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PhD | Program Requirements

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On average, the program is completed in five to six years, depending on the student’s research and progress. First-year students have the opportunity to rotate in three different labs before selecting their advisor. 

The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. This includes a cumulative list of requirements to be completed in order for students to confer their PhD degree in Computer Science.

For any questions related to CS PhD milestone requirements, please email  [email protected]

Form/s should be submitted as a PDF and emailed to  [email protected] .  Jay Subramanian, Director of Graduation Admissions and PhD Program, approves all forms on behalf of the Department chair. The CS PhD Student Services Team will collect her signature after you submit your form/s.

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Note : A student may go to TGR status after all the Ph.D. requirements above have been completed, and just their orals and dissertation submission remain, see Special Registration Statuses page.

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Computer Science

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Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select “Engineering and Applied Sciences” as your program choice and select "PhD Computer Science" in the Area of Study menu.

In the Computer Science program, you will learn both the fundamentals of computation and computation’s interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, and visualization.

You will be involved with researchers in several interdisciplinary initiatives across the University, such as the Center for Research on Computation and Society, the Institute for Applied Computational Science, the Data Science Initiative, and the Berkman Klein Center for Internet and Society.

Examples of projects current and past students have worked on include leveraging machine learning to solve real-world sequential decision-making problems and using artificial intelligence to help conservation and anti-poaching efforts around the world.

Graduates of the program have gone on to a range of careers in industry in companies like Riot Games as game directors and lead scientists at Raytheon. Others have positions in academia at University of Pittsburgh, Columbia, and Stony Brook.

Standardized Tests

GRE General:  Not Accepted

APPLICATION DEADLINE

Questions about the program.

Computer Science, PhD

Computer science phd degree.

In the Computer Science program, you will learn both the fundamentals of computation and computation’s interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, and visualization.

You will be involved with researchers in several interdisciplinary initiatives across the University, such as the Center for Research on Computation and Society , the Data Science Initiative , and the Berkman Klein Center for Internet and Society .

Examples of projects current and past students have worked on include leveraging machine learning to solve real-world sequential decision-making problems and using artificial intelligence to help conservation and anti-poaching efforts around the world.

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Computer Science Degree

Harvard School of Engineering offers a  Doctor of Philosophy (Ph.D) degree in Computer Science , conferred through the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select “Engineering and Applied Sciences” as your program choice and select "PhD Computer Science" in the Area of Study menu.

In addition to the Ph.D. in Computer Science, the Harvard School of Engineering also offers master’s degrees in  Computational Science and Engineering as well as in Data Science which may be of interest to applicants who wish to apply directly to a master’s program.

Computer Science Career Paths

Graduates of the program have gone on to a range of careers in industry in companies like Riot Games as game director and Lead Scientist at Raytheon. Others have positions in academia at University of Pittsburgh, Columbia, and Stony Brook. More generally, common career paths for individuals with a PhD in computer science include: academic researcher/professor, industry leadership roles, industry research scientist, data scientist, entrepreneur/startup founder, product developer, and more.

Admissions & Academic Requirements

Prospective students apply through the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Harvard Griffin GSAS). In the online application, select  “Engineering and Applied Sciences” as your program choice and select "PhD Engineering Sciences: Electrical Engineering​." Please review the  admissions requirements and other information  before applying. Our website also provides  admissions guidance ,  program-specific requirements , and a  PhD program academic timeline . In the application for admission, select “Engineering and Applied Sciences” as your degree program choice and your degree and area of interest from the “Area of Study“ drop-down. PhD applicants must complete the Supplemental SEAS Application Form as part of the online application process.

Academic Background

Applicants typically have bachelor’s degrees in the natural sciences, mathematics, computer science, or engineering.

Standardized Tests

GRE General: Not Accepted

Computer Science Faculty & Research Areas

View a list of our computer science faculty  and  computer science affiliated research areas . Please note that faculty members listed as “Affiliates" or "Lecturers" cannot serve as the primary research advisor.

Computer Science Centers & Initiatives

View a list of the research centers & initiatives  at SEAS and the computer science faculty engagement with these entities .

Graduate Student Clubs

Graduate student clubs and organizations bring students together to share topics of mutual interest. These clubs often serve as an important adjunct to course work by sponsoring social events and lectures. Graduate student clubs are supported by the Harvard Kenneth C. Griffin School of Arts and Sciences. Explore the list of active clubs and organizations .

Funding and Scholarship

Learn more about financial support for PhD students.

  • How to Apply

Learn more about how to apply  or review frequently asked questions for prospective graduate students.

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Doctoral Degree in Computer Science

Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion.

When you begin our Ph.D. program, you’ll take the Introductory Course for Doctoral Students — an intense two week program that orients you to the department, introduces you to research and education topics our faculty are interested in, helps you find a faculty advisor and familiarizes you with Carnegie Mellon’s resources. Next, you’ll gain a broad understanding of fundamental research issues in major areas of computer science through coursework and original research. Finally, you’ll write and orally defend a thesis that guarantees you understand the area well enough to advance the state of knowledge in the field.

During the first two years of the program, you’ll gain the foundation of knowledge that will allow you to become an expert researcher in computer science, primarily by

Mastering a body of graduate material, achieved by passing 96 university units worth of graduate courses (equivalent to eight full-time courses).

Learning how to organize and begin to carry out original research, achieved by participating in directed research.

You will also serve as a teaching assistant, hone your writing and speaking skills and maintain your programming prowess. You’ll also receive periodic evaluation of your progress, and must make satisfactory progress to continue in the program.

Time Commitment:

As a Ph.D. student in computer science at CMU, you'll spend roughly five years acquiring a body of technical knowledge that includes a familiarity with the breadth of the field, as well as a deep understanding of your research area. From your second month in the program, you'll work closely with your faculty advisor, who is charged with guiding your education and monitoring your progress through the program. You'll take courses, teach and perform directed research — all to ensure that you leave Carnegie Mellon as an expert in your field. For a complete breakdown of our program requirements, read our Ph.D. Handbook .

Financial Information:

The Computer Science Department offers all Ph.D. students full financial support while they are in good academic standing in their respective programs. To learn more about Ph.D. funding, visit the SCS  Doctoral Programs  webpage.

Graduate Tuition: https://www.cmu.edu/sfs/tuition/graduate/scs.html

Student Fees: https://www.cmu.edu/sfs/tuition/fees/index.html

Carnegie Mellon Graduate Student Financial Aid: https://www.cmu.edu/sfs/financial-aid/graduate/index.html

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Computer Science Ph.D. Program

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The Cornell Ph.D. program in computer science is consistently ranked among the top six departments in the country, with world-class research covering all of computer science. Our computer science program is distinguished by the excellence of the faculty, by a long tradition of pioneering research, and by the breadth of its Ph.D. program. Faculty and Ph.D. students are located both in Ithaca and in New York City at the Cornell Tech campus . The Field of Computer Science also includes faculty members from other departments (Electrical Engineering, Information Science, Applied Math, Mathematics, Operations Research and Industrial Engineering, Mechanical and Aerospace Engineering, Computational Biology, and Architecture) who can supervise a student's Ph.D. thesis research in computer science.

Over the past years we've increased our strength in areas such as artificial intelligence, computer graphics, systems, security, machine learning, and digital libraries, while maintaining our depth in traditional areas such as theory, programming languages and scientific computing.  You can find out more about our research here . 

The department provides an exceptionally open and friendly atmosphere that encourages the sharing of ideas across all areas. 

Cornell is located in the heart of the Finger Lakes region. This beautiful area provides many opportunities for recreational activities such as sailing, windsurfing, canoeing, kayaking, both downhill and cross-country skiing, ice skating, rock climbing, hiking, camping, and brewery/cider/wine-tasting. In fact, Cornell offers courses in all of these activities.

The Cornell Tech campus in New York City is located on Roosevelt Island.  Cornell Tech  is a graduate school conceived and implemented expressly to integrate the study of technology with business, law, and design. There are now over a half-dozen masters programs on offer as well as doctoral studies.

FAQ with more information about the two campuses .

Ph.D. Program Structure

Each year, about 30-40 new Ph.D. students join the department. During the first two semesters, students become familiar with the faculty members and their areas of research by taking graduate courses, attending research seminars, and participating in research projects. By the end of the first year, each student selects a specific area and forms a committee based on the student's research interests. This “Special Committee” of three or more faculty members will guide the student through to a Ph.D. dissertation. Ph.D. students that decide to work with a faculty member based at Cornell Tech typically move to New York City after a year in Ithaca.

The Field believes that certain areas are so fundamental to Computer Science that all students should be competent in them. Ph.D. candidates are expected to demonstrate competency in four areas of computer science at the high undergraduate level: theory, programming languages, systems, and artificial intelligence.

Each student then focuses on a specific topic of research and begins a preliminary investigation of that topic. The initial results are presented during a comprehensive oral evaluation, which is administered by the members of the student's Special Committee. The objective of this examination, usually taken in the third year, is to evaluate a student's ability to undertake original research at the Ph.D. level.

The final oral examination, a public defense of the dissertation, is taken before the Special Committee.

To encourage students to explore areas other than Computer Science, the department requires that students complete an outside minor. Cornell offers almost 90 fields from which a minor can be chosen. Some students elect to minor in related fields such as Applied Mathematics, Information Science, Electrical Engineering, or Operations Research. Others use this opportunity to pursue interests as diverse as Music, Theater, Psychology, Women's Studies, Philosophy, and Finance.

The computer science Ph.D. program complies with the requirements of the Cornell Graduate School , which include requirements on residency, minimum grades, examinations, and dissertation.

The Department also administers a very small 2-year Master of Science program (with thesis). Students in this program serve as teaching assistants and receive full tuition plus a stipend for their services.

