The Minor in Data Science, which is administered by the Department of Computational Mathematics, Science, and Engineering, is designed to provide students with a strong background in data science using a broad range of computational techniques, practice in statistical thinking, as well as in-depth exposure to topics in data science.
The minor is available as an elective to students enrolled in bachelor’s degree programs at Michigan State University with the exception of the Bachelor of Science degree in Data Science and the Bachelor of Science Degree in Computational Data Science. With the approval of the department and college that administer the student’s degree program, the courses that are used to satisfy the minor may also be used to satisfy the requirements for the bachelor’s degree.
Students who plan to apply to the program should consult the undergraduate advisor in the Department of Computational Mathematics, Science, and Engineering.
Requirements for the Minor in Data Science
Complete a minimum of 23 credits from the following:
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| 1. |
All of the following courses (19 credits): |
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CMSE |
201 |
Introduction to Computational Modeling and Data Analysis |
4 |
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CMSE |
202 |
Computational Modeling Tools and Techniques |
4 |
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CMSE |
381 |
Fundamentals of Data Science Methods |
4 |
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MTH |
314 |
Matrix Algebra with Computational Applications |
3 |
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STT |
180 |
Introduction to Data Science |
4 |
| 2. |
One of the following groups (4 or 6 credits): |
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a. |
STT |
380 |
Probability and Statistics for Data Science |
4 |
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b. |
STT |
441 |
Probability and Statistics I: Probability |
3 |
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STT |
442 |
Probability and Statistics I: Statistics |
3 |