Minor in CMSE

 

The Minor in Computational Mathematics, Science, and Engineering complements a student's major by providing a strong background in computational modeling of a variety of systems using a broad range of computational techniques, data analysis and visualization, 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 CMSE Undergraduate Director if they have any questions.

You can declare the CMSE minor by contacting the College of Natural Science Office of Undergraduate Academic Student Affairs (either Carolyn Sekedat at sekedat@msu.edu, or Elizabeth Reid at reideli1@msu.edu) with a request to add the minor to your student record.  You will likely have to give them your PID and MSU netid.  At the point of graduation,you will apply to graduate with the minor, which the Department of CMSE will then approve if you have met all the requirements.

Minor requirements

As described in the Academic Programs Catalog, students pursuing the Minor in Computational Mathematics, Science and Engineering must complete a minimum of 17 credits from the following two categories:

  1. Both of the following courses (8 credits):
    • CMSE 201, Introduction to Computational Modeling (4 credits)
    • CMSE 202, Computational Modeling Tools and Techniques (4 credits)
  2. A minimum of 9 credits from the following courses:
    • CEM 481, Seminar in Computational Chemistry (3 credits)
    • CMSE 401, Methods for Parallel Computing (4 credits)
    • CMSE 402, Visualization of Scientific Datasets (3 credits)
    • CSE 232, Introduction to Programming II (4 credits)
    • MTH 451, Numerical Analysis I (3 credits)
    • MTH 452, Numerical Analysis II (3 credits)
    • PHY 480, Computational Physics (3 credits)
    • PLB 400, Introduction to Bioinformatics (3 credits)
    • STT 301, Computational Methods for Data Science (3 credits)
    • STT 461, Computations in Probability and Statistics (3 credits)
    • STT 465, Bayesian Statistical Methods (3 credits)

Additional courses may be used with approval of the CMSE Undergraduate Director. 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, but only with approval from the CMSE Undergraduate Director prior to having taken the course in question.