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  • Where To Earn A Ph.D. In Computer Science Online

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

Doug Wintemute

Published: Mar 27, 2024, 3:00pm

As our reliance on technology grows, so does our need for advanced computer professionals and educators. Despite the number of conferred graduate degrees in computer and information sciences nearly tripling between the 2010–11 and 2020–21 academic years, tech fields are facing a widening skills gap.

While many schools nationwide have developed computer science doctoral programs to help meet professional demand, online Ph.D. in computer science programs are still quite rare. Most schools only offer in-person programs, meaning students who need to work while they study have limited options.

In this guide, we showcase the two online doctorates in computer science that met our ranking criteria. We also explore factors you should consider when choosing a program.

Why You Can Trust Forbes Advisor Education

Forbes Advisor’s education editors are committed to producing unbiased rankings and informative articles covering online colleges, tech bootcamps and career paths. Our ranking methodologies use data from the National Center for Education Statistics , education providers, and reputable educational and professional organizations. An advisory board of educators and other subject matter experts reviews and verifies our content to bring you trustworthy, up-to-date information. Advertisers do not influence our rankings or editorial content.

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Online ph.d. in computer science options, how to find the right online ph.d. in computer science for you, should you enroll in an online computer science ph.d. program, accreditation for online computer science ph.d. programs, frequently asked questions (faqs) about earning an online ph.d. in computer science, capitol technology university, national university, featured online schools.

Learn about start dates, transferring credits, availability of financial credit and much more by clicking 'Visit Site'

Capitol Technology University

Maryland-based Capitol Technology University , which neighbors Washington, D.C., offers 41 online doctoral programs, including an online Ph.D. in computer science. Students learn to evaluate and think critically about computer science issues, actions and perspectives.

The degree typically takes two to three years to complete. Students can choose between a dissertation defense track or a publication track. The publication option requires Ph.D. candidates to publish three peer-reviewed articles. Both tracks feature entirely online and asynchronous coursework with no residency requirements.

Capitol Tech’s online doctoral courses cost $950 per credit, regardless of state residency. Active military service members receive a $100 discount per credit, while retired military service members receive a $50 discount. Learners pay an information technology fee of $40 per credit.

  • School Type: Private
  • Application Fee: $100
  • Degree Credit Requirements: 60 credits
  • Program Enrollment Options: Full-time
  • Notable Major-Specific Courses: Computer science future demands, computer science research background
  • Concentrations Available: N/A
  • In-Person Requirements: No

National University

Founded in 1971, National University (NU) offers more than 190 online programs. Students enrolled in the online Ph.D. in computer science choose their research topic and method, picking between quantitative, qualitative and constructive research. Learners also complete replication studies and develop portfolios.

With weekly start dates, the online Ph.D. takes just over three years to complete. Except for 12-week dissertation courses, virtual classes last eight weeks. Instructors may deliver classes asynchronously or synchronously. Despite the school’s location in San Diego, California, NU charges all online learners the same tuition. The Ph.D. costs an estimated $58,560.

  • Application Fee: Free
  • Notable Major-Specific Courses: Data curation, artificial intelligence

Consider Your Future Goals

Your postgraduate goals should play a central role in your school and program decisions. Knowing what type of career and specialization you want can help you choose the right online doctorate in computer science.

For example, you might enroll in a research-based program if you plan on teaching, while a practice-based program may suit you if you aspire to take on an advanced computer science role .

You can also compare how well each school and program supports your plans. Check each degree’s curriculum, faculty, and mentorship and partnership opportunities to identify how it can help you meet your long-term goals.

Understand Your Expenses and Financing Options

The high cost of a graduate degree can make postsecondary education seem out of reach for many. Total tuition for the programs on this list costs $57,000 at Capital Tech and around $59,000 at NU—that’s a hefty financial investment.

However, you may have financial aid available to you. By completing the Free Application for Federal Student Aid (FAFSA®), you can qualify for various federal grants, scholarships and work-study programs. Other aid providers may use FAFSA data to determine their awards as well. Some schools, including Capitol Tech, also offer tuition discounts to veterans and active service members.

For many students, online degrees make graduate school more accessible thanks to flexible scheduling and reduced travel demands. But the online learning experience differs from on-campus programs, and earning a Ph.D. in computer science online might not work for everyone.

Both online programs on this page feature asynchronous courses, allowing you to study on your own time. However, this also requires more independence, time management and organization. You might also find the environment to be less structured and interactive.

If you thrive in a more traditional classroom experience, synchronous online classes or a hybrid program might fit your needs better.

Accreditation ensures your school or program has undergone a rigorous evaluation process. Your university’s institutional accreditation status can affect your eligibility for financial aid, transfer credits, professional credentials and employment.

Check that your college is accredited by an organization approved by the U.S. Department of Education or the Council for Higher Education Accreditation (CHEA). You can confirm any school’s accreditation status through CHEA’s directories .

Programmatic accreditation provides quality assurance for specific degree programs and departments within universities. ABET accredits computer science degrees , but it does not provide accreditation for doctoral programs.

Our Methodology

We ranked two accredited, nonprofit colleges offering online computer science Ph.D. programs in the U.S. using 14 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
  • Portion 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 and 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 .

Can I get a Ph.D. in computer science online?

Several schools offer a fully remote or hybrid Ph.D. in computer science. Online degrees typically feature the same content as their in-person counterparts and award the same academic credentials; in many cases, they differ only in delivery format.

Can you get a Ph.D. virtually?

Yes, fully online Ph.D.s in computer science allow you to complete your coursework, perform research, watch seminars and attend meetings virtually. However, your program may feature fieldwork requirements that must be completed in person.

Is it worth getting a Ph.D. in computer science?

A Ph.D. in computer science can prove beneficial for many people, including those who want to work in a postsecondary teaching or research position. Doctorates in computer science can also help professionals advance their careers and take on influential positions in the industry.

How long is a Ph.D. in CS?

The length of your Ph.D. in computer science depends on the program, your previous education and your course load. The programs on this list take about three years to complete, but many others take four to five years.

Doug Wintemute

For nearly a decade, Doug Wintemute has specialized in helping students and professionals make sound education and career decisions. In addition to Forbes Advisor, his work has been featured on many online publications, including ZDNet, Bankrate and NurseJournal.

can you do a phd in computer science

Doctoral Program

The primary focus of the doctoral program is research, with the philosophy that students learn best by doing—beginning as apprentices and becoming junior colleagues working with faculty on scholarly research projects. The faculty in the department conduct research in all areas of computer science. The doctoral degree requires a dissertation based on the candidate’s original research, which is supervised by a faculty member, and all students in the doctioral program are actively engaged in research throughout the program.

The PhD is the Computer Science Department’s primary doctoral program.  PhD students are expected to be full-time on-campus during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university.  PhD students spend at least half of their time on research under the direction of their faculty adviser from their first day in the program and devote themselves full time to research after coursework and other preliminaries have been completed. PhD students are also expected to participate in departmental and laboratory activities full time throughout the program, except possibly for summer internships elsewhere, and the department does not consider admission of part-time PhD students. The policy on outside activities by PhD students is here .

DEPARTMENTAL INFORMATION FOR DOCTORAL STUDENTS

  • Program Requirements
  • MS leading to PhD
  • Milestones Chart
  • Milestones Registration Form: Candidacy, Thesis Proposal, Thesis Defense
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  • Doctoral Algorithms Prerequisite Form
  • Data Science Specialization Option  (further details here )

SCHOOL/UNIVERSITY INFORMATION FOR DOCTORAL STUDENTS

  • Registration
  • SEAS Doctoral Fieldwork (CPT) Policy
  • Time-Off Policy for Doctoral Students on Appointment in the Sciences and Related Research Fields

GENERAL DOCTORAL INFORMATION AND ADVICE

  • CAREER Club
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  • More advice on writing
  • Corporate Lab or Academic Department, Which Fits?
  • How To Survive A Thesis Defense
  • 10 easy ways to fail a PhD
  • Dealing with plagiarism
  • Academic job site
  • Computing Research Association
  • IEEE Computer Society

(link suggestions appreciated; send email to [email protected] )

Last updated on July 11, 2024.

Find open faculty positions here .

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President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

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Department of Computer Science | School of Engineering & Applied Science

The Ph.D. in Computer Science aims to build the next generation of scholars in computer science research. At GW, doctoral students can expect to work closely with a faculty advisor in their chosen research area to create a curriculum plan and guidance for the doctoral dissertation. Students have the opportunities to teach introductory-level courses to undergraduates, present conference papers, and work with faculty on research grant applications.

With its unique location of Washington, D.C., GW maintains access and connections to one of the highest concentrations of tech companies in the country, as well as research-granting federal institutes, including the National Institutes of Health (NIH), NASA , National Institute of Standards and Technology and the Naval Research Laboratory . 

For Prospective Students:

Admissions requirements.

  • If an applicant has obtained a master’s degree, a minimum grade point average of 3.5 (on a scale of 4.0) is required.
  • If an applicant has only obtained a bachelor’s degree, the minimum grade point average must be a 3.3 (on a scale of 4.0).
  • Completion of two math courses beyond pre-calculus.
  • Strong academic background that includes courses in structured programming language, discrete structures and data structures.
  • Successful submission of online application form, exam scores and other documents as outlined in the admissions requirements .

Faculty Advisor & Research Area

We strongly recommend that prospective doctoral students determine a faculty member in the department with whom they would like to work, as well as the research area of interest.

Top research areas of the department:

  • Algorithms and theory
  • Computer architecture, networks, parallel and distributed computing
  • Computer security and information assurance
  • Database and information retrieval systems
  • Machine intelligence and cognition
  • Multimedia, animation, graphics and user interface
  • Software engineering and systems

Download Faculty & Research Factsheet (PDF)

For Current Students: 

The general requirements are stated under School of Engineering, Doctoral Program Regulations . 

