Computation and Cognition
The four-year Computation and Cognition program offers a comprehensive study of computer science, artificial intelligence, cognitive psychology, and computational modeling. Students explore how computational systems can simulate, understand, and enhance cognitive processes, combining theoretical foundations with practical applications. The curriculum emphasizes programming, algorithmic thinking, and cognitive modeling, providing hands-on experience through lab work, simulations, and research projects. Through seminars and independent studies, students acquire a deep understanding of the intersection between human cognition and computational systems, preparing them for interdisciplinary challenges in science and technology.
Throughout the program, students engage in computational modeling, artificial intelligence research, and cognitive science experiments addressing complex problems in learning, perception, and decision-making. Emphasis is placed on critical thinking, programming, and problem-solving, equipping graduates with practical skills applicable in both academic research and industry. By integrating theoretical frameworks with hands-on experience, learners gain the knowledge and experience necessary to pursue careers in AI, cognitive computing, human-computer interaction, research, or advanced academic studies in computation and cognition.
Key information
Key Facts
- Program Title: Computation and Cognition
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 06 January 2026
- Location: Massachusetts Institute of Technology (MIT), United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Computation and Cognition
• Introduction to Computer Science
• Fundamentals of Cognitive Science
• Programming and Algorithms
• Academic Writing and Research Methods
Year 2 – Intermediate Computational and Cognitive Studies
• Data Structures and Analysis
• Artificial Intelligence Basics
• Cognitive Modeling
• Elective Modules in Computer Science
Year 3 – Advanced Topics & Applied Research
• Machine Learning and Neural Networks
• Human-Computer Interaction
• Computational Neuroscience
• Research Projects and Seminars
Year 4 – Capstone & Thesis
• Independent Research / Thesis
• Seminar on Computation and Cognition
• Presentation and Portfolio Development
• Advanced Elective Modules
Career Opportunities
Graduates of this program are prepared for careers in artificial intelligence, cognitive computing, software development, research, human-computer interaction, and data analysis. The program equips students with computational, analytical, and research skills, enabling them to work effectively in academic, technological, and industry settings. Opportunities for internships, applied projects, and collaborative research provide practical experience and insight, enhancing employability and readiness for interdisciplinary challenges. Many graduates also pursue advanced degrees in AI, cognitive science, computer science, or related fields to expand expertise and career opportunities.
Why Choose This Program
This program offers a unique interdisciplinary approach, integrating computer science and cognitive studies to equip students with skills necessary for modern computational and research challenges. Students develop analytical, programming, and problem-solving skills through applied projects, simulations, and independent research. The curriculum emphasizes both theoretical knowledge and practical application, ensuring graduates leave with both knowledge and experience necessary to pursue diverse careers or advanced academic studies in computation, cognition, artificial intelligence, and technology-driven research.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
