Overview
Students in Cognitive Science and Artificial Intelligence at Birkbeck, University of London will grapple with compelling questions such as, what is intelligence? How important is having a brain for having intelligence? What are the limits, dangers and values of artificial intelligence?
Why choose this course?
- This course is designed for graduates of computational sciences, engineering, philosophy or behavioural and psychological sciences, and is an ideal foundation if you are interested in a research career in the cognitive sciences.
- Depending on your interests and career aspirations, you can choose to study this course as either an MA or an MSc.
- It is a core initiative of Birkbeck’s Centre for Cognition, Computation and Modelling and you will be taught by world-leading researchers in the field.
- Our School of Psychological Sciences contributes to this interdisciplinary course which also benefits from co-teaching with the computer science and philosophy teams to help ensure you receive the highest levels of expertise.
What will I learn?
- This course allows you to study the cognitive processes and representations underlying human thought, knowledge and behaviour. It integrates a wide range of disciplines and methodologies with the core assumption that human cognition is a computational process, implemented in neural hardware.
- Key topics include: the nature of computational explanation; general principles of cognition; methodology of computational modelling; theories of the cognitive architecture; symbol systems; AI; neural computation; Bayesian approaches; case studies in computational cognitive modelling; ethics of AI.
- You will be able to follow your interests with option modules emphasising cognitive neuroscience, AI and data science, or philosophy and ethics. You will gain from intensive training in experimental design and methodology and will build computational models and carry out a substantial piece of original research.
Programme Structure
Courses include:
- Advanced Quantitative Methods
- Case studies in computational modelling of mind
- Computational Approaches to Mind
- Generic Research Skills
- Cognitive, Affective, and Social Neuroscience
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
IELTS & PTE Test Preparation
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- Live classes with current and ex-examiners
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Cognitive Science Artificial Intelligence View 415 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
A second-class honours degree (2:2) or above in psychology, neuroscience, computer science, engineering, mathematics or a related discipline.
- On your application form, please list all your relevant qualifications and experience, including those you expect to achieve.
- Your personal details
- Your qualifications
- Your work experience
- Your personal statement
- Referees
- Statistical information
- English proficiency
The application form
Tuition Fees
-
International Applies to you
Applies to youNon-residents23200 GBP / year≈ 23200 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents13500 GBP / year≈ 13500 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Cognitive Science and Artificial Intelligence.
Available Scholarships
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