is the only industry-focused graduate program that allows you to continue your career while pursuing two master’s degrees from reputable universities—an MBA from the Kelley School of Business at Indiana University and an MS in agricultural economics from Purdue University’s College of Agriculture.

Master of Science in Aeronautics and Astronautics

Ranked among the top aerospace graduate programs by U.S. News & World Report, Purdue offers the Master of Science in Aeronautics and Astronautics online for professionals to earn from anywhere, anytime.

Master of Science in Applied Statistics

Purdue University’s online Master's in Applied Statistics prepares students to advance theory, methods and computing for the purpose of meeting today’s emerging science and technology by including machine learning, big data, data visualization and analytics into all areas of discovery.

Master of Science in Artificial Intelligence (AI)

Purdue University's online Master's in Artificial Intelligence will mold the next generation of AI experts and engineers to help meet unprecedented industry demand for skilled employees. The interdisciplinary nature of the degree allows students to work with Purdue's well renowned faculty in their fields, and customize the program tailored towards specific areas of artificial intelligence.

Master of Science in Autonomy 

The master’s in autonomy focuses on the analysis, control and design of autonomous systems spanning many application domains. Courses include fundamental theories and tools for modeling, analyzing and developing algorithms to achieve autonomy of both individual systems and a network of interconnected systems.

Master of Science in Aviation and Aerospace Management

Purdue University's online MS in Aviation and Aerospace Management equips professionals for success in the dynamic aviation industry. Taught by experienced instructors, this flexible program imparts crucial leadership skills, covering operational analysis, safety systems, and more. Graduates are prepared for global careers in aviation, making it an ideal choice for those seeking comprehensive expertise.

Master of Science in Biomedical Engineering

The online Master of Science in Biomedical Engineering provides professionals with flexibility to advance their careers. Renowned for its award-winning engineering curriculum, this program offers a comprehensive understanding of biomedical engineering. Students benefit from internationally recognized faculty, innovative coursework, and the convenience of online learning while enhancing their expertise.

Master of Science in Biotechnology Innovation and Regulatory Science (BIRS)

Elevate your career with Purdue University's online Master of Science in Biotechnology Innovation & Regulatory Science (BIRS). Explore advanced topics like drug development, regulatory compliance, and quality management while collaborating with industry and academic experts.

Master of Science in Business Analytics

Purdue’s online Master of Science in Business Analytics (MSBA) program, developed by the esteemed faculty at the Mitchell E. Daniels, Jr. School of Business, consists of 30-credit hours. Our curriculum empowers you to harness cutting-edge information technologies and analytical techniques. Gain proficiency in cutting-edge big data technologies and learn to translate insights into strategic decisions.

Master of Science in Civil Engineering

Elevate your career with Purdue University's online Master's in Civil Engineering (MSCE). Choose from three cutting-edge tracks: Infrastructure, Resiliency and Sustainability; Sustainable Water; or Smart Mobility. Consistently ranked among the top 2 in Best Online Master of Science in Civil Engineering Programs. Tailor your curriculum to meet your professional goals with three interdisciplinary tracks.

Master of Science in Communication

Purdue University's online Master of Science in Communication is for professionals ready to excel in the dynamic field of communication. Tailor your degree with four concentrations and learn from industry experts. Develop branding, messaging and reputation management skills for success in the digital communication landscape. Our program accepts credit transfers from Purdue's graduate certificates in Strategic Communication Management or Communication and Leadership.

Master of Science in Computer and Information Technology 

Elevate your career with Purdue's 100% online Master's in Computer and Information Technology, offering flexible learning, expert faculty, and concentrations in Project Management, Business Analysis, or Data Literacy, Visualization and Analysis for tailored expertise in the ever-evolving tech landscape.

Master of Science in Construction Management

Purdue University's online MSCM merges construction project execution with executive management skills. Led by industry experts, the program shapes general and executive construction managers. Tailored for the construction sector, it mirrors an MBA, providing practical insights and sector-specific skills. Ideal for those with a relevant bachelor's degree and two years of experience, the flexible online MSCM promises accelerated career growth in a 24-month timeline.

