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Master of Science degree program in Data Science
Michigan State University's MS degree in Data Science (MSDS) is a new cross-disciplinary, cutting-edge professional MS degree program shared by the College of Engineering and the College of Natural Science. It is a collaboration among three departments: the Department of Computational Mathematics, Science, and Engineering (CMSE), the Department of Computer Science and Engineering (CSE), and the Department of Statistics and Probability (STT).
The MSDS is officially sanctioned by MSU, and has been approved by the State of Michigan. The current admissions cycle will be for the Fall 2024 semester. The priority deadline for applying for the program is January 15, 2024, although the program will be accepting applications on a rolling basis after that date. Potential applicants can start their application through MSU's admissions portal at https://admissions.msu.edu/. For any questions about the program, please email us at MSDS.Info@msu.edu
Information Session:
Please click here to view the 2023 Information Session.
Dr. Paul Speaker, the director of the MSDS program, goes in depth about the Master's in Data Science program and answers some frequently asked questions at the end of the session.
News:
The inaugural Capstone presentations took place on December 7, 2023. Please click here to view the article.
About Data Science and the MSDS program:
The MSDS prepares professional students for the demands of tomorrow's workplace in data-driven decision making. Data science is an emerging interdisciplinary field whose purpose is the extraction of actionable insights from data. It employs theories and techniques from the core areas of statistics, computational mathematics, computer science, and information science. Our MSDS provides high-quality training in state-of-the-art data analysis and computational methods. We include coverage of the principles which underlie data science, encouraging students to understand not simply how to implement existing methods, but also why they work, when to use them appropriately, and when and how to develop novel methods tailored to new situations in any industry.
To receive more information about our program, please email us at MSDS.Info@msu.edu.