Master of Science in Cognitive Science and Artificial Intelligence
Explore the intersection of human cognition and AI through advanced deep learning and Bayesian modeling.
Best for:Best for students with a background in cognitive science, AI, psychology, or related fields seeking to specialize in interdisciplinary research on human and machine intelligence.
Overview
This two-year Master’s programme at Tilburg University integrates cognitive science and artificial intelligence to develop innovative solutions. Students will study advanced techniques like deep learning, reinforcement learning, and Bayesian modeling to investigate intelligence from both human and machine perspectives. The curriculum covers reasoning, learning, perception, communication, and collaboration, bridging theoretical knowledge with practical applications. Ideal for those passionate about interdisciplinary research at the forefront of cognitive and computational sciences.
What you'll do
- Study advanced techniques in deep learning, deep reinforcement learning, and Bayesian modeling to analyze human and machine intelligence.
- Investigate cognitive processes such as reasoning, learning, perception, communication, and collaboration from both human and computational perspectives.
- Develop innovative solutions and applications that bridge cognitive science and AI.
- Conduct interdisciplinary research projects combining theoretical knowledge with practical applications.
- Engage in collaborative work with peers and faculty to explore cutting-edge topics in cognitive and computational sciences.
Requirements
Degree required: Bachelor’s degree in Cognitive Science, Artificial Intelligence, Psychology, Computer Science, or a related field
Degree offered: Master of Science (MSc)
Language: English; IELTS overall band 6.5 (with minimum 6.0 in listening, reading, writing, and speaking) OR TOEFL iBT 5.0 OR Cambridge Certificate in Advanced English (C1) or Proficiency (C2)
Instruction: English
- Strong analytical and problem-solving skills
- Basic understanding of machine learning and statistical methods
- Ability to work in interdisciplinary teams
- Familiarity with programming and data analysis tools
- No specific nationality or residency restrictions
- No age limits or prior experience caps
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 2027-04-01
Applicants must submit their application through the official Tilburg University portal. Required documents include a CV, a motivation letter, academic transcripts, proof of English proficiency, and a research proposal or statement of purpose. Additional documents may be requested depending on the applicant’s background.
- CV
- Motivation letter
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (IELTS, TOEFL, or Cambridge Certificate)
- Research proposal or statement of purpose
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.