Study location	United Kingdom, Sheffield
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	MSc

Tuition fee	To be confirmed

Entry qualification	Undergraduate diploma (or higher) A 2:1 honours degree or equivalent qualification in either a life science or mathematical/physical science The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL or other equivalent IELTS: 7.0 with 7.0 in Writing and 6.0 in the other components TOEFL (IBT): Overall score of 80 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking CAE: Overall score of 176 or above, with at least 162 in each component

Other requirements	At least 2 reference(s) must be provided. These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish. CV

More information	Expenses, accommodation, working etc. sheffield.ac.uk/..rospectivepg/masters/ccn

Overview

These relatively new disciplines are the key to explaining the link between brain and behaviour.

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.

On this course, you’ll develop a broad and critical understanding of both fields, and 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.

Programme structure

Core 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

Teaching

Lectures
Seminars
Laboratory classes

Assessment

Exams at the end of semesters one and two
Extensive empirical research project over the summer