Computational Cognitive Neuroscience

Entry requirements

First or upper second-class honours degree (or equivalent undergraduate degree) in a relevant discipline (including computer science, engineering, physics, mathematics, statistics, biology, psychology, medicine) or closely related field.

Applicants might also be considered if they aren’t a graduate or their degree is in an unrelated field, but have relevant experience and can demonstrate the ability to work at postgraduate level.

A-levels in Science, Computer Science or Mathematics

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.

Months of entry

September

Course content

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
• The fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour)
• 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.

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
• 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
• 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 (see Careers information below)

For examples of student work and alumni stories, visit the Computational Cognitive Neuroscience programme's blog.

Information for international students

We accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.

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. If you need assistance with your English language, we offer a range of courses that can help prepare you for postgraduate-level study.

Fees and funding

Find out more about postgraduate fees and explore funding opportunities. If you're applying for funding, you may be subject to an application deadline.