Info Sessions about Graduate Studies in Computational and Data Science at U-M
Students interested in computational and data science are invited to learn about complementary graduate programs that will prepare them for success in computationally intensive fields. Registration for these programs is on a rolling basis. Pizza and pop will be provided.
Two sessions are scheduled:
, , 2001 LSA Building (Central Campus)
, , Johnson Rooms, Lurie Engineering Center (North Campus)
The sessions will address:
- The Ph.D. in Scientific Computing, which is 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.”
- The Graduate Certificate in Computational Discovery and Engineering, which trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.
- The Graduate Certificate in Data Science, which is focused on developing core proficiencies in data analytics:
- 1) Modeling — Understanding of core data science principles, assumptions and applications;
- 2) Technology — Knowledge of basic protocols for data management, processing, computation, information extraction, and visualization;
- 3) Practice — Hands-on experience with real data, modeling tools, and technology resources.