Master's Program

We take the time to customize your curriculum by tailoring the course offerings to match your computational experience, foundation and future career goals. Actual programs of study are strongly influenced by each student's focus of research and background in the three areas of emphasis: high-performance computing, numerical mathematics and the engineering application area. Each program of study is customized to the needs of the individual student and is finalized with the assistance of the CME coordinator, the student's major professor and the student's graduate committee.

Please see the graduate catalog for additional details on total credit requirement for the Master of Science in Computational Engineering program.

Sample Programs of Study

The following programs of study are only for illustration purposes and show typical distribution of coursework in three areas of emphasis. These are not required coursework and can change depending on the background and focus of research of an individual student. Please note that online availability of courses depends on multiple factors and can vary each year.

M.S. - Thesis Option

Course Credits Title Notes
M.A. 8443 3 Numerical Solution of Partial Differential Equations I Numerical math
M.A. 8453 3 Numerical Solution of Partial Differential Equations II Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
CSE 6833 3 Introduction to Analysis of Algorithms High-performance computing
ASE 6423 3 Introduction to Computational Fluid Dynamics Application area
ASE 8413 3 Computational Fluid Dynamics I Application area
ASE 8423 3 Computational Fluid Dynamics II Application area
CME 8000 6 Thesis research
 
Total: 30 credits Tailored to a student with an Aerospace or Mechanical Engineering background, interested in Computational Fluid Dynamics

M.S. - Non-thesis Option

Course Credits Title Notes
M.A. 6313 3 Numerical Analysis I Numerical math
M.A. 6323 3 Numerical Analysis II Numerical math
M.A. 8363 3 Numerical Solution of Systems of Nonlinear Equations Numerical math
M.A. 8383 3 Numerical Solution of Ordinary Differential Equations I Numerical math
CSE 6753 3 Foundations in Computation High-performance computing
CSE 6163 3 Designing Parallel Algorithms High-performance computing
ECE 6713 3 Computer Architecture High-performance computing
CHE 8113 3 Advanced Chemical Engineering Thermodynamics Application area
CHE 8123 3 Chemical Kinetics and Dynamics Application area
CHE 8223 3 Advanced Process Computations Application area
CME 7000 3 Directed Individual Study Project
 
Total: 33 credits Tailored to a student with a Chemical Engineering background, interested in high-fidelity simulations of chemical processes