MS Data Science at University of Chicago

Programme overview

The MS in Data Science is designed for students interested in a research career in data science, with courses taught by faculty from Data Science, Statistics, Computer Science and other departments. It is delivered fully in-person at the Hyde Park campus and is STEM/OPT approved.

Faculty: Physical Sciences Division, Committee on Data Science | Department: Committee on Data Science | Duration: 9 months to 2 years depending on individual plan of study | Intake: Autumn (fall quarter only) | Study mode: full-time | Location: Chicago, IL, United States

What you will study

Students complete 5 required core classes (Introduction to Data Science, Data Interaction, Data Systems or Data Engineering, Responsible Use of Data & Algorithms, and Machine Learning), 4 graduate electives from across the university, and a comprehensive final research project. Optional no-cost online foundational courses are offered before the programme begins.

Official programme page

Application information

Entry requirements

Programme-specific: no prerequisite courses are required, though transcripts are assessed for proficiency in linear algebra, statistics and calculus. Online application, transcripts for all prior coursework, 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 deadlines: November 2, 2026; February 1, 2027; May 3, 2027. Degree continuation requires cumulative GPA of 3.0 and 3.3 across core and elective courses.

Intake: Autumn (fall quarter only)

Duration: 9 months to 2 years depending on individual plan of study

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