Master's in Computational Science and Engineering
The Computational Science and Engineering (CSE) master’s program, led by faculty from Computer Science, Applied Math and the Engineering Sciences, and administered through the Institute for Applied Computational Science (IACS), provides rigorous training in the mathematical and computational foundations of CSE.
CSE is an exciting and rapidly evolving field that exploits the power of computation as an approach to major challenges at the frontiers of natural and social science and all engineering fields. Sitting at the intersection of Computer Science and Applied Math, the master’s program offers students experience with mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and methods for organizing, exploring, visualizing, processing and analyzing very large data sets.
Students interested in the CSE program can choose to apply to either the Master of Science (SM) or Master of Engineering (ME) degree. Students take 8 courses to complete the SM degree. The degree can be completed in 2 semesters (one academic year), although many students choose to extend to a third semester to take additional courses and to allow themselves time to pursue a summer internship in industry. To earn the ME degree, students will spend four semesters (two academic years) on campus, spending a year on a master’s thesis research project after completing the same set of 8 courses required for the SM.
SEAS will be hosting virtual information sessions this Fall for students interested in the Computational Science and Engineering master's program (as well as the Data Science and MS/MBA programs).
They will be held on the following dates :
Friday, October 16 10:00 AM eastern time, View Video Here
Thursday, October 29 10:00 AM eastern time, View Video Here
Jointly cohosted by IACS and the SEAS Office of Diversity Inclusion and Belonging, this session is targeted at women and minorities who are underrepresented in applied computation. The program featured a moderated discussion with current IACS master's students discussing their experiences.