Master of Science in Data Science

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The interdisciplinary nature of the degree allows students to work with Purdue's well renowned faculty in their fields, and customize the program tailored towards specific areas of data science.

Master of Science in Economics

Purdue University's online Master’s in Economics program is tailored for those passionate about analyzing economic data. Our curriculum equips you with skills applicable to both business and public policy decision-making. Specialize in four unique areas, delve into extensive datasets and learn cutting-edge quantitative methods from top faculty.

Master of Science in Education in Curriculum and Instruction (CI)

Expand your teaching and administration skills with Purdue University's online MS in Education in Curriculum and Instruction. Empower students through innovative methodologies, social justice integration and strength-based approaches in K-12 STEM education. Whether you teach, lead or administer, this program gives you the tools you need to promote student success.

Master of Science in Education in Educational Studies in Educational Leadership and Policy Studies

Start your leadership journey with Purdue University's MS in Education with a concentration in Educational Leadership and Policy Studies. Tailored for K-12 teachers aspiring to work in school administration, this online program aligns with Indiana's building level administrator license requirements. Benefit from Purdue's quality education and flexible scheduling.

Master of Science in Education in Learning Design and Technology

Become a transformative educator with Purdue University's online MS in Education in Learning Design and Technology. Craft impactful instructional materials for diverse learners, from K-12 classrooms to corporate settings. Empower learners of all ages with cutting-edge technology and innovative teaching strategies.

Master of Science in Education in Special Education

Lead the way in special education with Purdue University's online MS in Education in Special Education. Tailored for licensed or aspiring educators, this programs lets you choose from six learning pathways, including licensure options with mild and intense intervention. Acquire advanced skills to support students with diverse needs using innovative strategies and technology.

Master of Science in Electrical & Computer Engineering

Consistently ranked among the top by U.S. News & World Report, the online Master of Science in Electrical & Computer Engineering offers engineering professionals flexibility without sacrificing quality. Gain comprehensive knowledge, innovative thinking, and guidance from world-class faculty. Explore various focus areas and/or earn a graduate concentration in Microelectronics and Advanced Semiconductors, enhancing your engineering career.

Master of Science in Engineering Education

The online Master of Science in Engineering Education (MSENE) program is conveniently designed for professional engineers, industry training professionals, university faculty members, and graduate-level STEM students to advance their skills without disrupting their careers or current studies.

Master of Science in Engineering Technology

Purdue's Master's in Engineering Technology empowers you to tackle industry challenges with science and technology. Designed for diverse backgrounds, this program fosters practical skills, real-world problem-solving, and technological expertise. Learn from industry leaders, adapt to dynamic trends and become a tech-savvy leader.

Master of Science in Global Supply Chain Management

Explore new career heights with Purdue University’s online Master of Science in Global Supply Chain Management (MSGSCM). Advance your career in a flexible, analytics-focused learning environment in 1.5-2.5 years. Join a top-ranked program that empowers your journey in supply chain excellence. Craft your path with faculty-designed courses, fostering cross-disciplinary prowess.

Master of Science in Hospitality and Tourism Management

Gain essential skills in executive management, leadership and analytics -- all while staying current on hospitality and tourism industry trends. Learn from leading instructors, tackle real-world challenges, and join a top-ranked program to become a customer experience expert and distinguish yourself in the competitive field of hospitality management.

Master of Science in Human Resource Management

Elevate your career with Purdue’s online Master's in Human Resource Management (MSHRM). This fully online program empowers HR professionals to prepare for diverse career paths in HR, organizational effectiveness and change management in 20 to 36 months. With a robust core curriculum and elective options, our 30-credit-hour program fosters cross-disciplinary skills.

Master of Science in Industrial Engineering

The #1 ranked online Master of Science in Industrial Engineering is designed for professionals to obtain your professional goals in topic areas such as human factors engineering, manufacturing systems, production systems engineering, and more.

Master of Science in International Agribusiness

Purdue's online international agribusiness degree develops abilities in data analytics, data analysis, and data-driven decision-making, which are transferable across the agribusiness field. This degree prepares students for careers in the fast-paced global economy, as well as the dynamic, quickly increasing worldwide agriculture and food industry in particular.

