Engineering
AB/BS Interdisciplinary Physics
University of Michigan-Ann Arbor, United States
- Degree
- Bachelor's
- Next intake
- Fall and Winter terms
Engineering
University of Michigan-Ann Arbor, United States
The MS in Data Science combines computer and information science with statistical science, with practice applying both to application domains. Every student receives balanced statistical and computational training, and there are no sub-plans or tracks.
Faculty: College of Literature, Science, and the Arts | Department: Department of Statistics | Duration: At least 25 graduate credit units | Study mode: full-time | Location: Ann Arbor, MI, United States
Pre-core courses (e.g. MATH/DATASCI 403, EECS 402, EECS 403, probability and inference), data management expertise (e.g. EECS 484), data science techniques (regression and machine learning), a capstone, and electives including at least two advanced graduate courses. At least 25 units of graduate coursework are required, 18 at advanced graduate level.
Expected background: 2 semesters of college calculus, 1 semester of linear or matrix algebra and 1 introductory computing course; a data science undergraduate major is not required. Applications go through Rackham Graduate School. Graduation requires a cumulative GPA of 3.0 or better.
Duration: At least 25 graduate credit units
Apply through the official page: https://rackham.umich.edu/admissions/applying/
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
Engineering
University of Michigan-Ann Arbor, United States
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