Program Requirements

Relevant Forms

  • Preliminary examination form
  • Proposal defense report form
  • Final examination approval form
  • Dissertation completion form
  • Additional forms and resources from SEAS

PhD Course Guidelines:

PhD students must work with their advisors to develop a program of study that meets the following requirements.

  • For direct Ph.D. degree students: 54 credit hours (minimum of 42 credit hours of course work available for graduate credit and minimum of 12 credit hours of dissertation research credits (CSCI 8999)) are required. Additionally, a student should continue to enroll in Continuing Research - Doctoral (SEAS 0940) until their dissertation is completed.
  • For post-Master’s Ph.D. students: 18 credit hours of course work available for graduate credit and 12 credit hours of dissertation research credits (CSCI 8999) are required. Additionally, a student should continue to enroll in Continuing Research - Doctoral  (SEAS 0940) until their dissertation is completed. 
  • A maximum of 15 credits outside of the department for direct Ph.D. students; a maximum of 9 credits outside of the department for post-Master’s Ph.D. students.
  • Algorithms and theory;
  • Software and systems
  • See details in the Preliminary Examination section below. 

Preliminary Examination

Failure of full-time students to pass the preliminary examination by the end of the fourth semester will lead to dismissal from the program.

Students who register for 6 credits or fewer in three consecutive semesters are part-time. Part-time students are required to pass the preliminary examination within their first three years, or 30 credits, of enrollment in the PhD program. Failure to do so will result in dismissal from the program.

To demonstrate competency, students may take one course in each of the following areas:

  • Algorithms and theory: CSCI 6212 Design and Analysis of Algorithms or CSCI 6311 Theory of Computation
  • Software and systems: CSCI 6221 Advanced Software Paradigms, or CSCI 6431 Computer Networks, or CSCI 6461 Computer System Architecture

Competency is demonstrated in one of two ways:

  • By completing the course with a minimum grade of A-; or,
  • By taking only the written, in-class examinations in the course. With this option, students must pass all exams given during a semester, earning a minimum grade of A- in each. 

Students who prove, via their official transcript, that they earned the requisite grades as part of their master’s degree may apply that result to the preliminary exam requirement. 

Students must submit a Preliminary Examination Form to the Department of Computer Science after completing the requirements for the preliminary exam. 

Publication Requirements

Students must have at least one peer-reviewed conference or journal paper accepted for publication at the time of the dissertation defense.

As a guideline, students are expected to have at least two or three conference or journal papers accepted for publication by the time of their dissertation defense, and the material from those papers should be the core of the dissertation.

Dissertation

Dissertation advisor and co-advisor(s).

Every PhD dissertation must be supervised by a faculty advisor who must be (1) a regular full-time faculty member of GW with a primary or secondary appointment in the CS Department, or (2) a research faculty member of the CS Department. Besides the dissertation advisor, a PhD student may have one or more co-advisor(s), who may be full-time or part-time faculty at GW, or professionals from outside the university. Co-advisors are expected to hold a terminal degree.

Forming a dissertation committee

  • The dissertation committee must consist of at least three members, including the major advisor. Additional advisor(s) and co-advisors are optional and additional to the three members.
  • The committee must have a presiding chair who is a regular full-time faculty member whose primary appointment is in the Department of Computer Science. The committee chair may not be the student's research advisor or co-advisor.
  • Faculty with secondary appointments in the Department of Computer Science are not considered regular full-time faculty members in the Department.
  • At least one member of the committee must be an external reviewer. The external reviewer must hold a doctoral degree. They may not be a research advisor or co-advisor of the student. They should have a primary appointment in another GW department or outside the University.
  • The dissertation committee must be approved by the Chair of the Department of Computer Science.
  • The committee membership is normally the same for the dissertation proposal examination and the dissertation defense. However, the membership may change with the approval of the advisor and department chair.

Dissertation proposal defense

  • The defense may not take place before the student has passed the preliminary examination.
  • The student’s advisor must approve the scheduling of the dissertation proposal defense.
  • The student submits a written proposal, in the style of a dissertation, to the members of the dissertation committee. The proposal should contain preliminary results.
  • The dissertation committee evaluates the proposal and conduct an oral examination of the student. The committee conveys its recommendation of pass/fail to the Department of Computer Science.
  • A proposal defense report should be filed.  

Dissertation defense

  • The dissertation defense may not be scheduled before the student has passed the dissertation proposal defense.
  • The student’s advisor must approve the scheduling of the dissertation defense.
  • The student submits a written dissertation to the members of the dissertation committee, normally two or more weeks in advance of the defense. The writing should follow the dissertation writing guidelines .
  • The committee evaluates the dissertation and conducts an oral examination of the student. The committee conveys its recommendation to pass or fail to the Department of Computer Science.
  • The final examination approval form and the dissertation completion form should be filed.

University Graduation and Scholarship Requirements

Students are responsible for knowing the University’s graduation and scholarships requirements. Consult the University Regulations section of this Bulletin. Students should consult the department for additional information and requirements.

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Phd program, find your passion for research.

Duke Computer Science gives incoming students an opportunity to investigate a range of topics, research problems, and research groups before committing to an advisor in the first year. Funding from the department and Duke makes it possible to attend group meetings, seminars, classes and colloquia. Students may work on multiple problems simultaneously while finding the topic that will motivate them through their first project. Sharing this time of learning and investigation with others in the cohort helps create lasting collaborators and friends.

Write a research proposal the first year and finish the research the second under the supervision of the chosen advisor and committee; present the research results to the committee and peers. Many students turn their RIP work into a conference paper and travel to present it.

Course work requirements are written to support the department's research philosophy. Pass up to four of the required six courses in the first two years to give time and space for immersing oneself in the chosen area.

Years three through five continue as the students go deeper and deeper into a research area and their intellectual community broadens to include collaborators from around the world. Starting in year three, the advisor funds the student's work, usually through research grants. The Preliminary exam that year is the opportunity for the student to present their research to date, to share work done by others on the topic, and to get feedback and direction for the Ph.D. from the committee, other faculty, and peers.

Most Ph.D students defend in years five and six. While Duke and the department guarantee funding through the fifth year, advisors and the department work with students to continue support for work that takes longer.

Teaching is a vital part of the Ph.D. experience. Students are required to TA for two semesters, although faculty are ready to work with students who want more involvement. The Graduate School's Certificate in College Teaching offers coursework, peer review, and evaluation of a teaching portfolio for those who want to teach. In addition, the Department awards a Certificates of Distinction in Teaching for graduating PhD students who have demonstrated excellence in and commitment to teaching and mentoring.

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can you do a phd in computer science

Online PhD in Computer Science Guide | Salary & Requirements 2024

Phd in computer science overview.

The field of computer science has seen exponential growth in the last decade as web-based apps and media platforms continue to grow. An online Doctor of Philosophy (PhD) degree in Computer Science prepares graduates for some of the highest-paying positions in the nation with technology firms of varying sizes.  

As industries continue to adopt digital technologies, the demand for graduates with postsecondary degrees in the field of computer science remains steady. Businesses like Google and Microsoft continue to hire web developers, coders, and other computer science specialists to manage their web-based platforms/services. 

What Is Computer Science?

As a computer science professional, your job is to: 

  • Observe, listen to, and communicate with clients
  • Python, HTML, Java, C++ and more
  • Offer strategies to ensure the functionality of web-based platforms
  • Collaborate with UX specialists to ensure website functionality 

Depending on the industry or client, computer science specialists may work in-house or be contracted externally. 

What Can I Do With An Online PhD in Computer Science?

There are many viable career options for professionals with an online PhD in Computer Science. At tech corporations, start-ups, and in higher education, computer science professionals:

  • Develop software
  • Maintain data systems 
  • Teach students coding theory
  • Complete programmatic updates
  • Maintain server security

Professionals with an online PhD in Computer Science provide in-demand services that continue to increase in value as countless entities adopt web-based platforms for business and internal use. 

Others who graduate with a PhD in Computer Science end up working in academia as a PhD satisfies minimum requirements for many colleges and universities. 

PhD in Computer Science Salaries and Career Outlook

Graduates with a PhD in Computer Science may pursue careers as:

  • College Professors
  • Computer Science Specialists
  • Database Managers
  • Research & Development 

Job growth in the computer science career field can vary depending on the position, and graduates should note that these statistics are reflections of the current job market that can fluctuate over time. 

Computer Science PhD Career Paths 

  • Median Salary: $85,540 
  • Career Outlook: +7% (2020-2030)

Professors that teach computer science at the university level conduct courses in coding, software design, and database management.

  • Median Salary: $126,830 
  • Career Outlook: +22% (2020-2030)

Professionals in this field to develop new software and improve on existing platforms to improve user experience and efficiency.

  • Median Salary: $116,780 
  • Career Outlook: +5% (2020-2030)

Network architects help organizations manage their local-area networks and wide-area networks.

  • Median Salary: $110,140 

Software developers create computer programs/applications and work closely with UX specialists to provide iterative updates that address bugs/create efficiencies. 

Source: BLS

Earning A PhD in Computer Science

An online PhD in Computer Science typically takes between 4-5 years to complete. It’s always smart to research in-person and online formats to find the program that fits your schedule. 

Aspiring PhD students should consider admissions requirements, areas of specialization, and cost to ensure the program they choose fits their goals and lifestyle.

Pros And Cons Of PhD in Computer Science

Time, cost, and job placement are important factors to review when looking for a PhD program. Compared to a master’s degree in computer science, a PhD in Computer Science allows graduate students to gain access to higher-paying, upper-level positions in the tech and academic fields.

Due to the flexibility offered with an online program, doctoral students have the opportunity to complete their degree with sometimes little to no impact on their current day job.

