Gatsby Computational Neuroscience Unit MPhil/PhD 48 months PHD Program By UCL |Top Universities
Subject Ranking

# =24QS Subject Rankings

Program Duration

48 monthsProgram duration

Tuitionfee

36,500 GBPTuition Fee/year

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Students at the Gatsby Unit study toward a PhD in Computational and Theoretical Neuroscience and Machine Learning. You will network extensively with the Sainsbury Wellcome Centre and other UCL experimental groups. Gatsby is part of the Centre for...
Read more

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Students at the Gatsby Unit study toward a PhD in Computational and Theoretical Neuroscience and Machine Learning. You will network extensively with the Sainsbury Wellcome Centre and other UCL experimental groups. Gatsby is part of the Centre for...
Read more

Admission Requirements

69+
7+
100+
3.3+
185+
Applicants must have a strong analytical background, a keen interest in neuroscience or machine learning and a relevant first degree at a minimum 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.

4 Years
Sep

Tuition fees

Domestic
6,215 GBP
International
36,500 GBP

Scholarships

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QS subject rankings

Subject: Computer Science and Information Systems

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  • 2013
    #23
  • 2014
    #25
  • 2015
    #23
  • 2016
    #33
  • 2017
    #37
  • 2018
    #32
  • 2019
    #23
  • 2020
    #17
  • 2021
    #=23
  • 2022
    #22
  • 2023
    #24
  • 2024
    #22
  • 2025
    #=24

Ranking criteria

Overall
78.9
Academic Reputation
74.3
Citations per Paper
90.6
Employer Reputation
76.7
H-index Citations
84.3
International Research Network
85.2

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