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Start date: |
September 2012, September 2013 |
Content
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Information about the programme |
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This program 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; applications to economics and business. The program involves intensive training in experimental design and methodology, building computational models, and carrying out a substantial piece of original research. Why CoDeS? Who should apply? |
Structure
Course structure
The course is made up of eight taught modules and a research project. There are six core modules, which will provide students with a firm basis in both the theory and practice of cognition science and decision-making, and two specialist modules, selected by students from a wide list of options. The options and research project will allow students to pursue their own specific interests, and complete a significant piece of research work.
Obligatory Modules
The programme has the following obligatory components:
CORE MODULES:
|
Code |
Module Name |
Credit Value |
Examination |
| PSYCGD02 | Principles of Cognition |
15 |
seen essay |
| PSYCGD04 | Knowledge Learning and Inference |
15 |
seen essay |
| PSYCGD01 | Introduction to Philosophy of Cognitve Science |
15 |
seen essay |
| PSYCGD05 | Programming for Cognitive Science |
15 |
seen essay |
|
PSYCGD03 |
Judgment and Decision Making |
15 |
seen essay |
| PSYCGR01 | Research Statistics |
15 |
unseen exam |
| PSYCGD99 | Dissertation |
60 |
8-10,000 words |
Option Modules
In addition, students register for two optional modules (each worth 15 credits) in consultation with the programme director chosen from the following:
OPTIONAL MODULES:
| Code | Module Name |
Credit Value |
Examination |
| PSYCG201 | Applied Decision-making | 15 |
seen essay |
| PSYCG207 |
Human Learning and Memory |
15 | seen essay |
| PSYCG209 |
Cognitive Neuroscience |
15 | seen essay |
| PSYCG210 | The Brain in Action | 15 | seen essay |
| PSYCGS01 |
Understanding Individuals and Groups |
15 | seen essay |
| PSYCGS04 |
Social Neuroscience |
15 | seen essay |
| PSYCGS02 |
Social Cognition; Affect and Motivation |
15 | seen essay |
| PSYCGS03 |
Current Issues in Attitude Research |
15 | seen essay |
| ANATG041 | Neural Computation: Models of Brain Function | 15 |
seen essay |
| ARCLG183 |
Evolution of Human Cognition |
15 |
2 seen essays |
| PSYCGB01 |
Talent Management |
15 |
seen essay details to follow |
| PSYCGB02 |
The Psychology of Behaviour at Work |
15 |
seen essay details to follow |
| PSYCGB03 |
Business Psychology SEminars |
15 |
seen essay details to follow |
| PUBLGC57 | Interpretation of Evidence | 15 | seen essay and 2 hr unseen exam |
Time table
TBC
Staff
Programme Director (and lecturer) David Lagnado
Programme Lecturer Brad Love
Programme Lecturer Adam Harris
Programme Teaching Fellow Stephanie Baines
Module convenor for Statistics Maarten Speekenbrink
Module convenor for Programming for Psychologists (MATLAB) Keith Langley
Course Administrator Pia Horbacki.
Application
Funding
UCL Scholarships
For further information on UCL Scholarships, please visit: Scholarships
Application
Entry Requirements
Eligibility: Applicants for this UCL graduate programme are normally expected to hold at least a 2.2 in a UK undergraduate degree (or equivalent overseas qualification) in a relevant subject such as psychology, economics, neuroscience, philosophy, computer science, mathematics, statistics, physics and engineering. Usually this means a 2.1 level or above, but additional relevant experience or qualifications are also taken into account when considering applications. Overseas applicants also need to provide evidence of proficiency in English.
Deadline for Applications
Please note: the course is now full. We are still accepting applications and these will be placed on a waiting list.
Deadline application is 3rd August. Please note that applications can take up to 3 weeks before they are received by the Course Administrator so please allow sufficient time for your application to be received by the Course Administrator before the deadline.
Application Process
Early applications are encouraged from students wishing to take a one-year (full-time) or two-year (part-time) Masters degree in Cognitive and Decision Sciences at UCL as places become limited several months before the deadline. Applications must be submitted on the standard UCL
Graduate Application Form with all the required documentation. In exceptional
circumstances, late applications may be considered. However, early applications
are encouraged to guarantee a place. You can either Apply-On-Line (this is preferred) or send in a hard copy. The hard copy must have ALL
required documentation and sent directly to:
Admissions
UCL Registry
University College London
Gower Street
London
WC1E 6BT
United Kingdom
Careers
Many students pursue PhD’s at UCL and other leading universities such as Oxford, Yale, Harvard. Many become research assistants working on: surgical simulators, marketing, in an engineering lab working on decision making aspects of disaster situations, looking at the cognitive causes of diagnostic error, on the human cognitions under the sleep deprivation. Others have gone on to work for: the department of Children’s, Schools and Families (policy making for disciplinary procedures), working in IT, User Interface designer in an electronics company, project manager in market risk change programme in a high profile bank, consultancy, providing marketing / social solutions based on the principle of neurology and behavioural economics, Head of the Deputy Group CRO (Chief Risk Officer) Office in a large investment bank, psychology lecturer in psychology and risk management, Director of Development and Communications (in a university), published books about what people need to have in place for success., coaching senior staff in large corporations.
