Fall 2021 information sessions on graduate programs in computational and data sciences at U-M
U-M graduate students interested in computational and data sciences are invited to learn about joint programs that will prepare them for success in computationally intensive fields. The programs are organized by the Michigan Institute for Computational Discovery & Engineering, and the Michigan Institute for Data Science. Both institutes offer vast training and networking opportunities, including webinar series, symposia and student centered events.
Two sessions are scheduled
- Wed., September 29, 2021 at noon E.D.T. VIRTUAL information session, with a short presentation and breakout rooms at the end to ask questions to the program directors
- Thurs., September 30, 2021 at 3:00 p.m. E.D.T IN PERSON, OUTDOOR session with information tables where students can ask questions directly to faculty and staff program managers in person. Also featured at this event will be the Advanced Research Computing team with information on computing resources and consulting services available to U-M students.
The sessions will address:
The Graduate Certificate in Computational Discovery and Engineering: trains students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments.
The Graduate Certificate in Data Science: focuses on developing core proficiencies in data analytics: modeling, technology and practice.
The Graduate Certificate in Computational Neuroscience: provides training in interdisciplinary computational neuroscience to students in experimental neuroscience programs, and to students in quantitative science programs, such as physics, biophysics, mathematics and engineering.
The Ph.D. in Scientific Computing: open to all Ph.D. students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their studies. It is a joint degree program, with students earning a Ph.D. from their current departments, “… and Scientific Computing” — for example, “Ph.D. in Aerospace Engineering and Scientific Computing.”