Data Science PhD Programs

A PhD in data science is a research-intensive degree that relies heavily on mathematics and computation to extract information from large data sets to make deductions or spot patterns and trends. 

Typically, a PhD in data science degree is interdisciplinary and is mainly offered as a part of a STEM program in computer science, engineering, mathematics, or statistics. A PhD in a specific data science-related area can be a good option for curious people who want to learn independently. 

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Featured Analytics Programs

The field of data science and data science careers can be found in almost every industry, and the role of a data scientist continues to grow and evolve.

The actual job of a data scientist looks different for different organizations, and there is much more to it than the knowledge of software tools and the domain in which it is applied. 

To be successful as a data scientist, you need to have the right kind of data to solve your problem, the ability to understand business problems and the skills to apply the right kind of process to solve the problem. These skills get honed with practice and experience. 

Before we get into more details about getting a PhD in data science, one thing to know is that it is not mandatory to get a PhD to get most data science-related jobs.

Whether to get a PhD or not in data science depends on the kind of data science roles you are pursuing. Check out the master’s in data science guide for more details.

However, some roles are more research-oriented or need niche expertise, such as natural language processing (NLP), linguistics, speech recognition, etc.

At times, these roles might need you to create and develop algorithms from scratch. This requires research experience, and a PhD becomes relevant to the role of a data scientist. 

Through a PhD, individuals learn many skills to prepare for the commercial and academic world. This includes code, formulating questions, researching, creating technical documents, and solving problems. 

Trending Research Areas in Data Science

Insights into the research trends that have been going on in data science can be seen from the proceedings of well-regarded research conferences. For curious people, we have listed below some of the research areas in the field of data science and artificial intelligence trending today:

• Big Data on the Cloud
• Use of Augmented Analytics
• Focus on Edge Intelligence
• Automation of Data Cleaning
• Responsible AI
• Data-centric AI
• Increase in Use of Natural Language Processing
• Generative AI for Deepfake and Synthetic Data

Best PhD in Data Science Programs for 2026

1. Worcester Polytechnic Institute

   Worcester, Massachusetts

   
   Program: PhD in Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $101,400
   2026 Cost per credit: $1,690
   Credits: 60
   GRE requirement: Not required
   Learn more: Program details

2. University of Pennsylvania

   Philadelphia, Pennsylvania

   
   Program: PhD program in Statistics and Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $44,772
   2026 Cost per credit: $861
   Credits: 52
   GRE requirement: Required
   Learn more: Program details

3. Stevens Institute of Technology

   Hoboken, New Jersey

   
   Program: Ph.D. in Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $91,980
   2026 Cost per credit: $1,095
   Credits: 84
   GRE requirement: Not required
   Learn more: Program details

4. Columbia University in the City of New York

   New York, New York

   
   Program: Ph.D. Specialization in Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $56,700
   2026 Cost per credit: $2,700
   Credits: 21
   GRE requirement: Not required
   Learn more: Program details

5. University of Delaware

   Newark, Delaware

   
   Program: Ph.D. in Bioinformatics Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $36,828
   2026 Cost per credit: $1,116
   Credits: 33
   GRE requirement: Required
   Learn more: Program details

6. Saint Peter's University

   Jersey City, New Jersey

   
   Program: Ph.D. in Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $69,650
   2026 Cost per credit: $995
   Credits: 70
   GRE requirement: Optional
   Learn more: Program details

7. University of Oklahoma-Norman Campus

   Norman, Oklahoma

   
   Program: Ph.D. program in Data Science and Analytics
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $18,045 in-state | $50,445 out-of-state
   2026 Cost per credit: $401 in-state | $1,121 out-of-state
   Credits: 45
   GRE requirement: Not required
   Learn more: Program details

8. University at Buffalo

   Buffalo, New York

   
   Program: Computational and Data Enabled Sciences PhD
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $22,608 in-state | $51,480 out-of-state
   2026 Cost per credit: $314 in-state | $715 out-of-state
   Credits: 72
   GRE requirement: Not required
   Learn more: Program details

9. Bowling Green State University-Main Campus

   Bowling Green, Ohio

   
   Program: Ph.D. in Data Science
   DASCA designation: No
   Delivery method: Campus
   Total tuition: $33,240 in-state | $53,220 out-of-state
   2026 Cost per credit: $554 in-state | $887 out-of-state
   Credits: 60
   GRE requirement: Not required
   Learn more: Program details

10. University of Virginia-Main Campus

    Charlottesville, Virginia

    
    Program: Doctor of Philosophy in Data Science
    DASCA designation: Yes
    Delivery method: Campus
    Total tuition: $50,280 in-state | $75,960 out-of-state
    2026 Cost per credit: $838 in-state | $1,266 out-of-state
    Credits: 60
    GRE requirement: Not required
    Learn more: Program details

