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The Dietrich School of Arts and Sciences offers a broad range of graduate programs across the Natural Sciences, Social Sciences, and Arts & Humanities. Fostering inclusive excellence, our programs are home to a community of graduate students highly diverse in demographic background, citizenship, experiences, and intellectual perspective. As part of our efforts to make the activity and culture of our programs more visible, we provide basic statistics about our Ph.D. programs. The variables and data selected convey a more helpful, accurate, and comprehensive picture than external measures alone. For further information about the intellectual culture and resources in each of our programs, please also visit the departmental websites.

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Graduate Admissions FAQ

For a list of frequently asked questions and answers, visit our Graduate Admissions FAQ page .

Application deadlines can be found on our graduate FAQ page .

Program Specific Requirements

Students may be admitted to the PhD program even if they do not have an MS degree. Moreover, students admitted to the MS program are eligible to complete the requirements for the PhD degree, and if they wish to transfer to the PhD program, they must apply to the admissions committee, which will make its decision based on the student’s performance in the MS program and on faculty recommendations.

The department is open to applications from exceptional students transitioning to graduate study in Computer Science from other undergraduate fields. Transitional students with demonstrated computing aptitude, as evidenced by outstanding grades in at least 4 of the required computer science courses noted below, may be considered for admission to the graduate program. Completed minimally a selection of courses in the following topical areas (the corresponding Pitt course numbers are indicated):

In Computer Science, one course in each of:

• Intermediate Programming ( CMPINF 0401 )
• Discrete Structures ( CS 0441 )
• Information/Data Structures ( CS 0445 )
• Computer Organization/Assembly Language ( CS 0447 )
• Theory ( CS 1510  or  CS 1511 )
• Languages ( CS 1520  or  CS 1621 )
• Systems ( CS 1550  or  CS 1651 )

In Mathematics, the following:

• The two-course calculus sequence ( MATH 0220 ,  MATH 0230 )
• A course in linear algebra ( MATH 1180  or  MATH 0280 )
• A course in probability and statistics, requiring calculus as a prerequisite ( STAT 1151 ,  STAT 1152 )

For International Applicants : Graduate students must possess sufficient knowledge of English to participate successfully in graduate study. International applicants must submit either the TOEFL, Duolingo, or the IELTS (taken within two years of the date of application) with appropriate scores. Please see this page for details. If you are currently working on or have received a bachelor’s or master’s degree in the U.S. and your native language is not English, the TOEFL/IELTS/Duolingo test requirement may be waived by program. Please see this page for details.

IS PhD applicants must either have or demonstrate the following prerequisite knowledge. These courses or their equivalents should be taken before seeking admission but may be taken during the first four terms of study. All courses must be at the graduate level and may have been taken in the course of pursuing another graduate degree:

• Statistics or Discrete Math (INFSCI 2020 - MATHEMATICAL FOUNDATIONS FOR INFORMATION SCIENCE )
• Cognitive Psychology ( INFSCI 2300 - HUMAN INFORMATION PROCESSING or  INFSCI 2350 - HUMAN FACTORS IN SYSTEMS )
• Systems Analysis and Design ( INFSCI 2510 - INFORMATION SYSTEMS ANALYSIS AND DESIGN )
• Data Structures ( INFSCI 2500 - DATA STRUCTURES )
• Database Management ( INFSCI 2710 - DATABASE MANAGEMENT )

Applicants must have a Master’s degree from an accredited university, a recognized international program, or the equivalent is required and have attained a minimum grade point average (GPA) of 3.3 (on a scale with an “A” having a value of 4 points per credit). Exceptional students with a technical Bachelor’s degree may also be admitted. Such students must still satisfy all other requirements that follow. An international student’s GPA will be calculated on the basis of equivalency from universities that use a different scale.

