We use cookies to allow us and selected partners to improve your experience and our advertising. By continuing to browse you consent to our use of cookies. You can understand more and change your cookies preferences here.

Royal Holloway, University of London

Computer Science (Artificial Intelligence)

UCAS Code: G4G7

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

A,B,B-A,A,B

Where an applicant is taking the EPQ alongside A-levels, the EPQ will be taken into consideration and result in lower A-level grades being required. Socio-economics factors which may have impacted an applicant's education will be taken into consideration and alternative offers may be made to these applicants. Required subject: A Level Computer Science or Mathematics or Physics and GCSE grade B/6 in Mathematics.

Access to HE Diploma

D:30,M:15

Pass in a relevant subject with at least 30 level 3 credits at Distinction and the remaining level 3 credits at Merit. Please note that the Access to Higher Education Diploma will only be acceptable if the applicant has had a considerable break from education.

Applicants with the Cambridge Pre-U are strongly encouraged to apply to Royal Holloway. Offers will be made on the basis of equivalent A-Level grades as can be found on the Royal Holloway website.

GCSE/National 4/National 5

We require at least five GCSEs at grade A*-C or 9 - 4 including English and B/6 in Mathematics.

International Baccalaureate Diploma Programme

32

6,5,5 at Higher Level including either Higher Level Mathematics or Higher Level Computer Science or Higher Level Physics with a minimum of 32 points overall.

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)

H2,H2,H3,H3,H3

H2,H2,H3,H3,H3 including H3 in either Mathematics or H3 in Physics or H3 Computer Science.

Pearson BTEC Level 3 National Diploma (first teaching from September 2016)

DD

Plus A-level grade A in either Mathematics or Physics or Computer Science.

Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)

D

Plus A-level grades AB including one of Mathematics or Physics or Computer Science.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

D*DD

In a relevant subject (with significant programming content). Please see our website for the specific BTEC modules you must take in order to meet the entry requirements for this course.

Scottish Advanced Higher

A,A,B-A,B,B

Including either Mathematics, Physics or Computer Science.

Scottish Higher

A,A,A,B,B

Including either Mathematics, Physics or Computer Science.

Requirements are as for A-levels, where one non-subject-specified A-level can be replaced by the same grade in the Welsh Baccalaureate - Advanced Skills Challenge Certificate.

UCAS Tariff

128-160

We've calculated how many Ucas points you'll need for this course.

73%
Applicants receiving offers

About this course


Course option

3.0years

Full-time | 2020

Subjects

Artificial intelligence

Computer science

Artificial intelligence (AI) is one of the most exciting and rapidly developing aspects of 21st century technology. It pervades our everyday lives, in image and voice recognition software, data security, intelligent web searching, drones, driverless vehicles, computer games, space exploration and cutting-edge medical advances, and its potential is vast. This is the perfect time to get involved. Our specialist three-year programme will give you all the knowledge, skills and practical experience you need to pursue a career at the cutting edge of AI and help to turn technological innovations into meaningful solutions that transform the way we live.

You will learn from leading researchers in the field, covering courses such as machine learning, intelligent agents, bioinformatics, information security and computational finance, and benefit from access to our internationally renowned Computer Learning Research Centre. All this will be underpinned by a solid grounding in the fundamentals of computing and all the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics. From the outset you will be experimenting with programming games, robots, Gadgeteer kits, Subversion, JUnit testing, Scrum-based Agile software and more, in our well-equipped laboratories. Alongside core modules in all three years, you will have the flexibility to choose between a range of optional courses, according to your interests.

We are a highly respected, research-focused department with a friendly approach and award-winning teaching. We offer a summer work placement programme and a dedicated personal adviser to guide you through your studies. You will also be welcome to join our Computing Society, a thriving community of more than 400 computer enthusiasts from across the College. We are one of only seven departments in the UK to hold the Athena SWAN bronze award for our commitment to increasing female participation in computer science. You will graduate with a wide range of technical skills in computing and AI, as well as valuable transferrable skills such as team working, communication, time management and self-motivation, ready to apply to the world of work.

A state-of-the-art Big Data cluster comprising 32 processors, 32 Terabytes of disk storage, GPU and RDMA networking allows you to work on real case studies.

We develop both fundamental theory and practical algorithms that feed into the analytics methods and techniques that are in use today.

Our research involves cognitive and autonomous agents, automated planning, scheduling and domain-independent search control, and applications in surveillance operations, disaster response missions, and space operations.

We collaborate with Microsoft Research, IBM Research, NEC Labs Europe, Facebook, Google, and NASA, which informs our teaching.

Modules

Please refer to our website for information:
https://www.royalholloway.ac.uk/courses/undergraduate/computer-science/computer-science-artificial-intelligence.aspx

Assessment methods

Your course will be assessed by a combination of examinations and in-course assignments in the form of essays or presentations.

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£9,250
per year
International
£20,900
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

Royal Holloway, University of London

Department:

Computer Science

TEF rating:

Calculate your living costs

See how much you'll need to live on at your chosen university, with our student budget calculator.

See your living costs
Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

82%
high
Computer science

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Artificial intelligence

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.


Who studies this subject and how do they get on?

53%
UK students
47%
International students
80%
Male students
20%
Female students
77%
2:1 or above
13%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
B

Computer science

Teaching and learning

79%
Staff make the subject interesting
85%
Staff are good at explaining things
74%
Ideas and concepts are explored in-depth
86%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

86%
Library resources
82%
IT resources
92%
Course specific equipment and facilities
68%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

72%
UK students
28%
International students
80%
Male students
20%
Female students
77%
2:1 or above
7%
Drop out rate

Most popular A-Levels studied (and grade achieved)

A
B
B

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Artificial intelligence

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£28,000
high
Average annual salary
97%
high
Employed or in further education
48%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
9%
Business, finance and related associate professionals
6%
Information technology technicians
What do graduate employment figures really tell you?

Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.

Computer science

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£28,000
high
Average annual salary
97%
high
Employed or in further education
57%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
9%
Business, finance and related associate professionals
6%
Information technology technicians
What do graduate employment figures really tell you?

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Artificial intelligence

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£30k

£30k

£32k

£32k

£40k

£40k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Computer science

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£30k

£30k

£32k

£32k

£40k

£40k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Share this page

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

Have a question about this info? Learn more here

Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here