Contact
If you would like any further information on the programme, you can contact any of the following people:
Programme Director: email: David Lagnado phone: (+44 20) 7679 5389
Programme Lecturer: email: Brad Love phone TBC
Programme Lecturer: email: Adam Harris phone: (+44 20) 7679 5412
Programme Teaching Fellow: email: Staphanie Baines phone: (+44 20) 7679 5412
Course Administrator: email: Pia Horbacki phone: (+44 20) 7679 5335
For information about specific course content it is recommended that you contact either Dave Lagnado or Adam Harris. For advice on the application process, please contact Pia Horbacki.
FAQs
| What are the fees this year for full-time and part-time studying? |
| For information on fees, please visit: All course fees |
| What are the term time dates? |
| For further information on term dates please visit: Term Dates Main teaching is the the 1st and 2nd term. During the 3rd term there is no teaching as this period is for development on the research project as well as other coursework submissions. |
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Information on Scholarships/funding: |
| Unfortunately there is very littleon offer interms of funding for this course. For information, please visit: Scholarships/Funding |
| Are there any prerequisites to enable entry to this course? |
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No. There are no prerequisites. We do however, make aware that the Statistics module is set at an advanced level and advise that those without any statistical experience may find this difficult. Pre-course reading is encouraged: Charles M. Judd, Gary H. McClelland, and Carey S. Ryan, "Data Analysis: A Model Comparison Approach" (2 edition), Routledge, 2008. (for further information, please visit: Data Analysis This book covers almost all the module content for 2011-12 and is the recommended book. Alternatively you can also refer to 'Discovering Statistics with SPSS' by Andy Field |
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Is there any recommended reading? |
| For further information on recommended reading, please visit; Recommended Reading |
| Part-Time studying - How would this work? |
| For further information, please visit: Part-Time Studying |
| What other Master's programmes,Research programmes or Professional Doctorates are available within the Division of Psychology and Language Sciences? |
| For further information, please visit: Masters, Research Programmes or Professional Doctorates |
| Can you offer any advice on student accommodation? |
| Accommodation is dealt with by UCL Residencies. For further information and contacts, please visit: Accommodation |
| What do our students say? |
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Pedro "By far the best part of the Master's are the seminars and optional talks. Of course, the regular schedule of classes and research opportunities are a fundamental part of the learning experience, but at UCL there are so many extra curricular activities that might interest you, that is impossible not to be excited about them. This reminds me of another point: if you have the time, do the course part time. Double the time to dedicate to your projects, double the time to think about your research, half the pressure on essays and exams, but most of all, twice as many seminars. I can't think of a better learning experience short of a PhD." Keith "Since starting the MSc in CoDes, I feel my mind has expanded- pressed outwards by the new ideas, thoughts, and understanding I have of human behaviour, cognition and social interaction. I love understanding ‘why’ people flirt, gamble, make ‘silly decisions’; or even just ‘consciousness’. As a mature foreign student I was humbled by the Depts drive to ensure students bond together well, are supported academically, and are encouraged to pursue their own personal interests; be it world domination, academia, or curing the world of Tuberculosis." |
Recommended Reading
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Back to FAQ's: |
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A couple of relevant and very readable introductory books: Nudge: Improving Decisions About Health, Wealth, and Happiness by Richard H. Thaler & Cass R. Sunstein (2008, Yale UP) Predictably Irrational: The Hidden Forces That Shape Our Decisions by Dan Ariely (2009, HarperCollins) |
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This book provides an excellent introduction to many issues covered in the course: |
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'Computing the mind' Shimon Edelman, Oxford University Press, 2008, ISBN 978019532067 |
| Introduction to Philosophy of Cognitive Science |
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Crane. T. (2003). The Mechanical Mind. Routledge, (2nd edition) Okasha, S. (2002). Philosophy of science: A very short introduction, OUP. Kim, J. (2006). Philosophy of mind. Westview. (2nd edition) |
| Principles of Cognition |
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Anderson, J. R. (1990). The Adaptive Character of Thought. Erlbaum.
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| Research Statistics |
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Charles M. Judd, Gary H. McClelland, and Carey S. Ryan, "Data Analysis: A Model Comparison Approach" (2 edition), Routledge, 2008. (seehttp://www.dataanalysisbook.com/) (will be used for this 2009/10) |
| Judgment and Decision Making |
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Baron, J. (2000). Thinking and deciding. CUP
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| Knowledge, Learning & Inference |
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Duda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern classification. Wiley. (2nd edition).
