Master of Applied Data Science (MADS) at University of Michigan-Ann Arbor

Programme overview

The fully online Master of Applied Data Science teaches the full data science life cycle, including AI and machine learning, through projects that mirror real workflows. Students build an end-to-end portfolio.

Faculty: School of Information | Duration: 1-3 years (38 credits) | Intake: Fall, Winter, Spring/Summer | Study mode: online | Location: Ann Arbor, MI, United States

What you will study

38 credits taught online by U-M faculty from information science, computer science, AI and statistics plus industry experts. Students entering with advanced Python skills can receive 4 credits of advanced standing.

Career pathways

Reported average salary overall is $125K and average first salary in data science is $111K (2023-2025); 15-20% received a promotion in their existing role.

Official programme page

Application information

Entry requirements

Bachelor's degree (four-year or international equivalent) from an accredited institution; basic proficiency in Python (placement test after admission); official TOEFL or IELTS taken within two years unless native English speaker, degree completed entirely in English-medium instruction, or current U-M student. No GRE, no application fee, no essays and no letters of recommendation. Deadlines: fall July 15, winter November 15, spring/summer March 15; priority deadline October 1, 2026 for scholarship consideration.

Domestic applicants: USD 46,284 for the whole programme (2026-2027). Estimated total for 38 credits at $1,218 per credit, in-state Source

International applicants: USD 61,712 for the whole programme (2026-2027). Estimated total for 38 credits at $1,624 per credit, out-of-state Source

Intake: Fall, Winter, Spring/Summer

Duration: 1-3 years (38 credits)

Apply through the official page: https://www.si.umich.edu/programs

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