Master of Science in Internet of Things 

The Master’s in Internet of Things focuses on the area of analysis and design of internet-of-things such as a system of interrelated computer devices, mechanical and digital machines, sensors and so on that connect and exchange data over the internet or other communication networks.

Master of Science in Mechanical Engineering

Engage in Purdue University’s world-class mechanical engineering education that pushes the boundaries as our faculty and leaders in their respective fields, will guide you through transformative projects. Choose from specializations like fluid mechanics or nanotechnology within the 30-credit-hour curriculum and gain expertise that goes beyond conventional limits.

Master of Science in Robotics 

The master's in robotics emphasizes the analysis, control and design of robots, which play a crucial role in modern society; including robotic arms for manufacturing and assistive co-robots in healthcare.

Master of Science in Software Engineering 

Purdue University's online Master's in Software Engineering will mold the next generation of software professionals to help meet society’s need for skilled software engineers and entrepreneurs. Students will study under Purdue's renowned faculty in software engineering, computing systems and cybersecurity, and can further customize their experience toward specific topics.

Master of Science in Systems Engineering 

Study and gain skills in the tools, methods, and processes of designing, analyzing, controlling and improving complex engineered systems from world-renowned faculty who are experts in their field.

Master of Science in Technology Leadership and Innovation

Further your skills in leadership with our online Master of Science in Leadership and Innovation. Tailored for tech professionals, this program explores global business dynamics, project management, and policy impact on innovation.

Master’s in Applied Geospatial Analytics

Purdue University’s 100% online Master's in Applied Geospatial Analytics program combines a world-class graduate degree in geospatial analysis with the convenience of online coursework. You will gain skills to create strategic data-driven analyses, with a focus on geospatial intelligence.

Master’s in Educational Studies in Applied Behavior Analysis

Discover how people learn and explore theories of behavior change. The online master’s degree in Applied Behavior Analysis (ABA) is a 30-credit program will focus on the principles and foundations of applied behavior analysis and how they can be used to teach new skills and improve human behavior. Students will be prepared to sit for the Board-Certified Behavior Analyst (BCBA)® exam.

Master’s in Corporate Training and Communication

Elevate your career with Purdue's online Master’s in Corporate Training and Communication. Learn strategic communication and instructional design, preparing you to lead effective training strategies in various contexts. Gain practical knowledge and enhance your job prospects.

Model-based Definition Certificate Program

Model-based definition (MBD) is an emerging industry technique that uses 3D CAD models with annotations to communicate information between people and equipment. This certificate program covers this state-of-the-art technique, which produces reduced variability during data translation, more accurate product definition information, and wider dissemination of product data through an increasingly digital corporate enterprise.

Model-Based Systems Engineering Foundations and Applications to the Production Enterprise

Seven modules built under a Production Engineering Education and Research grant from the National Science Foundation. Module content was selected to help meet the industry's needs for a workforce prepared to perform efficiently in a model-based digital enterprise, especially in a production engineering context.

Pharmacy Technician Training Program

Earn your credentials from a PTCB-Recognized Training Program and prepare to take the national Pharmacy Technician Certification Exam® (PTCE®).

PhD in Educational Leadership and Policy Studies

Become an impactful leader in education with Purdue University's Ph.D. program in Educational Leadership and Policy Studies. Tailored for aspiring K-12 superintendents, this hybrid program combines on-campus and distance learning for a flexible yet rigorous academic experience. Make your next giant leap in educational leadership!

PhD in Higher Education

This cohort doctorate program is for students who are interested in preparing for service and leadership in a broad range of roles in Colleges and Universities. Students will co-author with faculty a minimum of three articles, published in peer reviewed journals. Additionally, a study abroad experience will provide students with mentorship and real-world experience.

PMP® Exam Preparation

Purdue University online's PMP® Exam Preparation is a comprehensive live, virtual course designed for experienced project managers aiming to prepare for the PMP exam. If you seek a PMBOK® Guide refresher, consider our Project Management Essentials course. Enjoy 90-day access to PMP® Exam Prep materials and a complimentary 90-day pass to PMtraining™ online practice tests, valued at $59.

