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Graduate Certificate

Graduate Certificate in Computational Modeling

Michigan State University College of Engineering 35 courses 9 total credits

About This Program

Graduate Certificate in Computational Modeling is a Graduate Certificate program offered by College of Engineering at Michigan State University, requiring 9 credits across 35 courses.

Degree Requirements

Total Credits 9 credits

One or more additional courses selected from the following

Courses used to fulfill requirement 1. may not be used to fulfill this requirement. Additional courses at the 400-level or above may be used to fulfill this requirement if approved by the CMSE graduate advisor. Students must have a minimum 3.0 grade-point average in courses applied to the certificate in order for it to be awarded.

Code Course Title Credits
AST 911 Numerical Techniques in Astronomy 2
CEM 883 Computational Quantum Chemistry 3
CEM 888 Computational Chemistry 3
CMSE 801 Introduction to Computational Modeling and Data Analysis 3
CMSE 802 Methods in Computational Modeling 3
CMSE 820 Mathematical Foundations of Data Science 3
CMSE 821 Numerical Methods for Differential Equations 3
CMSE 822 Parallel Computing 3
CMSE 823 Numerical Linear Algebra 3
CSE 836 Probabilistic Models and Algorithms in Computational Biology 3
CSE 845 Multi-disciplinary Research Methods for the Study of Evolution 3
CSE 881 Data Mining 3
ECE 837 Computational Methods in Electromagnetics 3
ME 835 Turbulence Modeling and Simulation 3
ME 840 Computational Fluid Dynamics and Heat Transfer 3
ME 872 Finite Element Method 3
MTH 451 Numerical Analysis I 3
MTH 452 Numerical Analysis II 3
MTH 850 Numerical Analysis I 3
MTH 851 Numerical Analysis II 3
MTH 852 Numerical Methods for Ordinary Differential Equations 3
MTH 950 Numerical Methods for Partial Differential Equations I 3
MTH 951 Numerical Methods for Partial Differential Equations II 3
MTH 995 Special Topics in Numerical Analysis and Operations Research 3-6
PHY 480 Computational Physics 3
PHY 915 Computational Condensed Matter Physics 2
PHY 919 Modern Electronic Structure Theory 2
PHY 950 Data Analysis Methods for High-Energy and Nuclear Physics 2
PHY 998 High Performance Computing and Computational Tools for Nuclear Physics 2
PLB 810 Theories and Practices in Bioinformatics 3
QB 826 Introduction to Quantitative Biology Techniques 1
STT 461 Computations in Probability and Statistics 3
STT 465 Bayesian Statistical Methods 3
STT 802 Statistical Computation 3
STT 874 Introduction to Bayesian Analysis 3

Click a course code or title to read the full course description.

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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