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Foundational Artificial Intelligence MPhil/PhD

UCL (University College London)

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    UCL (University College London)

  • Study mode

    Full time

  • Start date

    27-SEP-21

  • Duration

    4 years

Course summary

Overview

The UCL Centre for Artificial Intelligence is host to the UKRI funded Centre for Doctoral Training (CDT) in Foundational Artificial Intelligence (AI). The CDT provides training and is supported by a large body of industry partners to help the UCL team create an exciting platform to launch student careers as scientists or AI entrepreneurs. Our Foundational AI CDT addresses the need for AI workers by training researchers capable of advancing core AI algorithms. Our graduates will help shape the social, scientific and economic landscape through scientific breakthroughs and the creation of companies on the basis of novel AI technology.

Current AI machines are largely "dumb" — they don't understand their physical environment, nor have enough understanding of human culture to communicate in natural ways. Our vision is that AI is in its infancy and that AI breakthroughs are key to controlling and shaping the future technological landscape. However, creating effective AI is challenging given our limited understanding of how intelligence works.

Application deadline

30/7/2021

Tuition fees

Students living in United States
(international fees)

£ 25,200per year

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

University information

UCL (University College London)

  • University League Table

    8th

  • Campus address

    UCL (University College London), Gower Street, London, Camden, WC1E 6BT, England

Subject rankings

  • Subject ranking

    7th out of 113 13

  • Entry standards

    / Max 236
    198 89%

    7th

    11
  • Graduate prospects

    / Max 100
    92.0 92%

    19th

    8
  • Student satisfaction

    / Max 5
    3.89 78%

    61st

    39

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