Prequalified Structures for The Stage

This course explores theater set design structures and responsibilities, covering loads, materials, and engineering in entertainment settings. Students gain insight into how builds are made and enhance safety awareness.

Principles and Practice of Lyophilization

This introductory course takes you on an immersive journey through the principles and processes of pharmaceutical freeze-drying.

Principles of Animal Nutrition

Principles of Animal Nutrition deals with classification and function of nutrients, deficiency symptoms, digestive processes, characterization of feedstuffs, and formulation of diets for domestic animals.

Private Applicator Recertification Program

A Private Pesticide Applicator is anyone who applies pesticides to property they own, rent or otherwise control for the purpose of producing an agricultural commodity. Any private applicator wishing to buy and use restricted-use pesticides must be certified by passing the Core exam.

Product Life Cycle Management Certificate Program

The Purdue PLM Certificate Program combines concepts with experiential learning to offer a practical foundation on Product Lifecycle Management (PLM). The program focuses on areas that are critical for successful PLM implementation – digital product definition, product data management and "downstream" processes like virtual manufacturing.

Professional Development Portal for Teachers

The Professional Development Portal provides a one stop training shop for K-12 teachers, online instructors, and university instructors at any level. Learn about online courses, access free articles, resources, or find workshops to build skills and creativity.

Project Management Essentials

Aspiring Project Management Professionals (PMP)® can start their journey with Purdue University’s online Project Management Essentials certificate. This program is open to any professional seeking proficiency in efficient and effective project management. Gain essential knowledge and skills, fulfilling PMI’s 35-hour education requirement for the PMP® exam.

Purdue Fort Wayne

Purdue Fort Wayne is here to help you build fulfilling careers, meaningful lives, and flourishing communities. Find the online degrees and courses you need to tailor your education at PFW.

Purdue Global

Purdue Global is the online campus for working adults within the Purdue system, delivering a full portfolio of personalized online degrees tailored to the unique needs of adults who have work or life experience beyond the classroom.

Purdue Northwest

Gain the skills, knowledge and credentials you need to keep pace in the nursing field and advance your career. Purdue University Northwest’s College of Nursing offers an online RN to BSN program that’s affordable, accelerated and respected. Prepare to meet the demand for BSN-educated nurses in this fast-growing field.

Purdue Pesticide Programs

These self-paced, online eLearning courses can prepare you for the Indiana pesticide certification exams or introduce workers to the basics in your field. These courses present 5 to 8 hours of training through Purdue University’s online delivery system and includes a copy of the training manual as part of the registration fee.

Semiconductor Fabrication

The courses is designed for students and professionals who want to know how these essential physical building blocks of the digital age are made.

Semiconductors for Beginners – Device to Fabrication

What semiconductors are, how they serve as the hearts of modern electronics, and how they are being made will be the integral components of this course.

Six Pillars of Farm Risk Management

The Six Pillars of Farm Risk Management will encompass a process to mitigate, transfer, and avoid risks in production, marketing, financial, legal, human resource, and social media. This 100% online course incorporates all six pillars of contingency planning through online modules, recorded videos, webinars, and social media community forums with participants that can be delivered nationwide.

Strategic Defense Technologies Professional Certificate

Purdue’s online Strategic Defense Technologies certificate is self-paced program for midcareer military, DoD personnel, contractors, and policymakers. The certificate includes courses like Space Strategy and Data and AI Storytelling. Learners must complete three courses for the certificate, designed by Purdue experts to adapt to tech changes. No prerequisites required.

Systems Engineering Processes and Professional Competencies – INCOSE Certification

INCOSE certification validates competency in systems engineering, encompassing knowledge, education, experience, and leadership. Purdue's course covers life cycle processes outlined in the INCOSE Handbook, supplementing with insights from primary literature. It guides through the certification application, imparting soft skills crucial for successful systems engineering. Completion with at least 85% proficiency exempts from the INCOSE knowledge exam, validating mastery.

