Cognitive and Decision Sciences

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.

Key topics include the nature of computational explanation; the general principles of cognition; the scope of rational choice explanation; probabilistic models of the mind; learning and memory; and applications to economics and business. The programme involves training in experimental design and methodology, building computational models and undertaking original research.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (90 credits), two optional modules (30 credits), and a research dissertation (60 credits).

Core modules

• Introduction to Cognitive Science
• Principles of Cognition
• Research Statistics
• Research Skills and Programming for Cognitive Science
• Judgement and Decision Making
• Knowledge, Learning and Inference

Optional modules

• Applied Decision-making
• Human Learning and Memory
• Cognitive Neuroscience
• Social Cognition: Research Methods
• The Brain in Action
• Neural Computation: Models of Brain Function
• Consumer Behaviour
• Understanding Individuals and Groups
• Social Neuroscience
• Social Cognition, Affect and Motivation
• Current Issues in Attitude Research
• Talent Management
• Business Psychology Seminars
• Interpretation of Forensic Evidence
• Consulting Psychology
• Designing and Analysing fMRI Experiments

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of approximately 10,000–12,000 words.

Teaching and learning

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.

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.