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MSc Cognitive and Computational Neuroscience

University of Sheffield    Department of Psychology

Full time September MSc 1 year full time

About the course

Train in computer simulation and mathematical modelling techniques, as well as experimental cognitive psychology and brain imaging, and develop an understanding of the biological foundations of natural and artificial intelligence.

Course description

This 12-month course will give you in-depth training in core aspects of contemporary neuroscience, from sensation and sensory processing, to understanding complex brain functions and artificial intelligence. You'll be prepared for an exciting career in research, healthcare, industry, or further study to PhD level.

Read more about this course

Entry Requirements

A 2:1 honours degree or equivalent qualification in either a life science (including psychology) or mathematical/physical science (including engineering).

We accept medical students who wish to intercalate their studies.

Technical content

Entry requirements for international students

Overall IELTS score of 6.5 with 6.0 in each component.

Other English language qualifications we accept


Home (2022 annual fee) : £11,500
Overseas (2022 annual fee) : £28,500

 Course Content

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Student Profile(s)

Natalia Favila Vazquez

Doing the MSc in Cognitive and Computational Neuroscience was both challenging and fun. The modules taught during the course really capture the interdisciplinary spirit of the psychology department, with modules in mathematical skills, psychological theories and neuroscience. Learning how a topic can be studied from several approaches and how these can be integrated was something I really enjoyed.

Laura Edmondson

"Computational Neuroscience brings together researchers in neuroscience, engineering and computing to name a few, and it is this interdisciplinary approach that first attracted me to the subject. I chose the MSc in Cognitive and Computational Neuroscience at Sheffield due to the diversity of course modules and strong research groups there, such as the adaptive behaviour research group and Neurovascular and Neuroimaging Research Group.

"The course itself has a taught aspect with modules in the first and second semester, followed by an independent research project over the summer. The modules are taught in a mixture of lectures, discussion groups and computer lab classes. The smaller number of fellow students in lectures and labs means there is an opportunity to engage more closely with the lecturers to discuss the course materials. I was drawn to the course at Sheffield due to the variety in module topics. I had the opportunity to learn not only about computational modelling methods, but also imaging techniques such as fMRI and electrophysiology.

"After completing the taught modules, the summer period was dedicated to an extended research project where I could apply everything I had learned. I joined the Active Touch Lab, supervised by Dr Hannes Saal, to model cortical somatotopic representations using self-organisation algorithms. During the project I was able to apply the theoretical knowledge and programming techniques I learned in the modules to create a cortical model of touch processing. Dr Hannes Saal encouraged me to present my MSc work as a poster presentation at two scientific conferences. It was a great experience as I had the opportunity to network with other students and academics in my field.

"I received a departmental teaching fellowship following my MSc and have stayed on at Sheffield to complete my PhD with Dr Hannes Saal, enabling me to continue working on research questions that arose from my MSc thesis.

"I would strongly recommend the MSc to anyone who wants a comprehensive insight into both computational modelling and complimentary cognitive neuroscience techniques, such as neuroimaging."


Each year we offer two bursaries to students on this program. Students who are awarded a bursary get a £1,500 reduction in their tuition fees. These bursaries are awarded on a competitive basis, based on:

- Academic performance as indicated by GPA and transcript.
- Other relevant skills and knowledge (for example, programming courses outside the degree, or relevant work experience).
- Research activity (co-authoring papers, conference presentations, etc).
- Personal statement, which should include information on why you want to do the course you have applied for, and how it fits with your aspirations.

Value of Scholarship(s)



To be considered for a bursary in the year that you intend to start your course, submit your application to study with us by 31 May.

All applications received before this deadline will automatically be considered for a bursary.

Application Procedure

To be considered for a bursary in the year that you intend to start your course, submit your application to study with us by 31 May.

All applications received before this deadline will automatically be considered for a bursary.

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