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Advanced Artificial Intelligence MRes

University of Sussex

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University of Sussex

Course options

3 options available

  • Qualification

    MRes - Master of Research

  • Location

    University of Sussex

  • Study mode

    Full time

  • Start date

    28-SEP-26

  • Duration

    1 Year

Course summary

Artificial Intelligence (AI) is rapidly becoming a core technology with a diverse range of applications across science, healthcare and society. This MRes goes beyond basic principles. It offers research-focused training that will equip you with the skills and knowledge for doctoral study, and industrial AI research or engineering roles. This course is for you if you have recently studied a closely related technical degree and have a deep interest in artificial intelligence research methods. You’ll explore: cutting-edge machine learning and bio-inspired AI techniques how AI can be applied in a range of contexts and the potential of implications of this AI research and scientific communication skills. A research project on a topic of your choice will give you the opportunity to develop and demonstrate your skills and understanding. At Sussex, you’ll learn from experts with an established history and reputation in AI. We have recently created Sussex AI, a Centre of Excellence, based in the Department of Informatics and led by members of the AI research group. We have strong links with other interdisciplinary centres such as: Sussex Neuroscience Sussex Digital Humanities Lab Sussex Centre for Consciousness Science. You’ll also benefit from our established industrial collaborations. When you graduate, you’ll enter a workplace with strong employer demand for skilled people in AI and data science.

Application deadline

01/09/2026

Tuition fees

Students living in United States
(International fees)

£ 26,995per 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 Sussex

University of Sussex

University of Sussex

  • University League Table

    36th

  • Campus address

    University of Sussex, Sussex House, Falmer, Brighton, East Sussex, BN1 9RH, United Kingdom

VIEW PROFILE
At Sussex, fresh thinking and international perspectives fuel teaching that matters, helping you thrive in careers anywhere in the world.
A diverse, supportive and inclusive community: at Sussex, you can explore, question and develop as an individual and meet people who will inspire you.
Sussex’s world-leading research underpins your education, meaning that what you learn is at the cutting edge of current knowledge.

Subject rankings

  • Subject ranking

    Computer Science

    35th out of 118 1

  • Entry standards

    / Max 229
    119 52%

    57th

  • Graduate prospects

    / Max 100
    78.0 78%

    51st

    19

  • Student satisfaction

    / Max 4
    3.08 77%

    52nd

    16

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