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Goldsmiths, University of London: Computational Cognitive Neuroscience
| Institution | Goldsmiths, University of London View institution profile |
|---|---|
| Department | Psychology |
| Web | https://www.gold.ac.uk/ |
| Study type | Taught |
Summary
Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges for the scientific community. This established Masters course, integrating computer modelling with experimental research, equips students with a solid theoretical basis and practical experience of advanced data analysis and experimental techniques in computational and cognitive neuroscience.
Computational cognitive neuroscience is a young and exciting discipline that attempts to understand how the human brain works by integrating computer modelling with experimental cognitive neuroscience research.
Building on the multi-disciplinary and strong research profiles of academics from our departments of Computing and Psychology, this degree will develop a new generation of scientists, trained in both neuro-computational modelling and cognitive neuroscience.
Core topics you’ll study include: - Creating computational/mathematical models of neurons, circuits and cognitive functions
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The fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour)
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Advanced data analysis and neuroimaging techniques
We welcome applicants from a variety of disciplines including psychology, computing, neuroscience, engineering, biology, maths and physics. There is no need to have prior experience in programming to apply.
Why study MSc Computational Cognitive Neuroscience This Masters will help you develop a unique set of complementary skills, making you extremely competitive in securing research or data analyst positions in both academia and industry: - This cutting-edge programme is at the forefront of a new, rapidly emerging field
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It is highly multidisciplinary, covering the theory and practice of computational and cognitive neurosciences; areas of application range from machine learning to brain-computer interfaces, to research in cognitive and clinical neuroscience
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We have strong links with industry. You can decide to carry out your final research project in collaboration with one of our industry partners and collaborators, paving the way for employment and post-Masters internship opportunities.
Master of Science - MSc (PG)
| Level | RQF Level 7 |
|---|---|
| Entry requirements | First or upper second-class honours degree (or equivalent undergraduate degree) in a relevant discipline. A levels in Computer science or Science or Maths. Applications will be reviewed on a case-by-case basis. Depending on previous background and experience, applicants may be required to take one or more pre-sessional courses (for example in programming, statistics, or maths) prior to the start of the programme. These courses will be free to MSc offer holders. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme. |
| Location | Goldsmiths, University of London New Cross London SE14 6NW |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | First or upper second-class honours degree (or equivalent undergraduate degree) in a relevant discipline. A levels in Computer science or Science or Maths. Applications will be reviewed on a case-by-case basis. Depending on previous background and experience, applicants may be required to take one or more pre-sessional courses (for example in programming, statistics, or maths) prior to the start of the programme. These courses will be free to MSc offer holders. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme. |
| Location | Goldsmiths, University of London New Cross London SE14 6NW |
An incubator for ideas
Creativity has always been the hallmark of Goldsmiths. Academic excellence and imaginative course content combine to make a place where creative minds can thrive and ideas are allowed to grow.
Our courses and research activities span the creative arts, humanities, social sciences, cultural studies, computing, business and management across 18 academic departments.
A world leader in new knowledge
Our academics cooperate across disciplines to create exciting new courses and develop novel approaches to research issues. Our interdisciplinary approach has helped us to become a national leader in many subject areas.
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