The Computational Modeling and Simulation Program at the University of Pittsburgh provides its graduate students with a strong background in computational methods for solving challenging problems in a range of disciplines. Students in the program take courses in numerical methods, computer science, scientific computing, as well as meeting the concentration requirements of one of the traditional disciplines listed below:
Bioengineering
Biological Sciences
Chemical and Petroleum Engineering
Chemistry
Civil and Environmental Engineering
Computer Science
Economics
Electrical and Computer Engineering
Geology and Environmental Science
Industrial Engineering
Mathematics
Mechanical Engineering and Materials Science
Physics and Astronomy
Psychology
Statistics
Students in the CMS PhD program benefit from the computational resources of the University’s Center for Research Computing, and they benefit from workshops offered by the Center and interaction with its consultants. Department and CMS specific seminars exposes students and faculty alike to the world’s leading scientists and their latest research. Pitt’s outstanding research and placement resources, coupled with the university’s commitment to being one of the finest and most productive universities in the world are uniquely positioned to help you meet your objectives.