Coursework In PhD in Computer Science Programs

Most classes included in computer science programs align with industry standards. Classes like Computer Languages, and Database Design, and Machine Learning provide students with a wide range of knowledge and skills to help them operate in a variety of roles post-graduation. 

Courses often include topics like data management, robotics, artificial intelligence, and software development. As a prerequisite to many of these classes, general knowledge of computer science and hardware can help students prepare for PhD-level coursework. 

Computer science graduate programs typically culminate in a research project. 

Skills Learned In PhD in Computer Science

With a PhD in Computer Science, graduates enter the workforce with a wide range of industry-specific skills. These programs build skills such as:

  • Writing and improving code
  • Website generation
  • Advanced software engineering
  • Communication
  • Troubleshooting
  • Operational functionality 
  • Systems maintenance

How Long Does It Take To Get A PhD in Computer Science?

Some PhD programs take four years to complete, while others take up to five years. Most programs usually require 90 credit hours, including electives and the Teaching Assistantship requirement.

Factors that impact the length of a degree program include:

  • Prior education (Master’s in Computer Science preferred)
  • Accelerated course availability
  • Synchronous vs asynchronous learning
  • Part-time vs. full-time course loads

Choosing The Best PhD in Computer Science

There are many ways to earn a PhD in Computer Science. For example, you can choose to study online, in-person, or through a hybrid of both options. You may want to earn additional certifications and licenses, depending on your specialization or field of interest. This section explores the different options available for future computer science students. 

Online vs In-Person Graduate Degrees

Potential computer science PhD applicants have options depending on their current schedule and employment status. Applicants should be aware that there are many online programs to choose from. 

  • Online learning offers flexibility, though on-campus learning can provide additional networking opportunities that may improve the job search post-graduation. 
  • On-campus, students learn interpersonal skills that benefit them in professional settings. 
  • If students choose to study online, this can be a great way to balance a job while completing the doctoral program. 

There is no right option between the two, though most doctoral students likely prefer one option over the other.

10 Best Schools With Degrees in Computer Science

  • Massachusetts Institute of Technology
  • Brown University
  • Cornell University
  • Stanford University
  • Carnegie Mellon University
  • Dartmouth College
  • Columbia University in the City of New York
  • University of Pennsylvania
  • University of California – Berkeley
  • Duke University

If you’re looking for other schools that offer online degrees in computer science, check out the Find Your Perfect “U” tool. You can search over 6,000 colleges and universities with 11 different filters to find the  perfect school for you !

How Long Does It Take To Complete An Online Course? 

Depending on the type of online course, student experiences can vary. If courses are taught synchronously, then students must attend online lectures and labs at set times. Hybrid courses offer a combination of online lectures and in-person lab time, ideal for students looking to acquire skills needed to work post-graduation. 

If a course is taught asynchronously, students can watch lectures and study with flexibility. Alternatively, certificate programs offer accelerated online courses that condense the subject matter into 3-6 week increments. 

Licensure and Certification

Many computer science positions prefer and potentially require applicants to have a license and/or certification (especially for PhD grads). Prospective students should be sure to research their intended job prospects to ensure they acquire the appropriate credentials depending on the region and type of position they may hold. 

Admissions Requirements 

The first step to applying to any program is to check the admissions requirements to confirm the prerequisite experience needed to qualify. Most information technology programs require:

  • Proof of completion of a 4-year  bachelor’s degree  from a regionally accredited institution
  • Minimum GPA requirements – These vary depending on the program
  • Official Transcript
  • GRE test score 
  • Application fee
  • Letter of Intent
  • Letters of recommendation 

It is always a good idea to submit applications to schools with varying rates of acceptance. You should also diversify your application list and include schools with high and low rates of admission.  

Paying For A PhD in Computer Science

The cost of an  online PhD in Computer Science  varies depending on a range of factors. In-state tuition tends to be much cheaper than out-of-state, so be sure to apply to programs locally if cost is a determining factor. 

Online programs can be more cost-effective and accessible than in-person programs, providing applicants with options depending on their prior obligations. Some online programs also extend in-state tuition rates to all students regardless of where they live.

Lastly, colleges, universities, and organizations offer scholarships that are merit or need-based that can help minimize the financial impact of going to school.

Scholarships

There are  many scholarship  options for students in the field of computer science. Here are a few: 

  • Generation Google Scholarship
  • Richard E Merwin Student Scholarship
  • IEEE Presidents Scholarship

Computer Science Career Resources

Online computer science phd faqs.

  • Due to the web-based nature of the IT sector, pursuing an online PhD in Computer Science is a lucrative alternative to in-person education. Market projections for job growth and compensation are very positive. 
  • Professionals with a PhD in Computer Science can expect to make upwards of $80,000 post-graduation, with some roles grossing up to $200,000 annually. 
  • A PhD is a lengthy,  intense, and challenging ordeal. Potential applicants should think about the time and financial commitment before applying to a program. 
  • After receiving a PhD in Computer Science, graduates can enter the workforce immediately at top tech firms, internally at fortune corporations, and in the academic field in a teaching capacity.  

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MIT CCSE

Academic Programs

  • CSE PhD Overview
  • Dept-CSE PhD Overview
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  • Program Overview and Curriculum
  • For New CCSE Students
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MIT Doctoral Programs in Computational Science and Engineering

The Center for Computational Science and Engineering (CCSE) offers two doctoral programs in computational science and engineering (CSE) – one leading to a standalone PhD degree in CSE offered entirely by CCSE (CSE PhD) and the other leading to an interdisciplinary PhD degree offered jointly with participating departments in the School of Engineering and the School of Science (Dept-CSE PhD).

While both programs enable students to specialize at the doctoral level in a computation-related field via focused coursework and a thesis, they differ in essential ways. The standalone CSE PhD program is intended for students who intend to pursue research in cross-cutting methodological aspects of computational science. The resulting doctoral degree in Computational Science and Engineering is awarded by CCSE via the the Schwarzman College of Computing. In contrast, the interdisciplinary CSE PhD program is intended for students who are interested in computation in the context of a specific engineering or science discipline. For this reason, this degree is offered jointly with participating departments across the Institute; the interdisciplinary degree is awarded in a specially crafted thesis field that recognizes the student’s specialization in computation within the chosen engineering or science discipline.

For more information about CCSE’s doctoral programs, please explore the links on the left. Information about our application and admission process is available via the ‘ Admissions ‘ tab in our menu. MIT Registrar’s Office provides graduate tuition and fee rates as set by the MIT Corporation and the Graduate Admissions section of MIT’s Office of Graduate Education (OGE) website contains additional information about costs of attendance and funding .

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UT Dallas Mobile

Why enroll in a PhD?

What’s a phd degree, and why should one get one.

A PhD, or a Doctor of Philosophy Degree, is the highest degree that one can earn in the United States. An essential component of the Ph degree is performing original research, i.e., creating new knowledge, a body of knowledge that was not available before. This essentially means that as part of doing a PhD, you are solving a non-trivial problem, for which no solution was previously known. Through a PhD degree, you get training in doing research. You also acquire a lot of advanced knowledge in the subject area you choose, and you become the world’s leading expert in that area.

If you are gifted, creative, think outside of the box, and are passionate about computing, you should definitely pursue a PhD. A PhD degree in computer science is highly valued in industry, academia, as well as industrial and government research labs. As a leading expert in the subject area, academia and industrial/government labs will be interested in you and would want to hire you. The computing industry will hire you because you have gone through the training of solving really hard problems in a creative manner, and the companies want to use this skill that you have learned while doing your PhD for solving other issues that they may have, even those that are not related to your subject area. A PhD degree holder gets a lot of respect in the general community as well. Big tech companies would want to hire you as a part of the team engaged in developing future technologies. Above all, earning a PhD can give you the satisfaction of doing something that no one had done before: solving a problem that was unsolved until you solved it.

Doctoral research has been important for humankind’s progress. Many significant and vital discoveries were made as part of an inventor’s PhD thesis. For example, the automatic theorem-proving procedure that underlies nearly all AI reasoning systems was discovered by Jacques Herbrand as part of his PhD thesis research.

It all sounds pretty hard, would I be able to do it. How would one be able to solve a problem that no one else could solve earlier?

It is certainly not easy to earn a PhD. A PhD degree requires a large amount of dedication, passion, and hard work. However, during your PhD, you closely work with your supervising Professor (your advisor), who helps you every step of the way. Your advisor will be your guide, and that makes things somewhat more manageable. Your advisor will help you in selecting the right problem to solve, brainstorm with you when you propose solutions, and advise you on how to avoid pitfalls, etc. The work and the solution to the problem, of course, have to be your own—after all, it’s your PhD.

Your life is also made somewhat easier by a community of scholars—other professors and PhD students – among whom you reside. There are 50+ faculty members and postdoctoral researchers actively conducting research in the UT Dallas CS Department and another 170 PhD students. This community of scholars is there to help you, as well. Your Professor will have their own research group with multiple PhD students, and often all of the group members may be working on different aspects of a larger problem. The whole group is very much like a family and not only provides scholarly help but also a lot of emotional and moral support.

What kind of jobs can one get after doing a PhD?

The job market for PhD’s in computer science is superb. The salaries and perks are excellent too. Computer Science is a rapidly expanding field, and new areas are becoming prominent – AI, machine learning, big data, cyber security, Internet of Things, virtual/augmented reality. Companies are making significant investments in advancing these technologies as well as creating new applications for them. They are recruiting PhD graduates in large numbers at sky-high salaries, perks, and bonuses. Today, the five largest companies by market capitalization in the US stock market are technology companies – Google, Facebook, Microsoft, Apple, and Amazon.com – and they have a voracious appetite for PhD graduates.

Because of the popularity of CS as a degree major, as well as increased investments by the government in computing research, Universities are also hiring professors in large numbers. At UT Dallas, in the last five years, we have hired nearly 25 faculty members.

