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Machine Learning in Science MSc

University of Nottingham

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University Park Campus

  • Study mode

    Full time

  • Start date

    SEP

  • Duration

    1 year

Course summary

Course overview

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

In addition, you will develop a broad set of transferable skills, including communication, critical thinking, and problem-solving.

You will have the opportunity to develop your own research project on a topic of your choice. Previous projects have looked at:

  • Galaxy Cluster Emulation
  • Assembly of large scale structure in the Universe
  • Application of ML to Fintech

Graduate destinations

Machine learning and artificial intelligence have become central for the economy and society. Graduates are highly sought after in data intensive sectors, including IT, finance, consultancy, manufacturing, as well as academic and industrial research and development.

Tuition fees

Students living in United States
(international fees)

£ 25,000per 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 League Table

    24th

  • Campus address

    University of Nottingham, University Park, Nottingham, Nottingham, NG7 2RD, England

The university offers a range of scholarships specifically for international applicants studying at any level.
A large number of courses at the university include a placement or work experience element, ensuring that students receive first-hand professional experience.
In September every year, the university runs a free welcome programme for new international students from outside the EU joining the University of Nottingham.

Subject rankings

  • Subject ranking

    25th out of 113 10

  • Entry standards

    / Max 236
    154 69%

    23rd

    7
  • Graduate prospects

    / Max 100
    90.0 90%

    30th

    3
  • Student satisfaction

    / Max 5
    4.03 81%

    33rd

    7

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