Your application should include:

• Letters of Recommendation : identify and seek the recommendations of three individuals (e.g., professors, employers, information professionals) who are in a position to evaluate your academic performance or your potential as an information professional. Two must be from professors, preferably with PhDs.
• Transcripts : Only scanned copies of official transcripts will be accepted and processed at the application stage.
• Statement of Intent (not to exceed 1,000 words) indicating, as specifically as possible, you’re your academic and professional goals related to the Information Science doctoral program and identifying potential areas and/or topics in which the student expects to pursue dissertation research.

For International Applicants : Graduate students must possess sufficient knowledge of English to participate successfully in graduate study. International applicants must submit either the TOEFL, Duolingo, or the IELTS (taken within two years of the date of application) with appropriate scores. Please see this page  for details.

If you are currently working on or have received a bachelor’s or master’s degree in the U.S. and your native language is not English, the TOEFL/IELTS/Duolingo test requirement may be waived by program. Please see this page for details.

All applicants to the School of Computing and Information must adhere to the admissions requirements outlined in the  School’s policies . In addition, the following are requirements for admission to graduate study in Telecommunications for pursuing a PhD degree:

• A Master’s degree from an accredited university, a recognized international program, or the equivalent. Exceptional students with a technical Bachelor’s degree may also be admitted. Such students must still satisfy all other requirements that follow.
• Attainment in graduate work of a minimum grade point average of 3.3 (on a scale with A having a value of 4 points per credit). An international student’s grade point average will be calculated on the basis of equivalency from universities that use a different scale.
• As evidence of the ability to undertake doctoral work, an essay (not exceeding 1000 words) indicating, as specifically as possible, the student’s academic and professional goals in relation to the Telecommunications doctoral program and identifying potential areas and/or topics in which the student expects to pursue dissertation research.
• At least three references from persons in the professional and academic communities. The faculty may, on occasion, require additional references.
• Evidence of academic completion of:
• Two different scientific computer programming languages, 
• Introductory class in probability and statistics 
• Differential and integral calculus 

In addition, a candidate may elect to include the following optional material: 

• A complete curriculum vitae that provides an overview of education, work, publication, and other professional activities.
• An example of published writing.
• A description of any published or unpublished research, contributions to the professional or scholarly literature, and other professional or academic experience relevant to an assessment of his or her capacity to pursue doctoral study successfully.

Students whose complete credentials are not available for full admission may register as special students until the completed credentials are received, provided all other requirements have been satisfied. Students with deficiencies in either coursework or scholastic achievement may be admitted provisionally. Prerequisite courses should be completed within the first two terms.

For International Applicants : Graduate students must possess sufficient knowledge of English to participate successfully in graduate study. International applicants must submit either the TOEFL, Duolingo, or the IELTS (taken within two years of the date of application) with appropriate scores. Please see  this page  for details. If you are currently working on or have received a bachelor’s or master’s degree in the U.S. and your native language is not English, the TOEFL/IELTS/Duolingo test requirement may be waived by program. Please see  this page  for details.

The application consists of the standard SCI admission forms along with the following materials:

• Objective in pursuing a PhD in intelligent systems.
• Theoretical background in relevant areas.
• Background in relevant tools and applications, particularly programming languages, including your level of proficiency.
• Relevant practical experience, including industrial or commercial experience.
• Recommendations provided by three persons familiar with your accomplishments. At least one should be familiar with the field of intelligent systems.
• Official transcripts of all previous undergraduate and graduate study.
• Graduate Record Examination (GRE) will no longer be required for admission to the PhD degrees studies in the Intelligent Systems Program (ISP) starting Fall 2022. Applicants may still submit GRE scores, and they will be used in the review process if they are submitted.
• For applicants who are not native speakers of English , TOEFL scores are required. All students need to submit a TOEFL – or the International English Language Testing System (IELTS) or Duolingo English Test are also accepted. For a listing of TOEFL and IELTS minimum scores, visit our Graduate Admissions FAQ .

