Normally a minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. A student peer group will often contain a broad mix of undergraduate degrees. Most common backgrounds include psychology, economics, philosophy, computer science, cognitive science, linguistics and law. An undergraduate degree not listed here should not, however, deter a potential applicant who can demonstrate an understanding of the focus of the course and enthusiasm for cognitive science and decision making, although they should be prepared for the mathematical component contained in the MSc-level Research Statistics module.
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good.
Further information can be found on our English language requirements page.
Months of entry
The Cognitive and Decision Sciences MSc at UCL studies the cognitive processes and representations underlying human thought, knowledge and decision-making. It integrates a wide range of disciplines and methodologies, with the core assumption that human cognition and choice are computational processes, implemented in neural hardware.
The programme draws on an outstanding academic staff, ranging across many disciplines, including internationally renowned researchers in psychology, computational modelling, neuroscience and economics.
London is one of the global hotspots for research in cognition, decision-making, and neuroscience; and it is an intellectual hub with a high density of research seminars and scientific meetings that attract leading international researchers.
London is also one of the world's foremost commercial and political centres, with consequent opportunities for high-level applied research; and it is a vibrant, culturally diverse and international city, with world-class music, theatre and galleries.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- full time12 months
- part time24 months
The programme is delivered through a combination of lectures, seminars, class presentations, and practical, statistical, computational and experimental class work. Student performance is assessed through online tests, coursework, essays, practical experimental and computational mini-projects, and the dissertation.
Course contact details
- +44 (0)20 3370 1214