Taught course

Machine Learning

Royal Holloway, University of London · Department of Computer Science

Entry requirements

UK Upper Second Class (2:1) (Honours) or equivalent in Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing.

Relevant professional qualifications and relevant experience in an associated area.

Months of entry

October, September

Course content

Machine learning has already revolutionised the user experience of millions of web users the world over, and yet the discipline is still comparatively young. In time, this form of artificial intelligence will have an even more profound impact on the way we use software and interact with computer technology. Study Machine Learning at Royal Holloway, University of London and you’ll equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies.

You’ll study in one of the UK’s leading research departments, and contribute to our renowned research culture with your own Independent Project. You’ll benefit from cutting-edge research-led teaching, with the department’s research strengths including Algorithms and Applications, Machine Learning, Bioinformatics and others.
Royal Holloway’s location close to the M4 corridor – otherwise known as ‘England’s Silicon Valley’ – gives you the chance to benefit from networking and placement opportunities with some of the country’s top technology organisations. This flexible programme is also available with a year in industry option, helping you to gain invaluable skills and experience to take into your future career.
You’ll graduate with a highly desirable Masters qualification in a rapidly expanding sector with excellent graduate employability prospects. The skills and knowledge you’ll develop will be in high demand by employers including Google, Facebook, Microsoft and Yahoo, and you'll be well prepared to pursue a rewarding career.

Information for international students

IELTS with 6.5 overall. No subscore below 5.5

Fees and funding

Please visit our website for details.

Qualification and course duration


full time
12 months
part time
60 months

Course contact details

Director of Graduate Studies
01784 443432