Applicants interested in Biomedical Informatics

Applicants to the Biomedical Informatics track of the Intelligent Systems Program must specifically indicate their interest in this track on their application to the Intelligent Systems Program. Applicants interested in Biomedical Informatics might also consider the School of Medicine’s Biomedical Informatics Training Program .

The following are requirements for admission to the PhD in LIS Program:

• Official transcripts from bachelor’s and/or master’s study.
• Attainment in previous degrees of a preferred minimum of 3.00 average GPA (on a scale with A having a value of 4 points per credit). An international student’s quality point average will be calculated on the basis of equivalency from universities that use a different scale.
• Participation in an interview (in person, by telephone or via video conference), after an initial screening of their application materials.
• Submission of an application fee.

The Department of Information Culture and Data Stewardship welcomes applicants with bachelor’s degree and/or advanced degrees from diverse disciplinary backgrounds. Applications from prospective students are reviewed by the ICDS Committee on Doctoral Studies. Students who are applying for financial aid should be aware that they must be admitted and meet financial aid deadlines to ensure consideration for funding.

Supporting Documents for Admission

As evidence of the ability to undertake doctoral work, the student’s application must be accompanied by:

• Your academic and professional goals in relation to the Library and Information Science doctoral program.  What’s motivating your decision to pursue a graduate degree?
• Potential areas and/or topics in which you expect to pursue dissertation research.  Which research interests you and why?
• Describe prior research experieces, coursework, and/or projects that have prepared you for doctoral research.  Please explain the status of any published or unpublished research, thesis, code, visualizations, or other projects or contributions to the professional or scholarly literature, and other professional, community, or academic experience relevant to an assessment of your capacity to pursue research successfully.
• Identify one or more ICDS faculty members with whom you want to work and why you have identified these faculty as potential advisors.
• Optional: Feel free to describe the full range of experiences, whether educational, professional, social, cultural, or familial—whether oppertunities or challenges—that have contributed substantially to your decision to pursue a graduate degree.
• Current curriculum vitae : A curriculum vitae that provides an overview of education, publications, work, and other activities.
• Example of scholarly or professional project : One sample of scholarly researchm professional or academic writing,or a project.  Examples are a published article, grant proposal, undergraduate or masters thesis, conference presentation, community engagement work, code, visualizations, or professional, community, or academic project.  Please include a statement of context or description, including details on your contribution if the work is collaborative in nature.
• Letters of reference : At least three references from persons in the academic and professional communities.  The ICDS Committee on Doctoral Studies may, on occasion, require additional references.

For International Applicants : Graduate students must possess sufficient knowledge of English to participate successfully in graduate study. International applicants must submit either the TOEFL, Duolingo, or the IELTS (taken within two years of the date of application) with appropriate scores. Please see  this page  for details.

If you are currently working on or have received a bachelor’s or master’s degree in the U.S. and your native language is not English, the TOEFL/IELTS/Duolingo test requirement may be waived by program. Please see  this page  for details.

Credentials of prospective students are reviewed by the ICDS Committee on Doctoral Studies.

Students who are applying for financial aid deadlines to ensure consideration for funding.

Beyond the criteria and materials previously outlined for application submission, this program does not require specific coursework for admissions consideration.

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Graduate Programs

The Department of Mathematics offers programs leading to Master of Arts, Master of Science, and Doctor of Philosophy degrees in the mathematical sciences. The benefits of graduate study in mathematics at the University of Pittsburgh include the following.

