A 2:1 (or international equivalent).
A 2:2 (or international equivalent) may be considered provided the applicant has at least one year of relevant work experience or another supporting factor; for quantitatively minded students with a background in psychology, neuroscience, or biosciences as well as those with training in physics, engineering, mathematics, or computer science; no specific biology or computer knowledge required.
Months of entry
- An interdisciplinary course that uniquely combines aspects of psychology, mathematics and computer science
- Computational Neuroscience aims to better understand brain function, develop better analysis tools for neural data and inspire artificial intelligence algorithms
A number of developments make this course particularly relevant:
- Recent successes in machine learning are based on analogies with animal brains, i.e. artificial neural networks; these successes have put the analysis of brain computation at the forefront once more
- In particular study of the biological brain is being considered as a way to resolve some outstanding issues in AI, such as learning with a limited number of samples, generalisation, and the development of explainable AI
- The study of the brain is currently undergoing a revolution as computational models are becoming powerful and accurate enough to complement experimental approaches
- Revolutions in experimental recording methods necessitate the use of advanced analysis methods to deal with the enormous volume of data that these methods can produce
Qualification and course duration
Course contact details
- Postgraduate enquiries
- +44 (0)115 951 5559