Technical Data Package Certificate Program

Learn how Technical Data Packages (TDP) are used to provide an authoritative technical description of an item which is clear, complete and accurate, and in a form and format adequate for its intended use.

Technical Management Institute

Purdue’s hybrid Technical Management Institute program is where tech-savvy professionals can develop their management skills. Led by industry-seasoned faculty, courses cover project financials, data visualization, executive presence, managerial accounting, leading technical teams and program/project management. Experience practical learning through real-world application with no exams.

Themed Entertainment Design 

Would you love a job creating and designing themed attractions and experiences that will bring stories to life? Whether you're an engineer, interior designer or media arts specialist, apply your skills to themed entertainment and bring stories to life in theme parks, zoos, museums and more.

Tipping Point Planner

The Tipping Point Planner course helps you examine past and predicted environmental changes, identify environmental threats, and define natural resource assets in need of protection or restoration. With the tool, you will use innovative visualization dashboards, paint tools, and interactive visioning exercises to help your community define its priorities and explore land use strategies that enhance local values.

Urban Agriculture

The Urban Agriculture Certificate provides students with an in-depth instruction for urban crop production from farm design through harvest techniques. This 100% online program provides students the flexibility to earn their certificate from anywhere, anytime.

Veterinary Nursing Distance Learning

Jumpstart your future in veterinary nursing by gaining the knowledge and experience you need to excel in this exciting career. Earn an associate's degree from Purdue University in as little as three years – 100% online!

Wildlife Veterinary Medicine and Conservation Certificate

The Introduction to Wildlife Veterinary Medicine and Conservation Online Certificate provides a comprehensive overview of the latest trends and issues in the field of wildlife medicine and rehabilitation. Taught by two of the top active wildlife veterinarians within the field, this 15-week online certificate program provides an inside look at the day-to-day operations of those who are on the front lines of wildlife conservation within their communities.

Wine Appreciation

The Wine Appreciation class will allow you to easily learn about wine from a true wine scientist and winemaker without intimidation and prerequisites. Unofficially labeled as one of Purdue's coolest classes, Wine Appreciation is now open to the public and 100% online. It is now available as a certificate or as individual mini-tours of notable wine regions. Both can be purchased as a gift.

Winemaking Certificate

This Winemaking Certificate is an advanced online enology course that serves as a critical review of commercial winemaking principles and practices. The program provides a package of technical knowledge for professional winemakers and industry employees wanting to enhance their knowledge, as well as serious noncommercial winemakers looking to take their pastime to the professional level.

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PhD opportunities

Our research areas.

Our staff have a wide range of expertise in computer science. As you explore your options and consider your research topic, find out more about our staff and the areas of postgraduate research that they supervise .

There are also opportunities to work with other Schools and Departments across the University. 

Types of doctoral degree

Part-time study

PhD by Distance

Find a PhD opportunity that aligns with your interests and career ambitions. We want to ensure that your time spent with us is as rewarding as possible. To allow you to explore your various options, here's a list of some of our currently available PhD opportunities. You can also propose your own project that aligns with our research. Find out more about how to apply for a PhD , and identify and contact a supervisor .

Take the next step

• How to apply
• Get a prospectus
• Ask us a question
• Learn about the Doctoral and Researcher College

• Personalise your journey
• Contact QUT Contact QUT

Graduate Certificate in Data Science

Develop the skills to analyse data, create visualisations, and apply statistical and machine learning models. Prepare for a career in data science and analytics, or specialise further in the Master of Data Science program.

• Gardens Point
• 1 year full-time
• 0.5 years part-time

In this course you will

• Gain expertise in a highly sought-after capability applicable across various industries, including translating data into insights and intelligence to drive change and make crucial decisions. 
• Learn how to design problem analyses, generate data visualisations, develop and validate appropriate statistical and machine learning models, and incorporate analyses into solution pipelines. 
• Access expert academics and leading researchers who apply data science and data analytics to real-world challenges and have strong industry connections worldwide. 

Applications are open for 2025

Secure your spot now.

Mark your calendar, as the on-time application closing date for the upcoming semester is fast approaching.

