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Computational engineers help corporate, educational and government entities maximize production and efficiency by using complex software to code data that simulates real-world environments. The University's state and national constituents look at MSU's HPC² supercomputing capability and the computational engineering research it supports as engines of economic growth and scientific advancement.

CME graduates are expected to show expertise in three areas of emphasis:

  1. High performance computing - for instance background knowledge in parallel computing architectures, and designing parallel algorithms
  2. Numerical mathematics - a good grasp of numerical analysis and numerical solutions of ODEs and PDEs is required
  3. A computational engineering application area. Examples include, but are not limited to: Computational Fluid Dynamics (CFD), Computational Solid Mechanics (CSM), Computational materials engineering, Fluid-structure interactions including blast simulations, multi-scale material modeling, multi-objective design optimization (MDO).

The CME curriculum is customized to the needs of each individual student. The Program of Study for each student is finalized with the assistance of the CME Coordinator and the student's major professor.