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Machine Learning in Science MSc

University of Nottingham

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University of Nottingham

Course options

8 options available

  • Qualification

    MSc - Master of Science

  • Location

    Jubilee Campus

  • Study mode

    Full time

  • Start date

    21-SEP-26

  • Duration

    1 Year

Course summary

The development and use of machine learning (ML) and artificial intelligence (AI) have revolutionised areas such as computer vision, speech recognition and language processing. On this course you will learn how to apply ML and AI techniques to real scientific problems. This will help you build vital skills, enhancing your employability in a rapidly expanding area. Graduates of this course will learn how to: identify and use relevant computational tools and programming techniques apply statistical and physical principles to break down algorithms, and explain how they work design strategies for applying machine learning to the analysis of scientific data sets.

Application deadline

24/08/2026

Tuition fees

Students living in United States
(International fees)

£ 33,000per 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 Nottingham

University of Nottingham

University of Nottingham

  • University League Table

    26th

  • Campus address

    University Park Campus, University Park Campus, Nottingham, Nottinghamshire, NG7 2RD, United Kingdom

VIEW PROFILE
A member of the Russell Group and Universitas 21 international network, Nottingham is a truly global university, welcoming students from over 150 countries.
Nottingham offers a range of prestigious international scholarships for high-achieving students from around the world.
Nottingham is known as one of the UK's top sporting universities. Its students and alumni have won Olympic, World and Commonwealth medals.

Subject rankings

  • Subject ranking

    Physics & Astronomy

    20th out of 46 6

  • Entry standards

    / Max 229
    142 62%

    26th

  • Graduate prospects

    / Max 100
    79.0 79%

    32nd

    5

  • Student satisfaction

    / Max 4
    3.08 77%

    35th

    10

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