Cognitive Science Program

MS in Computational Cognitive Science

The MS in Computational Cognitive Science is a 30-credit, course-based, non-thesis program.  You'll culminate the program by completing a required experiential learning component (a co-op, internship, or other approved experience), which will provide you with a structured opportunity to apply the knowledge and skills you've developed in a real-world setting.

This program 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
Experiential Learning: a co-op, internship, or other program-approved experience

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

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