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 neuroscience, adaptive behaviour, neuroethology, evolutionary biology, artificial neural network and robotics. We'll teach you the core techniques in experimental cognitive psychology, including computational modelling, biomimetic robots and cutting-edge neuroimaging, and give you opportunities to apply these techniques.
Over three months you'll 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 student-led 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's 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 interaction of self-organisation and selection with Boolean networks
- 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
Example past papers published, including student authors
- Brooke JM, James SS, Jiminez-Rodriguez A, Wilson SP (2022) Biological action at a distance: Correlated pattern formation in adjacent tessellation domains without communication. PLoS Computational Biology. doi:10.1371/journal.pcbi.1009963
- Wilson SP, James SJ, Whiteley DJ, Krubitzer LA (2019) Limit cycle dynamics can guide the evolution of gene regulatory networks towards point attractors. Scientific Reports 9: 16750. doi:10.1038/s41598-019-53251-w
- Bruyns-Haylett M, Luo J, Kennerley AJ, Harris S, Boorman L, Milne E, Vautrelle N, Hayashi Y, Whalley BJ, Jones M, Berwick J, Riera J & Zheng Y (2016) The neurogenesis of P1 and N1: a concurrent EEG/LFP study. NeuroImage.
- Dickinson A, Jones M & Milne E (2016) Measuring neural excitation and inhibition in autism: different approaches, different findings and different interpretations. Brain Research.
- Slack R, Boorman L, Patel P, Harris S, Bruyns-Haylett M, Kennerley A, Jones M & Berwick J (2016) A novel method for classifying cortical state to identify the accompanying changes in cerebral haemodynamics. Journal of Neuroscience Methods, 267, 21-34
If you have a passion for understanding the brain and behaviour, whether your background stems from biology, engineering, physics, mathematics, psychology or medicine, this interdisciplinary course has been designed to ensure that you'll 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.
We accept medical students who wish to intercalate their studies. Find out more on the Medical School's website.
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