PhD graduates are also sought after by startups, and, in fact, many PhD graduates themselves have gone on to start their own companies. Google was born out of the research of Sergey Brin (though he never completed his Ph.D. after launching Google). Google was based on a research paper that proposed the page-ranking algorithm written while Sergey Brin was a PhD student.

Can you talk about some of the recent success stories from among your PhD graduates? 

Every year we interview every PhD graduate and post the story on our news page. Here is this year’s story about our PhD graduates . Our graduates have gone to work for top technology companies such as Google, Microsoft, Facebook, Apple, and Amazon. I should make a special mention of Dr. Ashkan Yousefpour, who just joined Facebook, after finishing his PhD in the fall of 2019. His PhD was in the area of networking and machine learning. You can learn more about his success by reading this Q&A with Dr. Yousefpour . Likewise, I should highlight Dr. Laura Moreno, who joined Colorado State University as a faculty member in 2016. You can  read more in this Q&A with Dr. Moreno.

Many people say that doing a PhD has a negative financial impact on that person. Is that true?

Far from being true, it’s actually patently false. PhD graduates of today command incredible salaries, especially if they work for large tech companies. Top earners can make salaries north of $150k per year, with a joining bonus between $50k to $100k and hundreds of thousands of dollars’ worth of stock options. Twelve-months University salaries for tenure-track faculty positions can be as high as $175,000. As a graduate with a PhD in computer science, you will always be in demand by companies, Universities, research labs, etc. A PhD in computer science indeed secures your career against economic downturns, as good computer scientists are and will always be in demand.

How long does the PhD degree take, and how much is it going to cost me?

A PhD degree will take at least four years, if not longer. Four to six years is a reasonable estimate for the range of time. The average at UT Dallas CS is perhaps 4.5 years. The good news is that nearly all our full-time PhD students have 100% of their tuition covered. In addition, PhD students get a monthly stipend ranging from $1,850 to $2,150 for covering living expenses. Financial support is generally guaranteed for four academic years. Of course, a Ph.D. student must keep making excellent progress for the continuation of this support.

Do I need an MS degree in Computer Science in order to apply for the PhD program at UT Dallas CS?

No, you don’t need to have an MS degree in advance. If you have a stellar academic record, you can apply right after your BS CS (or equivalent) degree. You will get an MS degree on the way using the coursework that you do as part of your PhD.

There are more than 200 PhD programs in Computer Science in the United States. Why should I do my Ph.D. at UT Dallas Computer Science Department?

Excellent question. There are several reasons why you should get your PhD degree in Computer Science from UT Dallas. First and foremost, we have superb faculty who are world-renowned for their research in emerging areas such as AI, Machine Learning, Natural Language Processing, Cyber Security, Software Engineering, Data Science, Internet of Things (IoT), etc. Our faculty members have received many best paper awards at various conferences, as well as many test-of-time awards, where a research paper is recognized for its long-lasting impact on the field. Seventeen of our faculty members (as of 2023) hold the prestigious National Science Foundation CAREER award—given to promising young assistant professor through a nationwide competition each year.

Second, we have an incredible system of support for our PhD students. In their first semester, all PhD students are required to take a course where they learn what research and creativity are all about, what is involved in doing a PhD, and how one can be a successful PhD student? Students get their first taste of writing a large research paper – a survey of research in their area of interest – in this introductory class. The department also organizes a weekly mixer of faculty and PhD students, where each week, one research lab briefly introduces itself and gives an overview of its research projects. The lab also provides refreshments for the mixer. In addition, the department runs a reward program, where if a group publishes a paper in a top CS conference, it gets $1,500 towards travel expenses to that conference. In addition, there are weekly seminars explicitly organized for graduate students to attend so they can get to learn about cutting-edge research in computer science. There are other opportunities, as well. For example, teaching in the summer camps that the CS department organizes for high school students, various hackathons and programming competitions, as well as many other academic, scholarly activities. The environment in the CS Department is exceptionally collegial and supportive of PhD students. PhD students are treated as an integral part of the community of scholars in the CS Department.

Third, almost all our PhD students are fully supported. They also have incredible internship opportunities available to them in the later part of their PhD, especially if they plan to pursue a career in industry.

What are the milestones that one has to cross in the PhD program at UT Dallas CS Department?

All PhD students have to pass a PhD qualifying exam in their first year (Exams in three CS subject areas spread over two semesters). Students typically find their PhD advisor in their first year and start on a program of study. They will generally identify their target area of research by their second year and begin reading-related research papers. At this time, a student may also assemble his/her dissertation committee. By the end of the second year or beginning of the third year, they would have identified a specific problem their dissertation would address, and they would start working on solving it in earnest. Once the problem that the student will solve and the approach to solving it has been identified, a thesis proposal will be made to the dissertation committee. Once the committee accepts the proposal, the student will perform the work needed to solve the problem, write the dissertation, and then present it in the final Ph.D. dissertation defense to the committee.

Any parting thoughts that you want to add?

While doing a PhD in Computer Science can be highly lucrative, you should never do a PhD for money alone. You should do a PhD for the love of learning. You should do it because you enjoy learning advanced materials in computer science, because you enjoy solving hard problems, and because you want to be known and respected for creating knowledge that will advance the frontiers of knowledge. Also, a PhD requires dedication, perseverance, and hard work, and the entrance requirements are stringent, and only academically strong students make it to the program.

Learn more about getting a  Ph.D. in Computer Science  or  Software Engineering .

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PhD Program Admissions

Chien-Ming Huang and a student work in a robotics lab.

Applying to our PhD Program

We’re thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here.

Our program accepts a large number of applicants each year from a diverse range of backgrounds. Our applicants come directly from undergraduate or master’s programs, as well as industry positions, and from within United States and numerous countries around the world.

Visit the interactive PhD program statistics page   to view historical program data pertaining to admissions, enrollment, retention/attrition/completion, and time to degree conferral. (Select “ Computer Science” from the “Choose Program” drop-down menu.)

Ready to start your PhD application?

We’re ready for you. Click on the link below to start your application to become a PhD student at Johns Hopkins University

The Application: General Advice

The most important question we ask when reviewing applications is "Will this individual excel at research?" Every part of your application is helpful insofar as it answers this question. The three major components of an application are the statement, letters of recommendation, and grades.

This is one of the most important parts of your application; it lets us get to know you and creates a narrative of your academic career and future plans. Before you write your statement, start by thinking about what you want us to learn about you. Make a list of important achievements, perspectives, and goals. Build your statement around this list. We are looking for students who have made the most of the opportunities they have been presented with and who are smart, creative, and motivated. Keep in mind that we also have your CV and letters of recommendation, so we don’t necessarily need a list of all your accomplishments. However, your statement can fill in the narrative around what you did and, more specifically, why you did it. What motivates you? What are your research interests and why? These details aren’t found elsewhere in your application, so focus on them in your statement.

There are a few things we suggest not including in your statement. While it’s tempting to give a rationale for why you are applying to our program, don’t include it if it’s uninformed. Consider: “I want to apply to Johns Hopkins because it’s one of the premiere academic programs.” We know that already! If you do have specific reasons to be interested in our program (e.g. location, a specific project, a faculty member, etc.), be sure to mention them.

In terms of your motivation, be specific! Don’t write: “I’ve wanted to do a PhD in CS since I was six years old.” We don’t trust that six-year-olds make good career decisions. If you write “I have always found AREA X fascinating,” explain why.

Letters of Recommendation

The two most important factors of a recommendation letter are: 1) select someone who knows you well, and 2) select someone who knows how to write a letter.

First, it’s tempting to ask Professor X. to write a letter for you because they are a well-known person in the field. While we can better contextualize letters from people we know, it’s only helpful if the letter contains meaningful information. If Professor X. writes, “I’ve met the applicant a few times and they seem sharp,” that’s not useful information. It’s more important to select someone who knows you well and can discuss your achievements in detail.

Second, your letter writer should know how to write a letter. Academic research programs look for different things than a company. We often read letters from work supervisors that say nice things, but don’t speak to the qualities we find most important.

Of course, it’s a balance. You want someone who knows you well, but they still need to know how to write a good letter of recommendation.

We understand that three letters are a lot, especially for an undergraduate applying directly to a PhD program. We don’t expect each candidate to have three amazing letters. Your choices should be about balance: you want people who know you well, can write good academic letters, and know the research field. Use your choice of your three letter-writers to create this balance.

There isn’t much you can do about your grades—you have the grades you have. However, we do not use any grade cutoffs or thresholds in admissions. We want to see that you did well and excelled in whatever program you were in. Did you push yourself to take upper-level classes? Did you do well in the classes most directly related to your research area? If you have special circumstances that explain some of your grades, please include a description of them in your statement.

The Whiting School of Engineering does not require GRE General Test scores for applications to our PhD programs.

TOEFL or IELTS

Non-native English speakers must take the TOEFL or IELTS exams. Details on accepted exams, scores, and exceptions to this requirement can be found here .

Application Tips

There are many helpful guides for PhD applications. Here are a few we recommend:

  • How to be a Successful PhD Student (co-authored by our own Mark Dredze )
  • What Readers Look for in a Statement of Purpose
  • Student Perspectives on Applying to NLP PhD Programs
  • A Survival Guide to a PhD

Application Deadlines

Application Deadline:

The deadline for fall is December 15th. (No recruiting for spring admissions.)

The application will be available for submission on or around August 15.

A painting of Vivien Thomas.

Vivien Thomas Scholars

The Vivien Thomas Scholars Initiative (VTSI) is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically black college and university or other minority serving institution for undergraduate study are eligible to apply. To be considered for the VTSI, all application and supplementary materials must be received by December 1, 2021.

student waving Cal flag

Computer Science PhD

The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD).

Master of Science (MS)

The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for pursuing a PhD.

