Overview

This program is intended for students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their doctoral studies. A firm knowledge of the scientific discipline is essential.

This is not a stand-alone degree; it is a joint degree program. Students must be accepted into the PhD program of a home department. The actual degree name will have “…and Scientific Computing” appended to the the normal title, e.g., “Ph.D. Degree in Aerospace Engineering and Scientific Computing.”

Students may apply to the program after having completed one term, but prior to being promoted to candidacy status.

Program Requirements

Students are expected to complete the normal doctoral requirements of their home department as well as meet additional requirements in the area of scientific computation. The specific requirements will vary with the choice of home department; however, there are a few general course requirements for all students in this program. The student must elect:

  • nine (9) credit hours in numerical analysis, and
  • nine (9) credit hours in computer science and applications in scientific computation outside the home department.

The latter category will typically include courses in computer science, parallel algorithms, advanced computer architectures, computational fluid dynamics, or other courses in scientific computation not offered by the home department. Students are expected to work closely with their advisors, who will help to determine their courses.

Recent Student Home Departments

Students in the scientific computing degree program come from many different home departments. This list is not exhaustive; rather it exemplifies the breadth of topics studied by U-M researchers, and continues to grow.

  • Aerospace Engineering
  • Applied Physics
  • Astronomy
  • Atmospheric, Oceanic and Space Science
  • Biomedical Engineering
  • Chemical Engineering
  • Civil and Environmental Engineering
  • Ecology and Evolutionary Biology
  • Electrical Engineering and Computer Science
  • Industrial & Operations Engineering
  • Geology
  • Mathematics
  • Mechanical Engineering
  • Naval Architecture and Marine Engineering
  • Nuclear Engineering and Radiological Sciences
  • Pharmacy
  • Physics
  • Political Sciences
  • Statistics