The Graduate Certificate in Computational Discovery and Engineering trains participants to conduct computationally intensive research, and prepares them to function effectively in interdisciplinary research and product development settings that employ high-performance computing.
Advances in computational algorithms and HPC hardware have transformed CDE into a predictive science that yields quantitative insights into the behavior of realistic systems. CDE is now a fundamental tool in scientific research and modern design and manufacturing practices. The Graduate Certificate in CDE recognizes students’ competence in this field, and prepares them for success in the following areas, among others:
- aerospace engineering
- material physics and biophysics
- biomedical engineering
- material science
- data mining
- parallel computing
- nuclear engineering
- electronic and communication engineering
- structural engineering
- climate and space science modeling
- industrial and operations engineering.
The program is open to all academic units and all students pursuing M.S. or Ph.D. degrees at the University of Michigan. Academic requirements include coursework in approved classes, an experiential component such as internships, and attendance at MICDE events. Master students have the opportunity to participate in the Multidisciplinary Design Program.