Doctor of Philosophy (PhD)

The Berkeley PhD in EECS combines coursework and original research with some of the finest EECS faculty in the US, preparing for careers in academia or industry. Our alumni have gone on to hold amazing positions around the world.

Contact Info

[email protected]

215 Cory Hall

Berkeley, CA 94720

At a Glance

Department(s)

Electrical Engineering & Computer Sciences

Admit Term(s)

Application Deadline

December 9, 2024

Degree Type(s)

Doctoral / PhD

Degree Awarded

GRE Requirements

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Home > Blog > Academic Degrees > Computer Science News > Why Get a PhD in Computer Science? Your Questions Answered

Academic Degrees , Computer Science News

Why Get a PhD in Computer Science? Your Questions Answered

can you do a phd in computer science

Updated: June 19, 2024

Published: August 24, 2019

Computer-Science

Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia.

Most people who have completed the doctorate degree advise doing so only if you really love the subject and research. Earning your PhD in Computer Science has many benefits, although there is no doubt that it’s challenging.

Although a doctorate degree is not required to work in the field, it offers other benefits like allowing you to research cutting-edge technology with adequate funding. As with any graduate degree, it takes both time and money to complete, so before deciding to enroll, let’s go more in depth and answer some questions about why you would want to get a PhD in Computer Science.

can you do a phd in computer science

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What is a phd in computer science.

A PhD in Computer Science is the highest level doctorate degree you can earn. Once you finish your undergraduate degree in Computer Science or a related field like Engineering or Applied Mathematics, you can apply for your doctorate degree .

If you didn’t major in Computer Science, then earning your Master’s degree in the subject will help you on your journey for your doctorate degree. Although it is not required to apply for a PhD, having your Master’s degree first is generally preferable.

Most programs require the following, along with a degree, to apply for a PhD:

  • Previous research experience
  • Letters of recommendation
  • A high GPA (about 3.5-4.0)

Program Length

Earning your PhD in Computer Science is not for the faint of heart as it requires a lot of time, energy and perseverance. Although the length of completion depends on your enrollment status of full or part-time, it typically takes 5-6 years to finish.

Opportunities and Challenges

As the top academic achievement within the field, a PhD exposes students to high-level information, as well as some of the hardest challenges facing the world and technology. A PhD grants students the opportunity to perform the research of their choice and explore the topic that interest them the most.

Upon graduation, a PhD student can continue with academia or enter the industry. However, if you want to enter the field as a Computer Programmer, Software Developer or the like, you don’t have to earn a degree at this level as a Bachelor’s degree will suffice. In fact, some jobs may consider a PhD candidate to be too highly qualified, so you’ll want to assess your future goals before enrolling in a PhD program.

One of the benefits of earning this doctorate degree is the freedom you have. Most programs are quite unstructured, meaning that you get to choose what you want to research. Therefore, you can be a leading expert in the field and help to shape policies around artificial intelligence, automation and technologies that are changing the way the world functions.

The deep and rich education can expand your horizons and help you understand ideas and topics that you would never have otherwise considered.

Potential Jobs

Although it is possible to enter the field of Computer Science without a PhD, having the knowledge will expand possibilities and increase your pay.

Some of the job titles that PhD candidates seek include:

Computer and Information Research Scientist:

People in this position help to invent new programming languages that enhance business practices. With the high amount of data, information and research, these scientists can create changes and also assess their impact through analysis.

Database Administrator:

Database administrators organize and secure data against attacks. Those with a PhD can be trusted to understand the complex nature of various systems and be able to better protect them.

Software Developer:

Software developers create systems and software for various uses. Although a PhD is not required to be a software developer, it further enhances one’s understanding.

Computer Science salaries vary based on position type, location and education. However, the overall field of Computer Science is growing. In fact, Computer and Information Research Scientists are expecting much higher than average growth with the discipline expected to increase its demand by 19% between 2016 and 2026. Those with a PhD will increase their salary potential based on their educational accomplishment.

Furthermore, with a PhD in Computer Science, you can go on to be a professor since you’re a leading expert in the field. The demand for jobs within the field is growing, especially regarding cloud computing, data storage, artificial intelligence and information security.

can you do a phd in computer science

Online Versus Traditional Programs

The reason you choose to earn your PhD in Computer Science is personal, and how you choose to do it is also a subjective choice. It’s hard to say if an online university or traditional onsite program is better or worse because the reasons for choosing to do one or the other are different.

The benefits of an online program include relatively lower costs, more flexibility and greater accessibility. However, an onsite program offers you more opportunity to perform research and work with those in person who are already advancing the field.

For example, some students who earn their Bachelor’s degree in Computer Science online from University of the People may enjoy the online experience and therefore want to continue their studies remotely by earning their PhD online as well.

Earning your undergraduate degree is the first step in moving towards earning your PhD in Computer Science. While the field is always growing and the opportunity for research multiplies, pursuing a PhD in the discipline is an important decision to make. The program generally offers freedom to select your area of interest, but it also takes time and a lot of dedication to complete.

Those who go on to get their PhD should really have an affinity for the subject matter and love to conduct research. It’s also useful to know that it’s typically easier to earn a PhD then enter the field as opposed to working in the field and then going back to earn your PhD.

Any form of higher education will never serve as a detriment as it helps expand your mind, create more networking opportunities and better hone your skills and knowledge regarding specific subject matter.

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Computer science - phd at waterloo, program information.

 
Admit term(s)

Fall (September - December)

Winter (January - April)

Spring (May - August)

Application and document submission deadline(s)

December 1 (for admission in September of the following year)

June 1 (for admission in January of the following year)

October 1 (for admission in May of the following year)

Delivery mode On-campus
Program type Doctoral, Research
Length of program 48 months (full-time)
Registration option(s) Full-time, Part-time
Study option(s) Thesis

Algorithms and Complexity

Artificial Intelligence

Bioinformatics

Computer Algebra and Symbolic Computation

Computer Graphics

Cryptography, Security and Privacy

Databases

Formal Methods

Health Informatics

Human-Computer Interaction

Information Retrieval

Machine Learning

Programming Languages

Quantum Computing

Scientific Computing

Software Engineering

Systems and Networking

Watch the How to apply to Waterloo graduate studies video

What does it take to get in?

Minimum admission requirements.

  • A Master's degree in Computer Science with a 78% average.
  • Student with an undergraduate degree in Computer Science may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, breadth of knowledge in computer science, and strong letters of recommendation.
  • PhD applicants may be admitted into the Master of Mathematics (MMath) program. Like all MMath students, they will have the option to transfer into the PhD program before completing the master's thesis if their performance warrants.

Supervisors

  • Review the finding a supervisor resources
  • Applicants do not need to have a confirmed supervisor before applying. If offered admission, a supervisor will be assigned at that time 

Application materials

  • The SIF contains questions specific to your program, typically about why you want to enrol and your experience in that field. Review the  application documents web page for more information about this requirement
  • If a statement or letter is required by your program, review the  writing your personal statement resources  for helpful tips and tricks on completion

Transcript(s)

  • Three  references are required; at least two academic
  • TOEFL 93 (writing 22, speaking 22), IELTS 6.5 (writing 6.0, speaking 6.5)

How much will it cost?

  • Use the student budget calculator to estimate your cost and resources
  • Visit the  graduate program tuition page  on the Finance website to determine the tuition and incidental fees per term for your program
  • Review the  study and living costs
  • Review the funding graduate school resources for graduate students

What can you expect at Waterloo?

  • Review the degree requirements in the Graduate Studies Academic Calendar, including the courses that you can anticipate taking as part of completing the degree
  • Check out profiles of current graduate students to learn about their experience at Waterloo
  • Check out Waterloo's institutional thesis repository - UWspace to see recent submissions from the David R. Cheriton School of Computer Science graduate students
  • Check out the Waterloo campus and city tours
  • Review the  David R. Cheriton School of Computer Science  website to see information about supervisors, research areas, news, and events

This program page is effective September 2023; it will be updated annually. Any changes to the program page following this date will be indicated with a notation. 

We strive to provide you with the necessary information on each of our program pages.  Was there something you found helpful?  Was there anything missing?  Share your thoughts .

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Program Contact

Computer Science Graduate Office

Graduate Studies and Postdoctoral Affairs (GSPA)

Graduate Studies Academic Calendar

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The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations .

Curriculum Requirements

Ph.D. in Computer Science

Major Requirements

Credits:
Theoretic Concepts in Computers and Computation 3
Selected topics in set theory, Boolean Algebra, graph theory, and combinatorics. Formal languages, regular expressions and grammars. Automata and Turing machines. Algorithms and computability.

3-0-3
Programming Languages 3
Co-requisite: CSCI 651

The general principles of modern programming language design: Imperative (as exemplified by Pascal, C and Ada), functional (Lisp), and logical (Prolog) languages. Data management, abstract data types, packages, and object-oriented languages (Ada, C + +). Control structures. Syntax and formal semantics. While some implementation techniques are mentioned, the primary thrust of the course is concerned with the abstract semantics of programming languages.

3-0-3
Algorithm Concepts 3
Abstract Data Structures are reviewed. The course covers the study of both the design and analysis of algorithms. Design methods include: divide-and-conquer; the greedy method; dynamic programming; basic traversal and search techniques algebraic and geometric problems as well as parallel algorithms (PRAM). Space and time complexity; performance evaluation; and NP-Hard and NP-Complete classes are also covered. The purpose of this approach to the subject is to enable students to design and analyze new algorithms for themselve.

3-0-3
    Total: 9 Credits
Electives can be selected from the following list in the areas of: Computer Science; Cybersecurity; and Data Science.
 
Credits:
Distributed Systems 3
This course introduces the principles and practice underlying the design of distributed systems, both Internet-based and otherwise. Major topics include interprocess communication and remote invocation, distributed naming, distributed file systems, data replication, distributed transaction mechanisms, and distributed shared objects, secure communication, authentication and access control, mobile code, transactions and persistent storage mechanisms. A course project is required to construct working distributed applications using contemporary languages, tools and environments.