11. Harrisburg University of Science and Technology

    Harrisburg, Pennsylvania

    
    Program: Data Sciences Ph.D.
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $34,380
    2026 Cost per credit: $955
    Credits: 36
    GRE requirement: Not required
    Learn more: Program details

12. South Dakota State University

    Brookings, South Dakota

    
    Program: Computational Science & Statistics (Ph.D.) - Data Science Specialization
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $21,000 in-state | $40,380 out-of-state
    2026 Cost per credit: $350 in-state | $673 out-of-state
    Credits: 60
    GRE requirement: Not required
    Learn more: Program details

13. Washington University in St Louis

    St. Louis, Missouri

    
    Program: Doctoral in Computational & Data Sciences
    DASCA designation: Yes
    Delivery method: Campus
    Total tuition: $133,704
    2026 Cost per credit: $1,857
    Credits: 72
    GRE requirement: Optional
    Learn more: Program details

14. Clemson University

    Clemson, South Carolina

    
    Program: Biomedical Data Science and Informatics, PhD
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $38,610 in-state | $81,445 out-of-state
    2026 Cost per credit: $594 in-state | $1,253 out-of-state
    Credits: 65
    GRE requirement: Required
    Learn more: Program details

15. University of Nevada-Reno

    Reno, Nevada

    
    Program: Ph.D. in Statistics and Data Science
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $46,368 in-state | $74,376 out-of-state
    2026 Cost per credit: $644 in-state | $1,033 out-of-state
    Credits: 72
    GRE requirement: Required
    Learn more: Program details

16. Chapman University

    Orange, California

    
    Program: Ph.D. in Computational and Data Sciences
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $141,750
    2026 Cost per credit: $2,025
    Credits: 70
    GRE requirement: Not required
    Learn more: Program details

17. Boston University

    Boston, Massachusetts

    
    Program: PhD in Computing & Data Sciences
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $139,728
    2026 Cost per credit: $2,911
    Credits: 48
    GRE requirement: Required
    Learn more: Program details

18. Indiana University-Indianapolis

    Indianapolis, Indiana

    
    Program: Data Science Ph.D.
    DASCA designation: Yes
    Delivery method: Campus
    Total tuition: $25,380 in-state | $70,680 out-of-state
    2026 Cost per credit: $423 in-state | $1,178 out-of-state
    Credits: 60
    GRE requirement: Required
    Learn more: Program details

19. New York University

    New York, New York

    
    Program: PhD in Data Science
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $181,800
    2026 Cost per credit: $2,525
    Credits: 72
    GRE requirement: Required
    Learn more: Program details

20. University of Vermont

    Burlington, Vermont

    
    Program: PhD in Complex Systems and Data Science
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $53,775 in-state | $14,1375 out-of-state
    2026 Cost per credit: $717 in-state | $1,885 out-of-state
    Credits: 75
    GRE requirement: Not required
    Learn more: Program details

21. New Jersey Institute of Technology

    Newark, New Jersey

    
    Program: Ph.D. in Data Science
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $113,328 in-state | $156,024 out-of-state
    2026 Cost per credit: $1,574 in-state | $2,167out-of-state
    Credits: 72
    GRE requirement: Required for students who have a GPA below 3.0
    Learn more: Program details

22. University of Arizona

    Tucson, Arizona

    
    Program: Ph.D. in Statistics & Data Science
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $67,208 in-state | $120,590 out-of-state
    2026 Cost per credit: $1,084 in-state | $1,945 out-of-state
    Credits: 62
    GRE requirement: Not required
    Learn more: Program details

23. The University of Tennessee-Knoxville

    Knoxville, Tennessee

    
    Program: Data Science and Engineering PhD
    DASCA designation: No
    Delivery method: Campus
    Total tuition: $54,576 in-state | $128,664 out-of-state
    2026 Cost per credit: $758 in-state | $1,787 out-of-state
    Credits: 72
    GRE requirement: Optional
    Learn more: Program details

24. University of Wisconsin-Madison

    Madison, Wisconsin

    
    Program: PhD in Biomedical Data Science
    DASCA designation: Yes
    Delivery method: Campus
    Total tuition: $45,650 in-state | $98,272 out-of-state
    2026 Cost per credit: $550 in-state |$1,184 out-of-state
    Credits: 83
    GRE requirement: Not required
    Learn more: Program details

25. National University

    San Diego, California

    
    Program: PhD in Data Science
    DASCA designation: No
    Delivery method: Online
    Total tuition: $62,340
    2026 Cost per credit: $1,039
    Credits: 60
    GRE requirement: Required
    Learn more: Program details

These rankings were compiled from data accessed in January 2026 from Integrated Post-Secondary Education Data System (IPEDS) and College Navigator (both services National Center for Education Statistics). Tuition data was pulled from individual university websites and is current as of January 2026. If available, we also use additional criteria such as accreditation or designations by outside organizations or agencies.

