University of Chicago campus

Engineering

PhD Data Science at University of Chicago

University of Chicago, United States

Programme overview

The PhD in Data Science trains students in mathematical foundations of data science, responsible data use and communication, and advanced computational methods, alongside the research interests of data science faculty. It is delivered in-person at the Hyde Park campus, and students can earn an MS along the way.

Faculty: Physical Sciences Division, Committee on Data Science  |  Department: Committee on Data Science  |  Duration: About 5 years  |  Intake: Autumn (fall quarter only)  |  Study mode: full-time  |  Location: Chicago, IL, United States

What you will study

The standard first year is 9 courses: 4 required classes (Data Interaction, Data Systems & Data Design, Responsible Use of Data and Algorithms, Foundations of Machine Learning & AI), one course in mathematical foundations or scalability and computing, and 4 graduate electives. Students then complete a synthesis project by the end of year two, form a thesis committee by year three, present a proposal for candidacy and defend a dissertation.

Official programme page

Application information

Entry requirements

Programme-specific: online application with Data Science Supplement (up to three research interest areas and three potential faculty advisors), transcripts, candidate statement, resume/CV and three letters of recommendation. GRE/GMAT not required (optional; GRE valid within 5 years). International applicants not meeting waiver criteria need TOEFL minimum 90 or IELTS 7 overall. Application fee $90. Autumn 2027 deadline: December 16, 2026.

Intake: Autumn (fall quarter only)

Duration: About 5 years

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