Research course

Gatsby Computational Neuroscience Unit

UCL - University College London · Gatsby Computational Neuroscience Unit

Entry requirements

Applicants must have a strong analytical background, a keen interest in neuroscience or machine learning and a relevant first degree at a munimum of upper second-class UK Bachelor's level or an overseas equivalent, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Students seeking to combine work in neuroscience and machine learning are particularly encouraged to apply.

Months of entry


Course content

The Gatsby Unit is a centre for theoretical neurosciences and machine learning, focusing on unsupervised, semi-supervised and reinforcement learning, neural dynamics, population coding, bayesian (including nonparametric) statistics, kernal methods and applications of these to the analysis of perceptual processing, neural data, natural language processing, machine vision and bioinformatics.

This programme provides a unique opportunity for a critical mass of theoreticians to interact closely with each other, including Computer Science, Science, Functional Imaging, Physics, Physiology, Psychology, Neurology, Ophthalmology, Sainsbury Wellcome Centre and Statistical Science, with the cross-faculty centre for Computational Statistics and Machine Learning, the forthcoming Sainsbury Wellcome Centre for Neural Circuits and Behaviour and also with other UK and overseas universities.

Department specialisms

Analysis of neural data Neural dynamics Perceptual processing of auditory and visual input Population coding Reinforcement learning Statistical machine learning Unsupervised learning

Information for international students


Fees and funding

UK students
£4,635 (FT)
International students
£21,530 (FT)

A number of competitive fully-funded studentships are available each year. These cover payments of full fees, provide a generous stipend and are available to students of any nationality.

Funding opportunities available for students taking research programmes are available at:

Qualification and course duration


full time
48 months


full time
48 months

Course contact details

Administrative Assistant
+44 (0)20 7679 1176
020 7679 3001