Taught course

Artificial Intelligence and Machine Learning for Science

Queen Mary, University of London · Physics

Entry requirements

A 2:1 undergraduate degree in Mathematics, Physics, Chemistry, Computing, Engineering or other STEM subject.

Months of entry


Course content


Artificial Intelligence and Machine learning have become a revolutionary force in science and medicine, contributing to numerous important breakthroughs in recent years. From climate change to drug discovery to particle physics, we are witnessing unprecedented advances in automation, data analysis, predictive modelling, and simulations.

This cross-disciplinary masters programme will teach you the fundamentals of AI and Machine Learning, and how these can be applied to real-world scientific problems.

Programme Highlights

  • Develop the coding and programming skills required to apply artificial intelligence to a wide range of fields.
  • Work with real datasets from our world-leading research with links to organisations such as CERN, NASA and LIGO.
  • Study the essential mathematical concepts that underpin artificial intelligence and machine learning such as probability, statistics and time series.
  • Learn from expert academics, including former industry practitioners, Fellows of the Alan Turing Institute and members of Queen Mary’s Digital Environment Research Institute (DERI).
  • No programming experience required.

Career outcomes

The demand for qualified AI and Machine Learning experts is growing and we are witnessing an explosion of AI opportunities in London. From environmental science to healthcare, organisations are seeking skilled graduates with hands-on coding and programming skills. Given the broad scope of this MSc and the focus on developing strong theoretical and practical skills, graduates may wish to consider other sectors such as communications, finance or retail.

Highly sought-after Machine Learning Engineers can earn over £60,000 per year in the UK (Source: Indeed).

Information for international students

Please visit our website to learn more about Visas and Engliush Language requirements.

Fees and funding

UK students
International students

There are a number of ways you can fund your postgraduate degree.

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification


AssessmentWhat kind of work will I be doing? (proportionally)
Written/ formal examinations67

Course contact details

Dr Marcella Bona