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. What and how will I learn? 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. Degree Structure Students undertake courses to the value of 180 credits. The programme consists of six core courses (90 credits), two optional courses (30 credits) and a research dissertation (60 credits). Core Modules Introduction to Philosophy of Cognitive Science Principles of Cognition Research Statistics Research Skills and Programming for Cognitive Science (MATLAB) Judgement and Decision Making Knowledge, Learning and Inference Dissertationreport All students undertake an independent research project which culminates in a dissertation of approximately 8,000-10,000 words. Options The Brain in Action Applied Decision-Making Cognitive Neuroscience Human Memory and Learning Neural Computation: Models of Brain Function Understanding Individuals and Groups Social Neuroscience Social Cognition: Affect and Motivation Current Issues in Attitude and Research Evolution of Human Cognition Further details available on subject website: http:www.ucl.ac.uklifesciences-facultydegree-programmemescognitive-decision-sciences 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 unseen written examination, coursework, essays, practical experimental and computational mini-projects, and the dissertation. Why should I study this degree at UCL? The programme draws on an outstanding faculty, ranging across many disciplines, including internationally renowned researchers in psychology, computational modelling, neuroscience and economics. London is one of the global hot-spots 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. Your future career First destinations of recent graduates include: St. Mary's Hospital: Research Assistant Sony: Human Interface Designer Queen Mary, University of London: Further study: Medicine Entry Requirements Normally a minimum of an upper second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. How to apply There is no fixed deadline for applications to this course however students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines. Who can apply? This programme will appeal to outstanding students interested in pursuing a research career in the cognitive and decision sciences, or to those wishing to develop an understanding of core theoretical principles of human thought to tackle applied problems in a range of areas including marketing, finance, and public policy. RAE Rating Division of Psychology and Language Sciences Interdisciplinary: not an assessed unit http:www.ucl.ac.ukgradprospectuspls
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. What and how will I learn? Key topics include the nature of computational explanation the general principles of cognition the scope of rational choice explanat...
