Minor in Data Science

The Minor in Data Science 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.

Students who plan to complete the requirements of the minor should email Kevin Miloshoff (miloshof@msu.edu).  Be sure to include your MSU NetID in this request!

Minor Requirements

Complete a minimum of 23 credits from the following:

1. Requirements (19 credits):
   • STT 180 Introduction to Data Science (4 credits)
   • CMSE 201 Introduction to Computational Modeling and Data Analysis (4 credits)
   • CMSE 202 Computational Modeling Tools and Techniques (4 credits)
   • CMSE 381 Fundamentals of Data Science Methods (4 credits)
   • MTH 314 Matrix Algebra with Computational Applications (3 credits)
2. One of the following groups (4 or 6 credits):
   • STT 380 Probability and Statistics for Data Science (4 credits)
   • STT 441 Probability and Statistics I: Probability AND STT 442 Probability and Statistics II: Statistics (6 total credits)

 

Grade and GPA Requirements

As per the university GPA and minimum grade requirements:

1.  You must achieve a minimum cumulative GPA of 2.0 in all courses contributing to the Data Science minor in order to receive the minor.
2. You must achieve a minimum grade of 1.0 for all courses contributing to the Data Science minor in order to receive the minor.