Undergraduate Minor

Minor in Computational Mathematics, Science, and Engineering

Program:
Minor in Computational Mathematics, Science, and Engineering
Plan Code:
CMTHS_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 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 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 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 Computational Modeling and Data Analysis I 4
CMSE 202 Computational Modeling and Data Analysis II 4
2. Complete a minimum of 9 credits from the following courses:
CMSE 401 Methods for Parallel Computing 4
CMSE 410 Bioinformatics and Computational Biology 3
CMSE 411 Computational Medcine 3
CMSE 402 Visualization of Scientific Datasets 3
CSE 232 Introduction to Programming II 4
CSE 404 Introduction to Machine Learning 3
CSE 415 Introduction to Parallel Computing 3
CSE 482 Big Data Analysis 3
MTH 314 Matrix Algebra with Computational Applications
MTH 451 Numerical Analysis I 3
MTH 452 Numerical Analysis II 3
PHY 480 Computational Physics 3
PLB 400 Introduction to Bioinformatics 3
STT 461 Computations in Probability and Statistics 3
STT 465 Bayesian Statistical Methods 3
Additional courses may be used with approval of the program advisor including additional CMSE 300-400 level courses. Courses outside of CMSE with a strong focus on the applications of computational methods or on discipline-related computational techniques will be considered.