Why choose this course?

When you choose our Graduate Certificate in Data Science course, you'll be setting yourself up for success in the dynamic and rapidly growing field of data science. Our curriculum is designed to equip you with the essential knowledge and skills to excel in this competitive industry. By choosing this course, you are investing in a solid foundation that will prepare you for a fulfilling career or further postgraduate studies in data science.

Here are just a few reasons why this course is the perfect choice for you:

Comprehensive learning outcomes

Our course covers a wide range of learning outcomes, including demonstrating general knowledge of data science principles, employing appropriate data science methods, applying problem-solving approaches, working independently and collaboratively in teams, communicating professionally, appraising personal values and performance, and reflecting on social and ethical data science issues.

Practical application

You'll have the opportunity to apply what you learn to real-world scenarios, enabling you to derive insights from data to support decision-making and to design and execute data science solutions.

Professional development

Our course will help you develop technical skills and appraise your personal values, attitudes, and performance in your continuing professional development.

Emphasis on collaboration and communication

You'll gain experience in working both independently and collaboratively in teams, as well as communicating professionally in oral and written form for diverse purposes and audiences.

Ethical considerations

You will have the chance to reflect on social and ethical data science issues, including how these relate to First Nations Australians, giving you a well-rounded understanding of the ethical implications of data science.

Real-world learning

This course is specifically designed to meet industry needs. It combines expertise in statistics, computer science, and business process management to provide real-world learning opportunities. 

Gain experience applying your analytical skills to complex problem domains and applying high-order thinking strategies within data-rich contexts through synthesising multiple sources of information. 

Explore this course

What to expect.

This course will prepare you for a future-focused career in the fast-paced, ever-changing world of data analytics. Its collaborative curriculum across disciplines will teach theories and methods and allow you to apply that knowledge to predict, forecast, visualise, and make decisions in various applied areas. 

You'll be introduced to the foundations of data science and analytics and have the opportunity to further your knowledge in additional fields such as statistics for data science, machine learning, programming, rapid web development, and data analytics for strategic decision makers.

Careers and outcomes

After completing the program, you will have the professional skills to apply data science in a wide range of industries. This certificate can serve as a stepping stone to the  Master of Data Science , where you can focus on data analytics, data systems development, or data-driven decision-making.

Possible careers

• Data analyst
• Data scientist
• Data systems developer
• Data-driven decision maker

Details and units

Course structure, requirements, entry requirements.

You must have one of:

• A recognised bachelor degree (or higher qualification) in any discipline; or
• A recognised diploma (or higher qualification) in any discipline followed by at least two years full-time (or equivalent) professional work experience in the fields of biomedicine, information technology, or mathematics; or
• At least five years full-time (or equivalent) professional work experience in the fields of biomedicine, information technology, or mathematics.

Minimum academic requirements

Entry requirement.

You must have a recognised bachelor degree (or higher qualification) in any discipline.

Minimum English language requirements

Select the country where you completed your studies to see a guide on meeting QUT’s English language requirements.

Your scores and prior qualifications in English-speaking countries are considered. Approved English-speaking countries are Australia, Canada, England, Ireland, New Zealand, Scotland, United States of America and Wales.

If your country or qualification is not listed, you can still apply for this course and we will assess your eligibility.

UTS (University of Technology Sydney) Insearch - Academic English

English program.

Academic English 5 (AE5) program with a final overall grade of PASS or higher completed within one year of starting at QUT.

Bachelor studies

Higher education.

A completed bachelor degree (or higher) with a minimum of 1 year full-time studies with a passing grade point average from RMIT Vietnam, completed within five years of starting at QUT.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from RMIT Vietnam, completed within two years of starting at QUT.

Bachelor or Higher

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised English institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time on-campus studies) with a passing grade point average from a recognised English institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in a non-English Speaking country.

Bachelor degree or higher with an overall passing grade point average from a recognised Australian institution (the duration of studies must be 1 year or more full-time, studied on-campus), with all prior schooling/studies in an approved English speaking country. <br> <br>Bachelor degree or higher with an overall passing grade point average from a recognised Australian institution (the duration of studies must be 1 year or more full-time, studied on-campus). These studies must have been completed within five years of starting at QUT where prior schooling/studies were studied in a non- English Speaking country.

