US holisticUnited States · Master’sResearched 0d ago

Data Science

University of Michigan

PortPath researches criteria from public sources and can be incomplete or out of date. Always verify against the program’s official announcement before relying on it. PortPath never predicts admission chances.

Overview

The M.S. in Data Science at the University of Michigan is reviewed holistically through the Statistics Department/Rackham process. The program emphasizes prior quantitative preparation and the statement of purpose; it does not list a portfolio requirement, and GRE is no longer required.

Admission criteria

PortfolioLow

No portfolio or work-sample requirement is listed in the application materials, so this dimension is not used in admission review.

Bar to clear: Not used by this program

Statement of PurposeHigh

Used to explain your background, motivation for studying data science at Michigan, and career goals; the committee asks for a clear written case for fit and preparation.

Bar to clear: Statement of Purpose required, 250-300 words

Academics & GPAHigh

The program reviews transcripts holistically and looks for strong preparation in calculus, linear algebra, and introductory computing; there is no formal GPA cutoff listed.

Bar to clear: No formal GPA requirement; 2 semesters calculus, 1 linear algebra, 1 computing course

Test scoresMedium

GRE is not required and is only minor/supporting if submitted; non-native English speakers must demonstrate English proficiency unless exempt.

Bar to clear: No GRE required; English proficiency test required unless exempt