Academic Programs Catalog

College of Natural Science

Department of Computational Mathematics, Science and Engineering

Undergraduate Program
Minor in Computational Mathematics, Science, and Engineering

The Minor in Computational Mathematics, Science, and Engineering complements a students’ major by providing a strong background in computational modeling of a variety of systems using a broad range of computational techniques, functional and object-oriented computer programming, practice in computational thinking, as well as in-depth exposure to some subset of discipline-focused or methodology-focused topics in computational and or data science.

The minor is available as an elective to students who are enrolled in bachelor’s degree programs at Michigan State University. 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 complete the requirements of the minor should consult the undergraduate advisor in the Department of Computational Mathematics, Science, and Engineering.

Requirements for the Minor in Computational Mathematics, Science, and Engineering

Complete 17 credits from the following: 

1. Both of the following courses (8 credits):
CMSE 201 Introduction to Computational Modeling 4
CMSE 202 Computational Modeling Tools and Techniques 4
2. Complete a minimum of 9 credits from the following courses:
CEM 481 Seminar in Computational Chemistry 3
CMSE 401 Methods for Parallel Computing 4
CMSE 402 Visualization of Scientific Datasets 3
CSE 232 Introduction to Programming II 4
MTH 451 Numerical Analysis I 3
MTH 452 Numerical Analysis II 3
PHY 480 Computational Physics 3
PLB 400 Introduction to Bioinformatics 3
STT 301 Computational Methods for Data Science 3
STT 461 Computations in Probability and Statistics 3
STT 465 Bayesian Statistical Methods 3
Additional courses may be used with approval the program advisor. Any CMSE 300-400 level courses including special topics and independent study courses will receive automatic approval. Courses outside of CMSE with a strong focus on the applications of computational methods or on discipline-related computational techniques will be considered.