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  • DeadlineStudy Details:

    MSc 1 year full time or 2 years part time

Course Description

The course

Machine Learning (MSc)

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.

Skills that you will acquire include the ability to:

develop, validate, and use effectively machine learning and statistical models

work with structured, unstructured, and time-series data

extract value and insight from data

work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks

develop and use universal prediction algorithms, including universal strategies for dynamic investment

complement predictions with provably valid measures of accuracy and reliability.

work with software packages such as MATLAB and R

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.

You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time Vladimir Vapnik and Alexey Chervonenkis, the inventors of Support Vector Machines, were both professors here. We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk, the inventors of conformal predictors theory, and Chris Watkins, who developed ‘Q-learning’, a work that is fundamental to planning and control.

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.

Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’.

Graduate with a Master’s degree offering excellent graduate employability prospects.

Tailor your learning with a wide range of engaging optional modules.

From time to time, we make changes to our courses to improve the student and learning experience, and this is particularly the case as we continue to respond to the Covid-19 pandemic. If we make a significant change to your chosen course, we’ll let you know as soon as we can.

Entry Requirements

2:1

Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing.

Normally we require a UK 2:1 (Honours) or equivalent in relevant subjects but we will consider high 2:2 or relevant work experience. Candidates with professional qualifications in an associated area may be considered. Where a ‘good 2:2’ is considered, we would normally define this as reflecting a profile of 57% or above.

International & EU requirements

English language requirements

All teaching at Royal Holloway is in English. You will therefore need to have good enough written and spoken English to cope with your studies right from the start.

The scores we require

IELTS: 6.5 overall. No subscore lower than 5.5.

Pearson Test of English: 61 overall. Writing 54. No subscore lower than 51.

Trinity College London Integrated Skills in English (ISE): ISE III.

Country-specific requirements

For more information about country-specific entry requirements for your country please see here.

Fees

For fees and funding options, please visit website to find out more

Find out more and apply

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