Undergraduate Minor - Minor in Data Science

Program:
Minor in Data Science
Program Code:
7157 Data Science
Program Level:
Undergraduate
Award Type:
Minor Undergraduate
Start Term:
FS19
Department:


Excerpt from the official Academic Programs Catalog:

Listed below are the approved requirements for the program from the official Academic Programs Catalog.
Students must consult their advisors to learn which specific requirements apply to their degree programs.
Following this section are the requirements as represented in Degree Navigator, MSU's online advising tool. The Degree Navigator section is only available for programs using Degree Navigator for degree certification.

College of Natural Science

Department of Computational Mathematics, Science and Engineering

Undergraduate Programs
Minor in Data Science

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