Graduate Certificate

The Graduate Certificate in High-Performance Computing is intended for students with interest in applying computational and data science approaches that require parallel and/or high-performance computing to their research problems, or who generally desire broad training in parallel computational methodology.

Requirements for the Graduate Certificate in High-Performance Computing

Students must complete a minimum of 9 credits from the following:

1.	The following core course (3 credits):
	CMSE	822	Parallel Computing						3
2.	Two or more additional courses selected from the following:
	AST	911	Numerical Techniques in Astronomy						2
	CEM	883	Computational Quantum Chemistry						3
	CEM	888	Computational Chemistry						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	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 to 6
	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	802	Statistical Computation						3
	STT	874	Introduction to Bayesian Analysis						3
	Additional courses at the 800-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.