QUT University Certificate in Tertiary Preparation (UCTP) (QC06)

Achieve passing grades in QCD111 Communication 1, QCD211 Communication 2 and QCS300 Introduction to the Language of Research; and obtain an overall grade average of 4 out of 7 or higher across these units.

QUT English for Academic Purposes (EAP)

QC36 English for Academic Purposes (EAP) 2 Standard or QC37 English for Academic Purposes (EAP) 2 Extended with 65% completed within one year of starting this course at QUT.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised South African institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time oncampus studies) with a passing grade point average from a recognised South African institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in a non-English Speaking country.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised German institution, with all prior schooling/studies in Germany.

DAAD English Language Certificate

B2 (4 star in all bands) within five years of starting at QUT.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Swedish institution, with all prior schooling/studies in Sweden.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Norwegian institution, with all prior schooling/studies in Norway.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Danish institution, with all prior schooling/studies in Denmark. Diploma Supplement or an official letter from home institution stating English as the language of instruction.

Bachelor or higher degree from a recognised Indian institution completed within five years of starting at QUT, and 65% in the High School English Core subject awarded by CISCE or CBSE.

Bachelor or higher degree (minimum of 1 year full-time on-campus studies) at a recognised Hong Kong institution with: <br>a passing grade point average and these studies must have been completed within five years of starting at QUT; and<br>an official language of instruction letter is required if the academic transcripts doesn't clearly state English is the Language of Instruction; and<br>evidence of minimum HKDSE Level 2 overall in English Language.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised institution in Netherlands completed within five years of starting at QUT, with all prior schooling/studies in Netherlands. Diploma Supplement or an official letter from home institution stating English as the language of instruction.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Finnish institution completed within five years of starting at QUT, and a pass in English subject from Finnish High School. Diploma Supplement or an official letter from home institution stating English as the language of instruction.

Bachelor or higher

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average at a recognised USA institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time oncampus studies) with a passing grade point average at a recognised USA institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in a non-English Speaking country.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average at a recognised Singapore institution, with all prior schooling/studies in Singapore.<br> <br>Bachelor or higher degree (minimum of 1 year full-time on-campus studies) with a passing grade point average at a recognised Singapore institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in a non-English Speaking country.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Canadian institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time on-campus studies) with a passing grade point average from a recognised Canadian institution. These studies must have been completed within five years of starting at QUT, if all prior schooling/studies were studied in a non- English Speaking country.

Bachelor or higher degree (minimum volume of 2 year full time oncampus studies) at a recognised Malaysian institution with<br>a passing grade point average and these studies must have been completed within five years of commencement at QUT; and<br>an official language of instruction letter is required if the academic transcripts doesn't clearly state English is the Language of Instruction; and<br>evidence of a pass in the English subject in a recongised high school qualification: SPM, STPM, UEC, A levels and O levels or equivalent.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Irish institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time oncampus studies) with a passing grade point average from a recognised Irish institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in non-English Speaking country.

Bachelor degree with a minimum course GPA of 3.0 on a 4 point scale from one of the following universities completed within five years of starting at QUT:<br>Assumption University<br>Thammasat University<br>Chulalongkorn University<br>Mahidol University<br> <br>You must provide a letter from the institution confirming that English was the language of instruction.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised Iceland institution completed within five years of starting at QUT, and a pass in the English subject from Studentsprof. Diploma Supplement or an official letter from home institution stating English as the language of instruction.

Bachelor degree or higher with an overall passing grade point average from a recognised Papua New Guinean institution (the duration of studies must be 1 year or more full-time, studied on-campus) within the last five years.

Bachelor or higher degree (minimum of 1 year full-time studies) with a passing grade point average from a recognised New Zealand institution, with all prior schooling/studies in an approved English speaking country.<br> <br>Bachelor or higher degree (minimum of 1 year full-time on-campus studies) with a passing grade point average from a recognised New Zealand institution. These studies must have been completed within five years of starting at QUT, if prior schooling/studies were studied in non-English Speaking country.

