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Advanced Machine Learning (Taught)

Course details
  • MSc (PG)
  • 1 Years
  • Full-time
  • September 2026
  • Postgraduate
Course location
University of Exeter - Streatham Campus

Course summary

Why study MSc Advanced Machine Learning at Exeter?

  • Develop deep expertise in machine learning theory and practice, from foundational algorithms to advanced deep learning, combining rigorous mathematical foundations with hands-on application.

  • Work with real-world data challenges using industry-standard tools, building the technical and analytical skills expected of machine learning specialists.

  • Benefit from Exeter’s connection to the Alan Turing Institute through the Turing University Network and access a wider research community, including Turing Fellows based at Exeter.

  • Learn within a research-led environment where teaching is delivered by active researchers in AI, machine learning and deep learning, ensuring your studies reflect the latest developments.

  • Study flexibly full-time over one year or part-time over two years, and graduate prepared for careers in AI engineering, data science, research and the wider technology sector.

To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Modules

For a full list of compulsory and optional modules please visit our course page.​

Assessment method

Please visit our course page for current assessment methods.​

How to apply

International applicants

Our International Student Support can help you with what you need to do before you arrive and when you get here as a new international student. They offer ongoing support throughout your studies whether that be setting up a bank account or arranging healthcare. Our Global Chums Buddy Scheme and our Intercultural Cafe provide opportunities to meet staff and connect with students. INTO University of Exeter provide pre-sessional English courses for international students as well as free insessional support.​

For more information about entry requirements, bursaries and scholarships and how to apply please visit our course page.

Entry requirements

We welcome applications from graduates with a 2:1 honours degree or above in computer science or a closely related discipline.

We consider each application on its individual merits, and we encourage you to apply if you have relevant professional experience or a strong technical background that falls outside these standard criteria. If English is not your first language, you will need to meet our standard English language requirements. Full details are available on our international students pages.

Please also see our guidance on essential documentation required for an initial decision on taught programme applications on the course page.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

In addition to tuition fees and living costs, your programme of study may have other costs associated with it, such as laboratory equipment or field trips. For more information about fees and additional costs please visit our course page.

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