3-0-3
Operating System Security 3
In this course students are introduced to advanced concepts in operating systems with emphasis on security. Students will study contemporary operating systems including UNIX and Windows. Topics include the application of policies for security administration, directory services, file system security, audit and logging, cryptographic enabled applications, cryptographic programming interfaces, and operating system integrity verification techniques. Equivalent to ITEC 445.

3-0-3
Information Retrieval 3
This course provides students with an introduction to the basics and techniques of information retrieval. Topics cover search engines, retrieval strategies such as vector space, extended Boolean, probabilistic models and evaluation methods including relevance-based measures, query processing, indexing and searching. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Big Data Analytics 3
Organizations today are generating massive amounts of data that are too large and unstructured to fit in relational databases. Organizations and enterprises are turning to massively parallel computing solutions such as Hadoop. The Apache Hadoop platform allows for distributed processing of large data sets across clusters of computers using the map and reduce programming model. Students will gain an in-depth understanding of how MapReduce and Distributed File Systems work. In addition, they will be able to author Hadoop-based MapReduce applications in Java and use Hadoop subprojects Hive and Pig to build powerful data processing applications. Industry systems, such as IBM InfoSphere BigInsights and IBM InfoSphere Streams will be studied. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Computer Architecture I 3
This course explores modem architectural design patterns and exposes the students to latest technologies used to build computing systems. Concepts presented in this course include but are not limited to pipelining, multicore processors, superscalar processors with in-order and out-of order execution, virtual machines, memory hierarchy, virtual memory, interconnection networking, storage and I/0 architectures, computer clustering and cloud computing. Students are introduced to performance evaluation techniques and learn how to use the results of such techniques in the design of computing systems. Equivalent to EENG 641.

3-0-3
Numerical Analysis 3
Real and complex zeros of a function and polynomials, interpolation, roundoff error, optimization techniques, least square techniques, orthogonal functions, Legendre and Chebyshev polynomials, numerical integration and differentiation, numerical solution of differential equations with initial and boundary values. The numerical methods developed will emphasize efficiency, accuracy and suitability to high-speed computing. Selected algorithms may be flowcharted and programmed for solution on a computer.

3-0-3
Database Interface and Programming 3
An advanced course in static and dynamic programming embedded SQL using C. Open Database Connectivity (ODBC), interface to access data from various database management systems with Structured Query Language (SQL). Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Principles of Information Security 3
In this course students will study the issues involved in structuring information systems to meet enterprise requirements including security and public policy regulations. Topics include the building blocks of an information system, emphasizing the security and administration aspects of each, as well as life- cycle considerations, and risk management. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee. Classroom Hours- Laboratory and/or Studio Hours- Course Credits 3-0-3

Automata Theory 3
Theory of finite automata, identification of states. Turing Machines, neural nets, majority logic. Applications in pattern recognition and game playing. Hardware and software implementations.

3-0-3
Distributed Database Systems 3
Concepts underlying distributed systems: synchronization, communication, fault-tolerance. Concepts and architecture of distributed database systems. Distributed concurrency control and recovery. Replicated databases. Distributed Query Processing. Examples of commercial relational distributed DBMS. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Introduction to Data Mining 3
This course introduces the concepts, techniques, and applications of data mining. Topics include data preprocessing, clustering, data warehouse and Online Analytical Processing (OLAP) technology, cluster and social network analysis, data classification and prediction, multimedia and web mining. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Software Engineering 3
Techniques for the development and implementation of high-quality digital computer software are presented. Major areas covered in the course include software quality factors and metrics, software development outlines and specification languages, top-down vs. bottom-up design and development, complexity, testing and software reliability.

3-0-3
Computer Networks 3
Connection of multiple systems in a networked environment. Topics include physical connection alternatives, error management at the physical level, commercially available protocol support, packet switching, LANs, WANs and Gateways.

3-0-3
Artificial Intelligence I 3
Prerequisite: CSCI 651

This course will cover machine learning (ML) concepts, decision theory, classification, clustering, feature selection, and feature extraction. Emphasis is on the core idea and optimization theory behind ML methods. Important ML applications (including biometrics and anomaly detection) will also be covered.

3-0-3
Database Systems 3
Prerequisites: CSCI 651 or DTSC 610

Design and implementation of databases. Hierarchal and network concepts; relational databases systems; entity relationship model: query languages; relational design theory; security and authorization; access methods; concurrency control backup and recovery.

3-0-3
Advanced Software Engineering 3
Prerequisite: CSCI 665

The major emphasis in this course is on the structural design of software. Methods and concepts covered include cohesion and coupling; structured and composite design: Jackson methodology; higher order software; data abstraction and design of program families.

3-0-3
Advanced Network and Internet Security 3
In this course, students are introduced to the design of secure computer networks. Exploitation of weaknesses in the design of network infrastructure and security flaws in network protocols are presented and discussed. Network operation systems and network architectures are reviewed, together with the respective security related issues. Issues related to the security of content and applications such as emails, DNS, web servers are also addressed. Security techniques including intrusion detection, forensics, cryptography, authentication and access control are analyzed. Security issues in IPSEC, SSL/ TLS and the SSH protocol are presented.

3-0-3
Computer Security Risk Management and Legal Issues 3
This course explores several domains in the Information Security Common Body of Knowledge. Students in this course will be introduced to the following domains within Information Security: Security Management Practices, Security Architecture and Models, Business Continuity Planning (BCP), Disaster Recovery Planning (DRP), Law, Investigations, Ethics, Physical Security, Operations Security, Access Control Systems and Methodology, Network and Internet Security. 3-0-3

Digital Forensics 3
Prerequisite: INCS 615

Digital forensics is concerned with the post-analysis of information systems that have already been compromised, usually by criminal actors. It is a field that encompasses a range of topics, including computer forensics, memory forensics, network forensics, and incident response. This course is an introduction to the investigation procedures that are used in digital forensics. These procedures, depending on the type of crime, reconstruct the events that led to the compromise. Students who take this course will gain an in depth understanding of handling digital evidence, gathering and investigating artifacts and evidence, and effectively managing security incidents, including incident response techniques for preventing and addressing cyberattacks.

3-0-3
Cryptography 3
In this course we introduce the students to key issues in cryptography. Topics covered include definitions of security, digital signatures, cryptographic hash functions, authentication, symmetric and asymmetric encryption, stream ciphers, and zero knowledge proof systems.

3-0-3
Intrusion Detection and Hacker Exploits 3
Prerequisite: CSCI 620 and INCS 615

Methods used in computer and network hacking are studied with the intention of learning how to better to protect systems from such intrusions. Methods used by hackers include reconnaissance techniques, system scanning, and gaining system access by network and application level attacks, and denial of service attacks. The course will extensively study Internet related protocols, methods of traffic analysis, tools and techniques for implementing traffic filtering and monitoring, and intrusion detection techniques. Students will study common hacking and evasion techniques for compromising intrusion detection systems.

3-0-3
Data Center Security 3
Prerequisite: INCS 745

Data Center Security is concerned with the study of computer architectures and systems that provide critical computing infrastructure. This infrastructure combines hardware devices including computers, firewalls, routers, switches, and software applications such as email systems, Web servers, and computer desktop operating systems, to implement and manage organization wide secure computing capability. Examples of critical systems include intranet, extranet, and Internet systems.

3-0-3
Programming for Data Science 3
This course will introduce basic programming concepts (i.e. in Python and R), and techniques including data structures (vector, matrix, list, data frame, factor), basic and common operations/concepts (indexing, vectorization, split, subset), data input and output, control structures and functions. Other topics will include string operations (stringr package) and data manipulation techniques (dplyr, reshape2 packages). The course will also explore data mining, such as probability basics/data exploration, clustering, regression, classification, graphics and debugging.

2-2-3
Optimization Methods for Data Science 3
Corequisites: DTSC 635

Basic concepts in optimization are introduced. Linear optimization (linear and integer programming) will be introduced including solution methods like simplex and the sensitivity analysis with applications to transportation, network optimization and task assignments. Unconstrained and constrained non-linear optimization will be studied and solution methods using tools like Matlab/Excel will be discussed. Extensions to game theory and computational methods to solve static, dynamic games will be provided. Decision theory algorithms and statistical data analysis tools (Z-test, t-test, F-test, Bayesian algorithms and Neyman Pearson methods) will be studied. Linear and non-linear regression techniques will be explored.

3-0-3
Statistics for Data Science 3
This course presents a range of methods in descriptive statistics, frequentist statistics, Bayesian statistics, hypothesis testing, and regression analysis. Topics includes point estimation, confidence interval estimation, nonparametric model estimation, parametric model estimation, Bayesian parametric models, Bayesian estimators, parametric testing, nonparametric testing, simple and multiple linear regression models, logistic regression model.

3-0-3
Data Visualization 3
This course is designed to provide an introduction to the fundamental principles of designing and building effective data visualizations. Students will learn about data visualization principles rooted in graphic design, psychology and cognitive science, and how to the use these principles in conjunction with state-of-the-art technology to create effective visualizations for any domain. Students who have taken this course will not only understand the current state-of-the-art in data visualization but they will be capable of extending it.

3-0-3
Probability and Stochastic Processes 3
This course starts with a review of the elements of probability theory such as: axioms of probability, conditional and independent probabilities, random variables, distribution functions, functions of random variables, statistical averages, and some well-known random variables such as Bernoulli, geometry, binomial, Pascal, Gaussian, and Poisson. The course introduces more advanced topics such as stochastic processes, stationary processes, correlations, statistical signal processing, and well-known processes such as Brownian motion, Poisson, Gaussian, and Markov. Prerequisite: Undergraduate level knowledge of probability theory.

