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Gatsby Computational Neuroscience Unit MPhil/PhD UCL (University College London)

UK

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Course info

Summary

Overview

The Gatsby Unit is a world-class centre for theoretical neuroscience and machine learning. We provide a unique opportunity for a critical mass of theoreticians to interact closely with each other and with other world-class research groups across UCL. Teaching is supplemented with regular research talks, journal clubs and reading groups, extensive seminar programmes and participation in international conferences. As a student you will have ready access to all members of academic staff, not just your immediate supervisors. It is expected that most students will go on to postdoctoral positions in institutions across the world although some may take up posts in industry as senior research scientists or similar.

Careers

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, Colorado, École normale supérieure Paris and HHMI Janelia Research Campus and organisations including Microsoft Research, Google Deepmind and the Wellcome Trust.

Employability

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 then tend to go on to academic positions.

Course options

Here are the different ways in which you can study Gatsby Computational Neuroscience Unit MPhil/PhD.

Full Time (4 years)

Tuition fees

£26,940.00 (27,76,081) per year

From

27-Sep-21

Venue

UCL (University College London)

Gower Street,

London,

Camden,

WC1E 6BT, England

Entry requirement for international students

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. Overall grade of 7.0 with a minimum of 6.5 in each of the subtests. Overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening.

* Please check with your chosen school for the exact entry requirements for your programme.

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