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MRes Applied Artificial Intelligence

University of Greater Manchester

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Course options

  • Qualification

    MRes - Master of Research

  • Location

    University of Greater Manchester Main Site, Bolton

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    18 Months

Course summary

This University of Bolton's Masters by Research degree in Applied Artificial Intelligence is a multidisciplinary research training programme which has been designed to be truly novel and sui generis. It has been designed to inspire the imagination and foster creativity while providing rigorous training in advanced research skills and deep subject knowledge. This MRes in Applied Artificial Intelligence prepares students to become domain-specific AI experts, equipping them with cutting-edge AI research skills to revolutionize various fields through data-driven innovation. The programme is delivered through a staged and flexible approach enabling you to develop research skills as preparation for a PhD or Professional Doctorate. Embedded within the programme is collaborative research, which prepares you for research within employment. Opportunities will be available for students to undertake applied research projects involving knowledge exchange. The MRes programme will provide a common foundation for PhD or Professional Doctorate programmes with interim award available following the gaining of 60 credits (PgCert) and an exit award of the 180 credit MRes.

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Tuition fees

Students living in United States
(International fees)

£ 1,458month

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 Greater Manchester

  • University League Table

    118th

  • Campus address

    Bolton Campus, Deane Road, Bolton, Greater Manchester, BL3 5AB, United Kingdom

Subject rankings

  • Subject ranking

    109th out of 118 3

  • Entry standards

    / Max 229
    106 46%

    87th

  • Graduate prospects

    / Max 100
    68.0 68%

    87th

    8
  • Student satisfaction

    / Max 4
    3.42 85%

    4th

    1

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Computer Science league table

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