2025 Rankings

2024 Rankings

Data Science PhD Program Overview and Curriculum

Here is a walkthrough of what a journey into a PhD looks like from beginning to end:

Admission Process

In general, admission requirements for most of the institutions include:

• Undergraduate and graduate transcripts
• GRE scores (may or may not be optional)
• TOEFL (English as a foreign language test, which may or may not be optional)
• A statement of intent for the program (reason for applying and plans)
• Letters of reference from undergrad professors or work supervisors if already working.
• Application fee (may be waived or reduced)
• Online application
• A curriculum vitae or resume (outlining all of your academic and professional accomplishments)

Post-Admission Process

• Credit Requirements
  • Every PhD program requires a student to complete a minimum number of credits to fulfill eligibility criteria. These credits can be a test of your knowledge, either at a foundational or advanced level. 
• Pre-Candidacy Research Projects
  • Working on research projects over the first one or two years of the program will prepare you to frame the right questions, work on real-world data issues, and develop the necessary skill set required in the chosen data science-related topic.
• Qualifying Exam
  • A qualifying exam is mandatory for every PhD program. These exams are designed to assess the candidate’s ability to meet the prerequisite standards/eligibility criteria. The assessment analyzes theoretical and practical understanding of the subject needed/required to work on your research project.
• Teaching Experience
  • Teaching undergraduate classes provides you with opportunities and experiences that will set you up for a future in academia.
• Dissertation Proposal
  • The dissertation proposal contains the hypothesis of your research that should meet the standards of publications in data analytics. The committee/faculty members need to approve the proposal before any proceedings to work on it.
• Dissertation Defense
  • Students are expected to present their original work on the dissertation proposal. They are supposed to have expertise in their topic of dissertation. This is a crucial aspect of obtaining a doctoral degree in data science. It denotes that the student has mastered all of the necessary skills to undertake independent research that will contribute to the advancement of the field after completing their degree.
  • Besides credits and qualifying exams, attending or presenting your research work at conferences, seminars, conventions, and summits provides you with an opportunity to network and form connections to boost your career. PhD can be fun as well as stressful. You can consider this degree as a marathon race that requires you to focus while testing your endurance for four to five years and finally providing you with the experience of a lifetime.

Online PhD Data Science Degree Programs

An online version of a PhD program allows individuals who have other work or family responsibilities to continue their education, albeit taking away some opportunities to network in person and in traditional ways. Students should verify the authenticity of online PhD programs by validating the institution’s accreditation before deciding to enroll. 

Traditionally, not many universities have offered completely online data science PhD programs. Mainly this reflects the hands-on nature of the degree that requires teaching, collaboration, and research. 

However, due to the COVID-19 pandemic, many traditional education programs have shifted courses and learning opportunities to digital platforms.

Because of technological advances in the EdTech industry, universities are becoming more comfortable hosting online classes and communication whenever needed. This might mean that some data science PhD work can be done online or remotely.

The best practice would be to contact the PhD programs you are interested in and inquire about online options. It is also a good idea to reach out to professors that would act as PhD advisors and be sure that they are willing and able to support long-term online learning and research.

Most universities provide funding for PhD students and programs in stipends, research, and teaching assistantships. If your preferred choice of university does not provide funding, it is a good idea to look into external financial assistance such as scholarships and fellowships.

Prior admission tuition fees must be considered when enrolling in a PhD program.

Career Paths and Outcomes

A PhD in data science may be offered from different departments at the university, such as statistics, computer science, mathematics, business, or even medical sciences.

Due to the interdisciplinary nature of data science PhD programs, career tracks, and research opportunities are numerous and diverse.

Academic Outcomes

• Assistant Professor / Professor/Research Fellow
  • With a PhD, one can get hired in academia as a postdoctoral researcher or a fellow to advance their experience further. They can also begin their career as an associate professor in a university.

Industry Outcomes

• Data Scientist
  • A data scientist’s main focus or mission is to assist companies, organizations, and research efforts to resolve data-related problems. These problems range from user behavior to security risk factors and understanding consumer sentiment concerning the company’s products and services.
• Research Scientist/ Quantitative Researcher
  • A research scientist/quantitative researcher will be a part of the R&D team of the company or industry. A research scientist is responsible for developing hypotheses, conducting research, and building profitable business outcomes. A typical example would be handling a survey that identifies the latest trends and patterns of consumers’ lifestyle, income, and expenditures, then building/ improving a product or a service to generate profits.
• Chief Data Officer
  • A chief data officer is the head of the organization’s data operations. A CDO brings their expertise to lead strategies and the ability to create models that use data to transform business strategies. A typical day as a CDO involves formulating data governance and management frameworks. Other tasks revolve around building data warehouses as a central repository for all information within a corporation.

Frequently Asked Questions