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MSc Cognitive and Decision Sciences(CoDeS) Recommended Reading Recommended reading :- Silva Code Source «HTML: Insert HTML code»A couple of relevant and very readable introductory books:Nudge: Improving Decisions About Health, Wealth, and Happiness by Richard H. Thaler & Cass R. Sunstein (2008, Yale UP)Predictably Irrational: The Hidden Forces That Shape Our Decisions by Dan Ariely (2009, HarperCollins)Silva Code Source «HTML: Insert HTML code»This book provides an excellent introduction to many issues covered in the course: 'Computing the mind' Shimon Edelman, Oxford University Press, 2008, ISBN 978019532067Silva Code Source «HTML: Insert HTML code»Introduction to Philosophy of Cognitive ScienceCrane. T. (2003). The Mechanical Mind. Routledge, (2nd edition) Okasha, S. (2002). Philosophy of science: A very short introduction, OUP.Kim, J. (2006). Philosophy of mind. Westview. (2nd edition) Silva Code Source «HTML: Insert HTML code»Principles of CognitionAnderson, J. R. (1990). The Adaptive Character of Thought. Erlbaum. Chater, N., Tenenbaum, J. B., &Yuille, A. (2006). Special issue: Probabilistic models of cognition. Trends in Cognitive Science, 10, 7, 287-344. Chater, N. & Vitányi, P. (2002). Simplicity: A unifying principle in cognitive science? Trends in Cognitive Sciences, 7, 19-22. Shepard, R.N. (1987). Towards a universal law of generalization for psychological science, Science, 237, 1317–1323.Silva Code Source «HTML: Insert HTML code» Research StatisticsCharles M. Judd, Gary H. McClelland, and Carey S. Ryan, "Data Analysis: A Model Comparison Approach" (2 edition), Routledge, 2008. (seehttp://www.dataanalysisbook.com/) (will be used for this 2009/10) Silva Code Source «HTML: Insert HTML code» Judgment and Decision MakingBaron, J. (2000). Thinking and deciding. CUP Gilovich, T., Griffin, D., & Kahneman, D. (2002). Heuristics and biases: The psychology of intuitive judgment. Cambridge, UK: Cambridge University Press. Kahneman, D., & Tversky, A. (2000). Choices, Values, and Frames. CUP. Koehler, D. & Harvey, N. (2004). Blackwell handbook of judgment and decision making. Blackwell. Newell, B.R, Lagnado, D. A., & Shanks, D. R. (2007). Straight choices: the psychology of judgment and decision. Psychology Press.Silva Code Source «HTML: Insert HTML code» Knowledge, Learning & InferenceDuda, R. O., Hart, P. E., & Stork, D. G. (2000). Pattern classification. Wiley. (2nd edition). Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufman Publishers. Pearl, J. (2000). Causality: Models, Reasoning and Inference. CUP. Oaksford, M. & Chater, N. (2007). Bayesian Rationality. OUP. Russell, S. & Norvig, P. (2003). Artificial Intelligence: A Modern Approach. Prentice Hall. (2nd edition). Sloman, S. A. (2005). Causal Models: How people think about the world and its alternatives. OUP.
| Back to FAQ's: |
Part-Time Studying
| Back to FAQ's |
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Part-time students will take two years to complete this degree by attending one day a week. You will be expected to devote extra time for private study and you will also have to attend lectures for your optional module which may fall on a different day than your assigned day of study. The Introductory lectures will be held on Mondays, so first year students should arrange to be in College on this day. The project work should be spread out over the two years and students are strongly encouraged to make substantial inroads in to it in their first year. Please ensure that you have (a minimum of) one day per week off work for the whole year and not just during term time. Part-time students can sometimes find the start of the course overwhelming, and feel that they are missing out by not attending the other modules, or because they do not have as much time as other students for reading or attending optional departmental seminars. Try not to let this worry you too much. You will soon find that there are some advantages to doing the course in two years (e.g. project is more spread out), and you will go in to your second year with the confidence of knowing that you have far more background knowledge than your newly-arrived full time peers. |
| What part-time students will complete over the two years: |
| First Year: |
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* Term 1 (28th Sept-18th Dec): TWO core modules: (Principles of Cognition & Stats) Attend all day Monday. * Term 2 (11th Jan-26th March): ONE core module: Judgement and Decision Making and ONE optional module. (all day Wednesday). You can choose a module that starts in Term 1 in which case you don’t have to do any in Term 2. * Term 3 (26th April+): Main Research Project (to be completed by end of second year). By the end of Year 1 you will have completed: 3 core modules and 1 optional module. |
| Second Year: |
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* Term 1: TWO core modules: Introduction to Philosophy of Cognitive Science and Mini Project (MATLAB). (Attend all day on Wednesday). * Term 2: ONE core module: Knowledge, Learning and Inference (Monday) and ONE optional module. You can choose a module that starts in Term 1 in which case you don’t have to do any in Term 2. * Term 3: Work on main project due end of August 2010. By the end of Year 2 you will have completed an additional 3 core modules and 1 optional module. |
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Page last modified on 13 mar 12 14:13 by Carolyne S Megan
