Computational & Data-Enabled Engineering (CDEE) Track
Computational methods have made a huge impact on the solution of science and engineering problems governed by the laws of mechanics. This track prepares the student for the field of computational and data science in mechanical engineering. Students will develop competency in the areas of applied mathematics, computational methods, and data science. Students are expected to augment their computational competency through domain specific technical electives in mechanical engineering.
Degree Requirements
Semesters with red font are courses that are offered every other year
| Course Details | Credits |
|---|---|
|
Required core courses Students must complete the following courses Choose one of the math courses from the following list:
Complete two courses from the following list:
|
9 credits |
|
CDEE Track Electives Choose two courses from the following list:
|
6 credits |
|
ME Technical Electives Students can choose any graduate-level ME courses aligned with their technical interests in consultation with their advisors |
6-15 credits |
|
Non-ME Technical Electives Students can take up to 9 credits from other engineering, math, and science programs. Advisor’s approval is needed. |
0-9 credits |
Total (minimum) |
30 credits |
- Full-time status requires registration for minimum 9 credit hours per semester. Students cannot register for more than 15 credit hours.
- All full-time students must register for the zero credit ME 2085 Graduate Seminar course