The University of Sheffield
Cognitive and Computational Neuroscience
Cognitive neuroscience relates cognitive and behavioural functions to the underlying brain systems. Computational neuroscience uses data to construct rigorous computational models of brain function. Put them together and these new disciplines are the key to explaining the relationship between brain and behaviour.
You'll develop a broad and critical understanding of these two fields, along with an appreciation of different approaches to understanding brain function. Your range of computational and analytical skills, and an ability to generate and test hypotheses, will give you an excellent foundation for further research.
The course takes students from both life sciences and the physical sciences and engineering. Appropriate training is given to ensure all students can master the required skills and complete the course successfully.
A 2.1 Honours degree or equivalent qualification in either a life science or mathematical/physical science. English language requirements: IELTS 7.0 with 7.0 in writing and 6.0 in the other components, or equivalent.
Modules: fundamentals of cognitive neuroscience; fundamentals of neuroscience; computational neuroscience 1: biologically grounded models; mathematical modelling and research skills; computational neuroscience 2: theoretical models; brain imaging and its physical foundations.
Examinations at the end of semesters 1 and 2, and an extensive empirical research project over the summer.
Please contact us for the latest funding opportunities.
|Qualification||Study mode||Start month||Fee||Fee locale||Course duration|
|MSc||Full-time||September 2018||8,000 (Year 1)||England||1 1 Years|
|MSc||Full-time||September 2018||21,450 (Year 1)||International||1 1 Years|
|MSc||Full-time||September 2018||8,000 (Year 1)||Northern Ireland||1 1 Years|
|MSc||Full-time||September 2018||8,000 (Year 1)||Scotland||1 1 Years|
|MSc||Full-time||September 2018||8,000 (Year 1)||Wales||1 1 Years|
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