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Undergraduate Minor
Minor in Data Science
Program:
Minor in Data Science
Plan Code:
DATAS_MNUN
Program Level:
Undergraduate
Award Type:
Minor Undergraduate
College:
College of Natural Science
Department:
Computational Math, Science and Engineering CNS
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.
College of Natural Science
Department of Computational Mathematics, Science and Engineering
Undergraduate Programs
Minor in Data Science
View this text within the context of the catalog.
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
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