Cognitive and Computational Neuroscience
Entry requirements
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Subject requirements
We accept degrees in the following subject areas:
- Behavioural Neuroscience
- Cognitive Neuroscience
- Computational Neuroscience
- Neuroimaging
- Neuropharmacology
- Neuroscience
- Psychology
We may be able to consider degrees in Life Sciences, Physical Sciences, Mathematics or Engineering.
Module requirements
You should have studied at least one module from each of the following areas:
Area 1 Neuroscience
- Clinical Neuroscience
- Cognitive Neuroscience
- Computational Neuroscience
- Developmental Neuroscience
- Introduction to Neuroscience
- Neuroanatomy
- Neuroethics
- Neuroimaging
- Neuropharmacology
- Neurophysiology
Area 2 Quantitative
- Advanced Research Methods in Psychology
- Data Analysis in Psychology
- Experimental Design
- Psychology of Research
- Quantitative Research Methods
- Research Ethics in Psychology
- Research Methods in Psychology
- Research Skills for Psychology
- Scientific Writing for Psychology
- Statistics for Psychology
We also accept medical students who wish to intercalate their studies.
On this course you'll encounter advanced mathematical concepts and technical content. We've put together some brief guidance about this technical content to help you decide if this best reflects your current skill set and interests.
Months of entry
September
Course content
Course description
Train in the core aspects of contemporary neuroscience, from sensation and sensory processing, to understanding complex brain functions and artificial intelligence with opportunities to conduct independent research.
The biggest part of the course is your research project in cognitive neuroscience. Here you’ll work with one of our world-leading experts on a research topic ranging from theoretical to more applied cognitive or computational neuroscience. You could even have the opportunity to collect and analyse real-life cognitive brain science data, using state-of-the-art equipment.
This project will give you the chance to put your new techniques in computational neuroscience into practice, while exploring ideas at the cutting-edge of cognitive neuroscience, ready to present your findings at our summer postgraduate students' conference.
Whether your background stems from biology, engineering, physics, mathematics, psychology or medicine, if you have a passion for understanding the brain and behaviour, this interdisciplinary course is designed to ensure that you'll gain in-depth knowledge of the fundamentals of neuroscience and research methods in cognitive neuroscience, ready for an exciting career in research or industry.
The University is home to the Neuroscience Institute, which brings together internationally-recognised expertise in medicine, science and engineering to improve the lives of patients and families affected by neurological, sensory and developmental disorders.
Other courses in cognitive neuroscience
We offer MSc courses that cover the full breadth of neuroscience, from fundamental cell and molecular biology, and its applications in medicine, to the latest advances in theoretical neuroscience and artificial intelligence, allowing you to discover the area that you’re most interested in.
Explore our postgraduate courses: https://sheffield.ac.uk/neuroscience-institute/study/postgraduate-coursesApplying for this course
You can apply to this course the usual way, using our Postgraduate Online Application form.
Please see our University website for the most up-to-date course information: https://www.sheffield.ac.uk/postgraduate/taught/courses
Information for international students
English language requirements
Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent.
Fees and funding
https://sheffield.ac.uk/postgraduate/taught/courses/2026/cognitive-and-computational-neuroscience-msc#feesfunding
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Postgraduate Admissions Tutor
- study@sheffield.ac.uk