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MPhil in Ethics of AI, Data and Algorithms

University of Cambridge

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Course options

  • Qualification

    MPhil - Master of Philosophy

  • Location

    University of Cambridge

  • Study mode

    Full time

  • Start date

    01-OCT-25

  • Duration

    9 months

Course summary

The programme aims to equip students with the skills and knowledge to contribute critically and constructively to cross-disciplinary research on AI, data and algorithms and their ethical and societal implications. It introduces students from diverse backgrounds to relevant research skills and specialist knowledge from a range of academic disciplines, and provides them with the opportunity to carry out focused research under close supervision by domain experts at the University.

Learning Outcomes

Knowledge and understanding

By the end of the course, students will have acquired:

?
    ?
  • A deeper knowledge of the history, philosophy and theory of AI, data and algorithms
  • ?
  • an understanding of the capabilities of current and future digital technologies and their relation to wider society
  • ?
  • a critical perspective on the ethical challenges that arise from applications of AI, data and algorithms and how these sit within and interact with wider society
  • the conceptual understanding and analytic tools to evaluate and contribute to research on the nature, impacts and governance of AI, data and algorithms

Application deadline

26 March 2024

Tuition fees

Students living in Hong Kong
(International fees)

拢 34,506per year

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

University information

University of Cambridge

  • University League Table

    1st

  • Campus address

    University of Cambridge, The Old Schools, Trinity Lane, Cambridge, Cambridgeshire, CB2 1TN, England

Subject rankings

  • Subject ranking

    1st out of 65

    2nd out of 47 2

  • Entry standards

    / Max 234
    226 97%

    2nd

  • Graduate prospects

    / Max 100
    89.0 89%

    9th

    6
  • Student satisfaction

    / Max 4
    n/a

  • Entry standards

    / Max 210
    193 92%

    4th

  • Graduate prospects

    / Max 100
    86.0 86%

    6th

    4
  • Student satisfaction

    / Max 4
    n/a

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