MS in Computational Cognitive Science
The MS in Computational Cognitive Science is a 30-credit, course-based, non-thesis program with a required co-op or internship experience. It is designed for students with undergraduate preparation in cognitive science, psychology, neuroscience, computer science, engineering, or related fields who seek a master’s program that integrates cognitive theory, experimental methods, and computational modeling. The interdisciplinary program is structured as a cross-school initiative, drawing on instructional strengths in the School of Arts and Sciences and the School of Engineering.
Program Requirements and Policies
Total credits required: 30
Duration: 15 months
Thesis: None
Co-op: Required; non-credit bearing unless administratively necessary
Course Requirements
Course requirements will be posted soon.
The core curriculum builds a working understanding of how people actually make decisions, and includes a required ethics course addressing accountability, interpretability, and responsible deployment of AI and data systems. Coursework covers dual-process reasoning, the heuristics behind everyday judgment, and why cognitive errors are diagnostic of underlying mental structure, giving graduates the reasoning they'll use on the job to explain why users trust, distrust, or misuse a given system, along with the framework to evaluate whether that system was built and deployed responsibly.
Office of Graduate Admissions
We invite you to learn more about this program.