Did you study here?
Write a short review & help students like you! Over 21,000 students already shared their experience.
M.Sc. Cognitive and Computational Neuroscience
University of Sheffield
This programme is currently not being updated by a university administrator
please explain...
The information might be incorrect, incomplete or outdated.
We apologise for your inconvenience.
If you are a student, you can request further information from the programme contact person(s) listed below. If you are an employee of University of Sheffield, please contact us to administrate this information.
×| Tuition fee: |
|
| Start date: | September 2013 |
| Duration full-time: | 12 months |
| Languages: |
|
| Location: |
|
| Disciplines: | |
| Delivery mode: | On Campus |
| Educational variant: | Part-time, Full-time |
Description
Department of Psychology, Faculty of Social Sciences
Working closely with specialist scientists, you'll develop the skills to investigate and understand human behaviour.
About the course
1 year full time
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.
Where your masters can take you
You'll develop the skills and knowledge for all sorts of careers. Many of our graduates continue to PhD level. Others work as research associates and assistant psychologists.
Throughout your course, you'll have frequent reviews with your tutor to discuss your learning needs and objectives.
Contents
Core modules
* Fundamentals of Cognitive Neuroscience
* Computational Neuroscience 1 and 2
* Fundamentals of Neuroscience
* Mathematical Modelling and Research Skills
* Current Issues in Systems Neuroscience
* Current Issues in Cognitive Neuroscience
* Brain Imaging
Teaching
* Lectures
* Seminars
* Laboratory classes
Assessment
* Examinations
* Extensive empirical research project
Requirements
Entry Requirements
Good Honours degree (2:1 or above) or equivalent qualification in either a life science or mathematical/physical science.
If your existing training is in the life sciences then you will be able to take advantage of specially-designed mathematics and programming classes as well as instruction in the relevant applied mathematics integrated into specific modules.
If you have a qualification in mathematics, engineering, or the physical sciences, you will benefit from the introductory course in neuroscience that ensures all students have the same foundation in this area.
Students who are non-native speakers of English must also demonstrate that their language ability is sufficient before starting the course. We require non-native speakers of English to have achieved at least 6.5 overall in the IELTS with no less than 6 in any one component, or an equivalent English language qualification.
English Language Requirements
| CAE score: | 60(Grade A) |
IELTS
You are normally required to take an English Proficiency Test.
Most European Universities recognise the IELTS test.
Take IELTS test
