Machine Learning MSc
Royal Holloway, University of London
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Qualification

MSc - Master of Science

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Royal Holloway, University of London

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SEP-25

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1 Year

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Qualification

MSc - Master of Science

Location

Royal Holloway, University of London

Study mode

Full Time

Start date

SEP-25

Duration

1 Year

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Qualification

MSc - Master of Science

Location

Royal Holloway, University of London

Study mode

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SEP-26

Duration

1 Year

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Qualification

MSc - Master of Science

Location

Royal Holloway, University of London

Study mode

Full Time

Start date

SEP-26

Duration

1 Year

SELECT

Qualification

MSc - Master of Science

Location

Royal Holloway, University of London

Study mode

Full Time

Start date

SEP-25

Duration

1 Year

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Computer Science
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Course info

The courseMachine 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 ...Read more

The course

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.

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules.

This programme can be taken part-time in day-release mode, allowing you to complete your degree by coming to campus once a week on fixed days.

Your future career

Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. A Master's in Machine Learning at Royal Holloway, University of London offers students excellent graduate employability prospects. You’ll develop practical skills in machine learning techniques, making you an attractive candidate to employers. You’ll also be well-placed to pursue PhD study, should you choose to progress your studies further.

You’ll develop a range of highly sought-after transferable skills, while our proximity to the M4 corridor technology hub also known as ‘England’s Silicon Valley’ - will provide you with excellent placement and networking opportunities to pave the way for a rewarding future career. We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs. Our recent graduates have gone on to enjoy roles at organisations such as British Aerospace, Microsoft, Amazon, and American Express.

  • Strong industry ties help to provide placement and networking opportunities with some of the country’s leading institutions.
  • Together with our on-site Careers and Employability Service, we run one-to-one coaching sessions and workshops, helping you to find a placement or job and lead a successful career.

Key stats

CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
25th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
38th
What students say
S
Sheece
01 Mar 24

I enjoy the support available for students and the variety of courses..Read more

P
Pauline
30 Nov 23

-pretty campus, on campusgym, good computing facilities..Read more

Modules

Modules (Year 1)
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Entry requirements

UK 2:1 Bachelor honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, or other subjects that include a strong element of Maths, Physics, and other Engineering (excluding Civil, Mechanical, Material and Biomedical Engineering). Candidates with professional qualifications or relevant professional experience in an associated area will also be considered.

Tuition fees

Students living in

Rest of World

£23,900 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

George Eliot (Postgraduate) - Accommodation Type (Self-catered, single room, shared bathroom and kitchen) - From £9335.75

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Uni info

Royal Holloway, University of London
Royal Holloway, University of London , Egham

Royal Holloway is a college within the University of London, located a short distance west of the UK capital....

Student rating
( 3.9) View reviews
CUG ranking
38th
Royal Holloway, University of London
Royal Holloway, University of London Egham Hill Egham Surrey TW20 0EX United Kingdom
Nearest train station: Egham  0.6 miles away

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