• Ample opportunity to attain scientific excellence by working with an active and broad-based research faculty in diverse areas of pure and applied mathematics.
• Numerous opportunities for leading-edge applied and interdisciplinary research via institutional links to the Center for the Neural Basis of Cognition, the Pittsburgh Supercomputer Center, the Bechtel-Bettis DOE research lab, the Institute for Mathematics and its Applications, and a full complement of science, engineering, and medical school departments.
• Attractive  financial aid  packages for PhD students, including teaching assistantships, research assistantships, and fellowships.
• Access to a full complement of state-of-the-art computing resources.
• Participation in the  cultural, artistic, and intellectual  community of a major liberal arts university. Graduate students have the opportunity to interact with national and international leaders in many areas of engineering, science, and the arts.
• A  metropolitan setting . The Department of Mathematics is on the 132-acre Pittsburgh campus in Oakland. Many of Pittsburgh’s cultural attractions, including museums and botanical gardens, are an easy walk from the department.
• A vibrant  neighborhood life and low cost of living . There are many options for economical housing in safe and interesting neighborhoods close to the  University .

Admissions and Financial Aid

View admissions and financial aid information for graduate students.

Approximately 35 courses that constitute the department's regular graduate curriculum are offered either annually or biennially. They are supplemented by an ongoing sequence of special-topic courses reflecting research interests of the faculty.

Find information on our three graduate degree programs .

Find a listing of recent graduates from the Department of Mathematics.

View our  Graduate Handbook .

View organizations associated with the Department of Mathematics.

Graduate students are afforded the opportunity to focus their studies in a chosen area of mathematics and to participate in the exciting enterprise of conducting original research .

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Epidemiology PhD Program

This program provides students with an advanced level of academic preparation to conduct research, teach, and mentor students. This includes concentrated training in epidemiological concepts and methodology and the completion of a research-based dissertation. Due to the wide range of ongoing faculty research within the department, students have the ability to select an  area of emphasis  on which to focus and to conduct research under the mentorship of an epidemiology faculty member. 

Please note that the Epidemiology PhD program can be adapted to have an applied focus. Through elective coursework, internship opportunities, and the dissertation, PhD candidates can obtain the essential skills required for public health practice.

Requirements

• 72 credits, about half coursework and half research
• Coursework in epidemiology, statistics, and statistical packages
• Coursework in public health foundations and research ethics
• Advanced coursework in clinical trials and grant writing
• Teaching assistant experience
• Advanced dissertation research and coursework in an area of specialization

Find full program information within the Student Handbook and Forms .

Recent Dissertation Titles

Browse titles in D-Scholarship , the institutional repository for research output at the University of Pittsburgh.

Competencies

Graduates will be able to...

• Identify, evaluate and synthesize key studies in the scientific literature for a given topic area
• Develop a research proposal suitable for funding
• Apply quantitative and critical thinking skills to analyze longitudinal data in epidemiologic studies
• Conduct epidemiological data analysis in a relevant topic area

Our doctoral graduates pursue a variety of careers in academia, the public and private sector. recent graduates’ positions  

Doctoral Program Contacts

Tina Costacou, PhD Associate Professor and Director of the Doctoral Degree Programs 5125 Public Health 412-383-1302 [email protected] Amy Rhodes Director of Student Services 5116 Public Health 412-624-3060 [email protected]

MD/PhD Joint Degree

Through the Medical Scientist Training Program (MSTP) students undertake a physician-scientist training tailored to their specific research interests, spending an initial two years in University of Pittsburgh School of Medicine, followed by three years of research at  Pitt Public Health, and a final two years of medical training.

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PhD in Statistics at the prestigious University of Pittsburgh is a prestigious degree that offers in-depth learning in Statistics. Being a renowned university, University of Pittsburgh receives enough funds to ensure the best education facilities for its students across all programs. This doctorate program offered full-time primarily focuses on the practical implementation of fresh ideas through rigorous study and research. The students are encouraged to add new aspects and findings to the existing area of knowledge. PhD in Statistics at Pitt is ranked globally by estimated organisations. Such recognition speaks volumes about the course’s importance and effectiveness in the present scenario. The top-notch faculty, modern facilities, and the aura of creativity and innovation in the Pitt campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers. Overall, a PhD in Statistics at University of Pittsburgh is an excellent opportunity to grow into a learned professional and bring new developments in the world.

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