We accept English language proficiency scores from the following tests undertaken in a secure test centre. Tests must be taken no more than 2 years prior to the QUT course commencement.

Don't have the English language score you need? We can help!

We offer English language programs to improve your English and help you gain entry to this course.

When you apply for this course, we will recommend which English course you should enrol in.

Your actual fees may vary depending on which units you choose. We review fees annually, and they may be subject to increases.

2024: CSP $4,200 per year full-time (48 credit points)

2024: $19,100 per year full-time (48 credit points)

Student services and amenities fees

You may need to pay student services and amenities (SA) fees as part of your course costs.

Find out more about postgraduate course fees

HECS-HELP: loans to help you pay for your course fees

You may not have to pay anything upfront if you're eligible for a HECS-HELP loan.

Find out more about government loans

Scholarships

You can apply for scholarships to help you with study and living costs.

Browse all scholarships

International Merit Scholarship

Qut real world international scholarship.

A scholarship to cover tuition fees, with eligibility based on your prior academic achievements.

You may also be eligible for

Centrelink payments

Other courses you might be interested in

Graduate certificate in business process management.

• 6 months full-time
• 1 year part-time

Graduate Certificate in Information Technology

• 12 months part-time

Graduate Diploma in Information Technology

• 6 - 12 months full-time
• 1 - 2 years part-time

Master of Information Technology

• 2 years full-time
• 4 years part-time
• 1.5 - 2 years full-time

Doctor of Philosophy

• 3 - 4 years full-time
• 4 years full-time
• Kelvin Grove

Graduate Certificate in Data Analytics

Master of data analytics.

• 1 - 2 years full-time
• 2 - 4 years part-time

Master of Philosophy

Bachelor of biomedical science/master of data analytics.

• 80.00 is the ATAR/selection rank threshold for Bachelor of Biomedical Science/Master of Data Analytics

Bachelor of Business/Bachelor of Data Science

• 8 years part-time
• 84.00 is the ATAR/selection rank threshold for Bachelor of Business/Bachelor of Data Science

Bachelor of Business/Master of Data Analytics

• 80.00 is the ATAR/selection rank threshold for Bachelor of Business/Master of Data Analytics

Bachelor of Creative Industries/Bachelor of Human Services

• 70.00 is the ATAR/selection rank threshold for Bachelor of Creative Industries/Bachelor of Human Services

Bachelor of Data Science

• 3 years full-time
• 6 years part-time
• 84.00 is the ATAR/selection rank threshold for Bachelor of Data Science

Bachelor of Data Science/Bachelor of Laws (Honours)

• 5.5 years full-time
• 84.00 is the ATAR/selection rank threshold for Bachelor of Data Science/Bachelor of Laws (Honours)

Bachelor of Data Science/Bachelor of Property Economics

• 84.00 is the ATAR/selection rank threshold for Bachelor of Data Science/Bachelor of Property Economics

Bachelor of Engineering (Honours)/Master of Data Analytics

• 5 years full-time
• 90.00 is the ATAR/selection rank threshold for Bachelor of Engineering (Honours)/Master of Data Analytics

Bachelor of Information Technology/Master of Data Analytics

• 80.00 is the ATAR/selection rank threshold for Bachelor of Information Technology/Master of Data Analytics

Bachelor of Mathematics (Statistics)

• 84.00 is the ATAR/selection rank threshold for Bachelor of Mathematics (Statistics)

Bachelor of Mathematics/Master of Data Analytics

• 84.00 is the ATAR/selection rank threshold for Bachelor of Mathematics/Master of Data Analytics

Bachelor of Science/Bachelor of Data Science

• 84.00 is the ATAR/selection rank threshold for Bachelor of Science/Bachelor of Data Science

How to apply

Follow our step-by-step applying guide to make sure your application is complete, giving you the best chance of getting in.

Ready to apply?

If you're ready for the next step, apply online today.

If you're ready for the next step, apply online today or contact our MBA Program Manager +61 468 575 146 or [email protected]

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