MICDE Graduate Programs
Expertise in computational research methods is crucial to success in a wide range of fields. The University of Michigan offers three graduate-level programs aimed at preparing students to excel in computationally intensive environments in both academy and industry.
- The Ph.D. in Scientific Computing is intended for students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies.
- The Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments.
- The Graduate Certificate in Computational Neuroscience provides training in interdisciplinary computational neuroscience to graduate students in experimental neuroscience programs and to graduate students in quantitative science programs, such as physics, biophysics, mathematics and engineering. The curriculum includes required core computational neuroscience courses and coursework outside of the student’s home department research focus, i.e. quantitative coursework for students in experimental programs, and neuroscience coursework for students in quantitative programs.
All the students in either program have access to a CAEN account, that gives more options to connect and use U-M High Performance Computing resources, regardless of affiliation. If you would like to set up yours, or use it, please contact us at email@example.com.
We organize informational sessions at the beginning of each term. The slides from the January 2019 info sessions can be found in this link.
Please note the following enrollment deadlines:
- To be considered for enrollment in Fall, students will need to apply by August 1st
- To be considered for enrollment in Winter, students will need to apply by December 1st
(So, for example, if you want to graduate in Winter 2018, you must apply by December 1, 2017.)