Artificial Intelligence MSc
Royal Holloway, University of London
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 3.9) View reviews

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Qualification

MSc - Master of Science

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Location

Royal Holloway, University of London

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Full Time

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Start date

SEP-25

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Duration

1 Year

Course info

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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

Full Time

Start date

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

SELECT

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Computer Science
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Rest of World
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Course info

The courseEquipped with Artificial Intelligence techniques, today’s systems can teach themselves to perform tasks almost as well as humans can. This degree provides you with the foundational knowledge and the practical skills required to operate with these disruptive technologies.Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’Graduate with a Masters degree leading to excellent graduate employability prospects.Tailor your learning with a wide range of ...Read more

The course

Equipped with Artificial Intelligence techniques, today’s systems can teach themselves to perform tasks almost as well as humans can. This degree provides you with the foundational knowledge and the practical skills required to operate with these disruptive technologies.

  • Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’
  • Graduate with a Master's degree leading to excellent graduate employability prospects.
  • Tailor your learning with a wide range of engaging optional modules
  • Choose from a one-year programme structure or add an optional year in industry.

Teaching & assessment

The programme will include modules in

  • Artificial Intelligence Principles and Techniques
  • Natural Language Processing
  • Autonomous Intelligent Systems
  • Experimental Design
  • Data Analysis
  • Programming for Data Analysis
  • Machine Learning
  • Deep Learning
  • Semantic Web
  • Visualisation and Exploratory Analysis

Your future career

Our proximity to the M4 corridor also known as 'England’s Silicon Valley' – provides excellent networking opportunities with some of the country’s top technology institutions. 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 graduates enter into successful careers in academia or in companies or organisations operating in highly competitive areas. In recent years, these have included Amazon, American Express, BGL Group, Bupa, Capita, Centrica, EY, Facebook, Google, Hortonworks, JP Morgan, Microsoft, ONS, PWC, QuintilesIMS, Rolls Royce, Shell, UBS, VMware, Xerox and the Z/Yen Group.

In addition to the support provided by The Careers and Employability Service, the department has a dedicated administrator and an academic who coordinates and oversees placements and job opportunities.

  • 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)
IDP Connect

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

IDP Connect

Latest reviews

Latest Artificial Intelligence (AI) reviews

Artificial Intelligence (AI)
Artificial Intelligence (AI)
S
Sheece
01 Mar 24
Computer Science (Artificial Intelligence)
I enjoy the support available for students and the variety of courses...
Read more
P
Pauline
30 Nov 23
Computer Science (Artificial Intelligence)
-pretty campus, on campusgym, good computing facilities...
Read more
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How Artificial Intelligence (AI) students rated:

Student rating
( 4.0) 6 reviews
5 star
34%
4 stars
33%
3 stars
33%
2 stars
0%
1 star
0%

How all students rated:

Student rating
( 3.9) 645 reviews
5 star
21%
4 stars
54%
3 stars
22%
2 stars
2%
1 star
1%
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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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