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Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology MScR

The University of Edinburgh

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The University of Edinburgh

Course options

8 options available

  • Qualification

    MSc - Master of Science

  • Location

    Main Campus

  • Study mode

    Full time

  • Start date

    01-MAY-26

  • Duration

    1 Year

Course summary

The Institute for Adaptive and Neural Computation (ANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.Our research falls into three areas:machine learningcomputational neurosciencecomputational biologyIn machine learning, we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.In computational neuroscience and neuroinformatics, we study how the brain processes information, and analyse and interpret data from neuroscientific experiments.The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

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Tuition fees

Students living in United States
(International fees)

£ 39,200per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

The University of Edinburgh

The University of Edinburgh

  • University League Table

    18th

  • Campus address

    Main Campus, Old College, South Bridge, Edinburgh, Edinburgh, EH8 9YL, United Kingdom

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Subject rankings

  • Subject ranking

    Biological Sciences

    6th out of 91 2

    16th out of 117 2

  • Entry standards

    / Max 218
    204 93%

    5th

  • Graduate prospects

    / Max 100
    83.0 83%

    14th

    12

  • Student satisfaction

    / Max 4
    3.03 76%

    61st

    5

  • Entry standards

    / Max 223
    203 91%

    7th

  • Graduate prospects

    / Max 100
    92.0 92%

    18th

    2

  • Student satisfaction

    / Max 4
    2.82 70%

    108th

    8

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