Cognitive and Computational Neuroscience at University of Sheffield - UCAS

Course summary

Gain in-depth training in core aspects of contemporary neuroscience, from sensation and sensory processing to understanding complex brain functions and artificial intelligence. You'll work on a research project in cognitive neuroscience with a world-leading expert from the Department of Psychology and be prepared for a career in research, healthcare, industry or study to PhD level. 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. Throughout your course, our neuroscientists will introduce you to the core problems in computational and cognitive neuroscience, adaptive behaviour, and artificial neural networks. We will teach you the core techniques in experimental cognitive psychology, including computational modelling, data analysis, and cutting-edge neuroimaging, and give you opportunities to apply these techniques. Over six months, you will work on your research project in cognitive neuroscience with one of our world-leading experts in the Department of Psychology. Your research topic could range from basic to theoretical neuroscience. You may have the opportunity to collect and analyse real-life cognitive brain science data, using state-of-the-art equipment, before presenting your findings at our summer postgraduate students' conference. This project gives you the opportunity to put your new techniques in experimental neuroscience into practice, while exploring ideas at the cutting-edge of cognitive neuroscience. It is common for MSc research projects to form the basis of publications in peer-reviewed journals. Example research projects

  • Cortical arealization and pattern formation: spontaneity and control
  • Simulating the effect of peripheral neuropathy on tactile feedback during gait and balance
  • The effects of different spiking patterns and reuptake rates in a model of striatal dopamine
  • Trial-to-trial variability in human EEG recordings during visual stimulation and behaviour
  • Understanding connectivity in the brain through time-series analysis
If you have a passion for understanding the brain and behaviour, whether your background is in biology, engineering, physics, mathematics, psychology or medicine, this interdisciplinary course has been designed to ensure that you will gain in-depth knowledge of the fundamentals of 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 cognitive neuroscience, from the biological basis to imaging and simulation, allowing you to discover the area that you’re most interested in:
  • MSc Cognitive Neuroscience and Human Neuroimaging
  • MSc Systems Neuroscience
Please see our University website for the most up-to-date course information.


How to apply

International applicants

English language requirements: Overall IELTS score of 6.5 with 6.0 in each component.

Entry requirements

Minimum 2:1 undergraduate honours degree in either a life science (including psychology) or a mathematical/physical science (including engineering). We also accept medical students who wish to intercalate their studies. English language requirements: Overall IELTS score of 6.5 with 6.0 in each component.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Cognitive and Computational Neuroscience at University of Sheffield - UCAS