Undergraduate Minor

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.