The MS in Computational Cognitive Science is designed for students with undergraduate experience in the fields of cognitive science, psychology, neuroscience, computer science, engineering or related areas who seek graduate training that integrates cognitive theory, experimental methods, and computational modeling.
As a student in the program you’ll gain hands-on experience with computational modeling of cognition, experimental methods for studying human behavior, and evaluation of systems that involve people. Through your coursework, you’ll develop competence in cognitive theory, behavioral experimentation, statistical reasoning for behavioral data, computational modeling as an explanatory tool, and responsible approaches to human data.
In addition, you’ll receive professional preparation that will set you apart as you enter the job market. The program includes a professional skills component, which addresses project management, professional communication, collaboration in interdisciplinary teams, responsible data and research practices, and expectations for working in academic, clinical, and industry environments. You’ll culminate the program by completing a co-op or internship experience, which will give you a structured opportunity to implement the skills you have built in a real-world environment.
GSAS bills tuition using a per-credit billing model, meaning you are billed for the number of credits you take each semester. This billing model is used to provide students better flexibility so they may "pay-as-they-go".
| Tuition* | $1,849 per credit |
| Total Credits Required | 30 |
| Enrollment Status | Part-Time: 3-6 credits (typically 1-2 courses) Full-Time: 8+ credits (typically 3 or more courses) and/or qualifying enrollment criteria (assistantships, internships, or continuation courses, etc.) |
This example pathway outlines estimated tuition costs per semester using a typical full-time course load. This is one possible pathway to completion; actual credits, costs, enrollment status, and degree completion time may vary based on a student’s course load. Please note, there is a required pre-matriculation data processing tools bootcamp for this program.
| Full-Time Pathway | Fall | Spring | Total |
| Year 1 | 9 credits | 9 credits | 18 credits |
| $16,641 | $16,641 | $33,282 | |
| Year 2 | 9 credits | 3 credits | 12 credits |
| $16,641 | $5,547 | $22,188 | |
| Estimated Total Tuition* | $55,470 | ||
Note: this example does not account for any scholarships that may be awarded at the time of admission. GSAS offers generous merit- and need-based tuition scholarships for qualified applicants. A list of funding opportunities is provided below.
*Estimated based on 2026-2027 tuition rates. Rates are subject to change each academic year. For further information about the full cost of attendance, including health insurance, fees, and estimated indirect costs (housing, transportation, etc.), visit Student Financial Services.
At Tufts University, we believe that every qualified applicant should have the opportunity to pursue graduate study, regardless of financial circumstances. We are committed to helping you navigate the financial aspects of your education and strive to make graduate school accessible through a variety of support options.
Visit our Graduate Financial Aid page for information on loans and financing options.
Research/Areas of Interest: Psychology of Language, Linguistics
Research/Areas of Interest: Perception
Research/Areas of Interest: Neurodevelopmental disorders; autism spectrum disorder; sexuality education; social perception; eye tracking; dimensional measurement of psychological symptoms
Research/Areas of Interest: Cognition and Psycholinguistics
Research/Areas of Interest: Linguistics; literacy, sociolinguistic development; dyslexia in African-American children; language of children's cartoons; children's name-calling
Research/Areas of Interest: Metaphysics, Philosophy of Social Science, Philosophy of Language
Research/Areas of Interest: Research on learning and instruction. My research is on learning and teaching in STEM fields (mostly physics) across ages from young children through adults. Much of my focus has been on intuitive "epistemologies," how instructors interpret and respond to student thinking, and resource-based models of knowledge and reasoning.
Research/Areas of Interest: Neural basis of vocal communication
Research/Areas of Interest: Cognitive Neuroscience, Language (semantics), Clinical cognitive neuroscience
Research/Areas of Interest: Neighborhood and community context; housing context; family context; poverty and socioeconomic status; social policy; adolescence; immigrant young children
Research/Areas of Interest: Conceptual Development, Causal Reasoning, Language & Thought
Research/Areas of Interest: Music Cognition
Research/Areas of Interest: Cognitive Neuroscience
Research/Areas of Interest: Spatial Cognition, Applied Cognition.
Research/Areas of Interest: Memory and Aging
Research/Areas of Interest: Emotion and Emotion Regulation
Research/Areas of Interest: Applied Cognition