3-0-3
Introduction to Big Data 3
Prerequisite: DTSC 610

This course provides an overview of big data applications ranging from data acquisition, storage, management, transfer, to analytics, with focus on the state-of-the-art technologies, tools, and platforms that constitute big-data computing solutions. Real-life big data applications and workflows are introduced as well as use cases to illustrate the development, deployment, and execution of a wide spectrum of emerging big-data solutions.

3-0-3
Machine Learning 3
Prerequisite: DTSC 615

In this course, students will learn important machine learning (ML) and data mining concepts and algorithms. Emphasis is on basic ideas and intuitions behind ML methods and their applications in activity recognition, and anomaly detection. This course will cover core ML topics such as classification, clustering, feature selection, Bayesian networks, and feature extraction. Classroom teaching will be augmented with experiments performed on machine learning systems. Student understanding and progress will be measured through quizzes, exams, homework, project assii.mments, proposals, term-paper reports, and presentations.

3-0-3
Deep Learning 3
Prerequisites: DTSC 620, DTSC 710

This course presents a range of topics from basic neural networks, convolutional and recurrent network structures, deep unsupervised and reinforcement learning, and applications to problem domains like speech recognition and computervision. Classroom Hours- Laboratory and/or Studio Hours- Course Credits: 3-0-3

3-0-3
Biometrics 3
Prerequisite: DTSC 710

Biometrics has emerged as an important tool for user identification and authentication in security-critical applications, both the physical and virtual world. At its core, biometrics is an application of machine learning and anomaly detection. This course introduces biometrics concepts by building on machine learning and anomaly detection, and shows how state-of-the-art machine learning techniques are currently applied to biometric authentication. The course covers core biometric topics, and discusses the innovations made in the past decade. The course also concentrates on emerging biometric applications and their privacy, security, and usability, implications in a networked society.

3-0-3
    Total: 27 Credits
** Students can register for the courses below multiple times with credits ranging from 1 to 9 to fulfill the total 30-credit requirement for research and dissertation.
 
Credits:
Independent Research** 1–9
This course is devoted to independent research for PhD student. Work is carried out under supervision of a graduate school faculty member and must be approved by the chairperson of ECE department.

0-0-1
    Total: 18 Credits
 
Credits:
Ph.D. Dissertation** 1–9
Development and implementation of original research. After completion of preliminary dissertation proposal, candidates must continue to register for this course to maintain candidacy until the completed dissertation is submitted.

0-0-1
    Total: 12 Credits
Students will be required to maintain an overall GPA of 3.0 in Ph.D. courses. A grade below a B- will result in the student repeating the course.
 


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IMAGES

  1. How to select the best topic for your PhD in Computer Science?

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  2. How to Get a PhD in Computer Science, and My Dissertation

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  3. Dual Masters And PhD Programs In Computer Science

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  4. PhD in Computer Science: Specializations & Best Degrees

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  5. Best PhDs in Computer Science

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  6. Georgia Institute Of Technology Computer Science PhD

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COMMENTS

  1. Ph.D. Programs in Computer Science

    Benefits of a Ph.D. in computer science include: Sharper Skills: A computer science doctorate can help you improve a variety of important career skills, such as research, communication, critical thinking, and problem-solving. Job Opportunities: Ph.D. in computer science graduates can qualify for promotions and higher-level roles.

  2. FAQ: Is a PhD in Computer Science Worth It? (With Jobs)

    A Ph.D. in computer science is a doctoral degree that students can earn after completing advanced research on a complex computer science topic, such as artificial intelligence (AI) or network architecture. A doctorate is the highest academic degree students can earn in the computer science field. These programs typically teach students how to ...

  3. PhD Admissions

    The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. Eligibility. To be eligible for admission in a Stanford graduate program, applicants must meet: Degree level ...

  4. PhD Admissions

    No, it is not required that a student have majored in CS. However, it is important that you have strong quantitative and analytical skills. If I already have a PhD degree in Computer Science from another institution, may I apply to the PhD program at Stanford? No, if you have a PhD in CS from another institution, you cannot apply to the CS PhD ...

  5. CS PhD Course Guidelines

    8 of the 10 courses must be disciplinary, and at least 7 of those must be technical courses drawn from the Harvard John A. Paulson School of Engineering and Applied Sciences, FAS or MIT. Of the 7 technical courses, at least 3 must be 200-level Computer Science courses, with 3 different middle digits (from the set 2,3,4,5,6,7,8), and with one of ...

  6. PhD

    The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense.

  7. Computer Science

    In the Computer Science program, you will learn both the fundamentals of computation and computation's interaction with the world. Computer Science is an area of study within the Harvard John A. Paulson School of Engineering and Applied Sciences. Prospective students apply through Harvard Griffin GSAS; in the online application, select ...

  8. PhD in Computer Science

    Computer Science PhD Degree. In the Computer Science program, you will learn both the fundamentals of computation and computation's interaction with the world. Your work will involve a wide range of areas including theoretical computer science, artificial intelligence and machine learning, economics and computer science, privacy and security ...

  9. Doctoral Degree in Computer Science

    Carnegie Mellon's Ph.D. in Computer Science is, above all, a research degree. When the faculty award a Ph.D., they certify that the student has a broad foundation and awareness of core concepts in computer science, has advanced the field by performing significant original research and has reported that work in a scholarly fashion. When you ...

  10. Computer Science Ph.D. Program

    The computer science Ph.D. program complies with the requirements of the Cornell Graduate School, which include requirements on residency, minimum grades, examinations, and dissertation. The Department also administers a very small 2-year Master of Science program (with thesis). Students in this program serve as teaching assistants and receive ...

  11. Where To Earn A Ph.D. In Computer Science Online In 2024

    The high cost of a graduate degree can make postsecondary education seem out of reach for many. Total tuition for the programs on this list costs $57,000 at Capital Tech and around $59,000 at NU ...

  12. Doctoral Program

    The PhD is the Computer Science Department's primary doctoral program. PhD students are expected to be during every fall and spring academic semester from initial enrollment until the dissertation has been distributed to their defense committee, except during leaves of absence approved by the university. PhD students spend at least half of ...

  13. PhD Program

    PhD Program. We are proud of the quality of PhD students we attract and the training they receive. All of our students receive support, including an annual stipend, in the form of external and internal competitive fellowships, research fellowships, or teaching fellowships. As a PhD candidate, you will share in the excitement of discovery as you ...

  14. PhD in Computer Science

    The Ph.D. in Computer Science aims to build the next generation of scholars in computer science research. At GW, doctoral students can expect to work closely with a faculty advisor in their chosen research area to create a curriculum plan and guidance for the doctoral dissertation.

  15. PhD Program

    Find Your Passion for Research Duke Computer Science gives incoming students an opportunity to investigate a range of topics, research problems, and research groups before committing to an advisor in the first year. Funding from the department and Duke makes it possible to attend group meetings, seminars, classes and colloquia. Students may work on multiple problems simultaneously while ...

  16. Online PhD in Computer Science Guide

    Earning A PhD in Computer Science. An online PhD in Computer Science typically takes between 4-5 years to complete. It's always smart to research in-person and online formats to find the program that fits your schedule. Aspiring PhD students should consider admissions requirements, areas of specialization, and cost to ensure the program they ...

  17. MIT Doctoral Programs in Computational Science and Engineering

    The standalone CSE PhD program is intended for students who intend to pursue research in cross-cutting methodological aspects of computational science. The resulting doctoral degree in Computational Science and Engineering is awarded by CCSE via the the Schwarzman College of Computing. In contrast, the interdisciplinary CSE PhD program is ...

  18. Why enroll in a PhD?

    While doing a PhD in Computer Science can be highly lucrative, you should never do a PhD for money alone. You should do a PhD for the love of learning. You should do it because you enjoy learning advanced materials in computer science, because you enjoy solving hard problems, and because you want to be known and respected for creating knowledge ...

  19. PhD Program Admissions

    We're thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here. Our program accepts a large number of applicants each ...

  20. Computer Science PhD

    The Department of Electrical Engineering and Computer Sciences (EECS) offers two graduate programs in Computer Science: the Master of Science (MS), and the Doctor of Philosophy (PhD). Master of Science (MS) The Master of Science (MS) emphasizes research preparation and experience and, for most students, is a chance to lay the groundwork for ...

  21. Why Get a PhD in Computer Science? Your Questions Answered

    Computer Science is an ever evolving and massively expanding field of study as technology continues to innovate and data grows exponentially. For those highly interested in research, earning your PhD in Computer Science can offer you top level accessibility to become an expert in the field and pursue either a high-level career within the industry or work in academia.

  22. Computer Science PhD Benefits: Career, Salary, Time

    What can you do with a PhD in computer science? We generally think of PhDs—in any field—teaching and conducting research at a university, and in fact there are academic positions available to computer science PhDs. The majority wind up elsewhere, however; according to 80000hours.org, only about 30 percent of computer science PhDs wind up ...

  23. Computer Science

    A Master's degree in Computer Science with a 78% average. Student with an undergraduate degree in Computer Science may apply for admission directly to the PhD program. Successful applicants will have an outstanding academic record, breadth of knowledge in computer science, and strong letters of recommendation.

  24. Curriculum

    This course is devoted to independent research for PhD student. Work is carried out under supervision of a graduate school faculty member and must be approved by the chairperson of ECE department. ... A maximum of 18 credits can be transferred if the student has an M.S. degree in computer science or a related area, with approval of the program ...

  25. Computer Science Ph.D.

    The objective of the Computer Science Ph.D. program is to prepare exceptionally qualified individuals for research careers in academia and industry. The program is designed for students who offer evidence of exceptional scholastic ability, intellectual creativity, and research motivation. The Ph.D. degree is viewed as a certification by the ...