Learn about graduate programs that will prepare you for success in computationally intensive fields, and enjoy some pizza. Presentations will describe the following programs:

  • The Ph.D. in Scientific Computing 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 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 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.

Monday, February 22, 5-6 p.m., Room 2001, LS&A Building, 500 State St. 

Tuesday, February 23, 5-6 p.m., EECS 1200, 1301 Beal Ave. 


  • Krishna Garikipati, Professor of Mechanical Engineering and Mathematics, and Associate Director for Research, Michigan Institute for Computational Discovery and Engineering.
  • Ivo Dinov, Associate Professor of Computational Medicine and Bioinformatics, and Human Behavior and Biological Sciences.
  • Ken Powell, Arthur F. Thurnau Professor of Aerospace Engineering.

There will be time for questions and discussion.