Modes and duration
- Full-time: 4 years
Tuition Fees (2015/16)
- £4,635 (FT)
- £21,530 (FT)
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.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
- Analysis of neural data
- Neural dynamics
- Perceptual processing of auditory and visual input
- Population coding
- Reinforcement learning
- Statistical machine learning
- Unsupervised learning
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.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- UK, EU, Overseas students
More scholarships are listed on the Scholarships and Funding website
Most of our graduates go on to postdoctoral positions in academia, although a few students have been known to take up medicine or senior positions in industry. Recent graduates have taken up research posts at institutions such as the University of Cambridge, Princeton, Berkeley, the Peabody Institute at Harvard, Colorado, and ENS Paris and organisations including Microsoft Research and the Wellcome Trust.
Top career destinations for this degree
- Postdoctoral Researcher, University of Cambridge (2011)
- Postdoctoral Research Fellow, UCL Wellcome Trust (2010)
- Researcher, Google DeepMind (2013)
- Postdoctoral Researcher, Duke University (2012)
Our students are extremely well trained - we offer a very intense, and very rigorous, programme. They therefore tend to get good jobs; over 90% of our graduate students get postdoctoral positions, and the ones that do get postdoctoral positions tend to go on to faculty positions.
There are significant networking opportunities both within and external to the Gatsby Unit. Within the Unit there are daily tea talks where members take in in turns to prepare a ten-minute talk to other members of the Unit. The unit also holds regular weekly seminars to which eminent speakers are invited; these are open to other members of the University and there is an opportunity to meet speakers and attendees after the talk. The Gatsby Unit schedule can be viewed online. Students also run their own reading groups and all students have the opportunity to attend relevant conferences and other international events.
Why study this degree at UCL?
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.
Student / staff ratios › 4 staff › 0 taught students › 16 research students
Department: Gatsby Computational Neuroscience Unit
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
For more information see our Applications page.Apply now