Understanding the relationship between brain, cognition and behaviour is one of the main challenges the scientific community is currently facing. Which neural processes underlie “free” decisions, the formation of new memories, the emergence of conscious experience? Computational cognitive neuroscience is a young and exciting discipline that tackles these long'standing research questions by integrating computer modelling with experimental research.
This Masters programme will foster a new generation of scientists who will be trained in both neurocomputational modelling as well as cognitive neuroscience. Its core topics 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
The programme is suitable for students from a variety of disciplines including ' but not limited to ' psychology, computing, neuroscience, engineering, biology, maths and physics. Students with no prior programming experience are welcome.
Graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
**Why study this course?**
' This cutting'edge programme is at the forefront of a new, rapidly emerging field of research.
' It is multidisciplinary, conveying the theory and practice of computational and cognitive neurosciences.
' Graduates of this programme will gain a competitive edge in the job market over graduates of other, standard programmes in related fields.
You will study the following core modules: Foundations of Neuroscience, Statistical Methods, Cortical Modelling, Cognitive Neuroscience, Modelling Cognitive Processes and Higher Order Brain Functions, Advanced Quantitative Methods.
You will also undertake a 60 credit research project investigating an aspect of cognitive neuroscience using computational modelling, advanced data analysis methods, or a combination of these techniques. Culminating in a 10,000 word dissertation, the project will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.
You will also choose option modules from a list of those available.
Please note that due to staff research commitments not all of these modules may be available every year.
|Duration & Attendance||Qualification||Tuition fees||Fee type|
|Master of Science - MSc (PG)||Other Fees|
- An upper second-class honours degree (or equivalent undergraduate degree) in a relevant discipline.
- 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 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 of 6.5 with a 6.5 in writing and no element lower than 6.0 to study this programme.