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Data Science MS

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Contact Data Science Admissions

Ty Smith Data Science masters advisor
Ty Smith

Masters Program Coordinator

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Tailen Hsing

Graduate Chair

Why get your MS in Data Science at Michigan?

This unique collaborative program brings together expertise from four key disciplines at the university in a curriculum that is at the forefront of data science.

Science skills, such as those taught by the Computer Science and Engineering Division and the School of Information. This program aims to train well-rounded data scientists who have the skills to work with a variety of problems involving large-scale data common in the modern world. The focus of the curriculum is computational tools and statistical analysis as well as hands-on experience.

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Data Science students poster session

What can you do with an MS in Data Science?  

The field of data science offers excellent career paths ranging from business analysts across a variety of industries to novel IT careers to working on scientific research teams. 

With an MS in Data Science all students will be able to: identify relevant datasets, apply the appropriate statistical and computational tools to the dataset to answer questions posed by individuals, organizations, or governmental agencies, design and evaluate analytical procedures appropriate to the data, and implement these efficiently over large heterogeneous data sets in a multi-computer environment.

Data science computer servers at U-M
students interacting with a computer

Courses Offered

Individualized plans of study will be developed by students in consultation with an advisor. See the Bulletin for a full listing of courses and descriptions.

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Practice your purpose

There is a rich variety of experiential learning opportunities to help you find your niche, connect with people who share your passion, and gain hands-on experience that’ll set your resumé apart from the stack.

Graduate Student Organizations

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Computer Science and Engineering Graduate Student Organization (CSEG)

Computer Science and Engineering Graduate Student Organization (CSEG)

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Ensemble of Computer Science and Engineering Ladies

Ensemble of Computer Science and Engineering Ladies

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Professional Development

Michigan Engineering career fair interaction
LSA Career Fair

LSA Career Fair

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Career fair on north campus
Engineering Career Resource Center (ECRC)

Engineering Career Resource Center (ECRC)

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Tau Beta Pi

Tau Beta Pi

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Society of Women Engineers (SWE)

Society of Women Engineers (SWE)

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Data Science Research

Michigan Institute for Data Science logo
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School of Information

School of Information

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Industries & Occupations

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  • Software Industry
  • Federal Government
  • Internet-based companies
  • On-demand service companies
  • Business Consulting and Management
  • Financial Institutions
  • Data Analysis
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data with a design over the top
  • Amazon
  • Apple
  • ARM
  • AT&T
  • Bloomberg
  • BMW Technology Corporation
  • Cisco Systems
  • Citi
  • Coding It Forward
  • Disney
  • Electronic Arts
  • Facebook
  • Ford Motor Company
  • Geomagical Labs
  • Google
  • Hewlett Packard Enterprise
  • Hulu
  • IBM
  • Intel
  • JP Morgan Chase
  • Lockheed Martin
  • Microsoft
  • Motorola Solutions
  • National Instruments
  • Nest Labs, Inc.
  • Oracle
  • Qualcomm
  • Samsung
  • Sprint
  • Toyota
  • Twilio
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U-M Data Science building


Discover the value of a master’s degree!  On average, U-M graduates with a master’s degree in an engineering field can earn 15-25% more than those with a bachelor’s degree in engineering.  Use the links below to research average salaries based on a U-M engineering master’s degree, experience level, and desired work location.