MA/MS in Computational Science

This professional graduate program about drawing insight from many kinds of data. It aims to deepen understanding of how machine learning works so that graduates can build new applications in public and private settings. Students pick one of several specialization tracks, such as finance, forensics, analytics or public policy, and complete courses in that area. Each track ends with a capstone project in data analytics that runs across two terms. An accelerated track is available. Applicants need a four-year undergraduate degree in a quantitative or technical field. The GRE is not required. Graduates can apply data modeling in health care, banking, business analytics and information technology. The program page links to the university catalog, where the list of eligible courses for each specialization track appears, and applicants submit the standard master's online application.