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Royal Holloway, University of London

Computer Science (Artificial Intelligence)

UCAS Code: GG47

Master of Science - MSci

Entry requirements


A level

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: Computer Science or Mathematics or Physics. General Studies and Critical thinking A-levels are not accepted At least five GCSEs at grade A*-C or 9-4 including English and Mathematics. Please note that for students taking the BTEC Extended Diploma, GCSE Mathematics is also required at minimum grade B or 6.

Access to HE Diploma

D:24,M:21

Pass in a relevant subject with at least 24 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 At least five GCSEs at grade A*-C or 9-4 including English and Mathematics. Please note that for students taking the BTEC Extended Diploma, GCSE Mathematics is also required at minimum grade B or 6.

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.

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 follows: D3 = A, M1 or M2 = B.

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.

Irish Leaving Certificate - Higher Level

H2,H2,H3,H3,H3

H2,H2,H3,H3,H3 including H3 in either Mathematics or H3 in Physics

Pearson BTEC Level 3 National Diploma

DD

Distinction, Distinction plus A-level grade B in either Mathematics or Physics or Computer Science At least five GCSEs at grade A*-C or 9-4 including English and Mathematics. Please note that for students taking the BTEC Extended Diploma, GCSE Mathematics is also required at minimum grade B or 6.

Pearson BTEC Level 3 National Extended Certificate

D

Distinction plus A-level grades BB including one of Mathematics or Physics or Computer Science At least five GCSEs at grade A*-C or 9-4 including English and Mathematics. Please note that for students taking the BTEC Extended Diploma, GCSE Mathematics is also required at minimum grade B or 6.

Pearson BTEC Level 3 National Extended Diploma

DDD

Distinction, Distinction, Distinction in a relevant subject (with significant programming content) plus at least B or 6 in GCSE Mathematics At least five GCSEs at grade A*-C or 9-4 including English and Mathematics. Please note that for students taking the BTEC Extended Diploma, GCSE Mathematics is also required at minimum grade B or 6.

Scottish Advanced Higher

A,A,B-A,B,B

AAB-ABB including either Mathematics, Physics or Computer Science

Scottish Higher

A,A,A,B,B

AAABB including either Mathematics, Physics or Computer Science

UCAS Tariff

136-160

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

100%
Applicants receiving offers

About this course


Course option

4years

Full-time | 2018

Subject

Artificial intelligence

Our advanced, four-year MSci with a dedicated Artificial Intelligence (AI) pathway is designed to give you the knowledge, skills and practical experience to pursue a high level career in computing and AI. It offers a thorough grounding in computing as well as an in-depth study of the latest trends and technologies in the rapidly evolving world of AI. You will explore an AI related topic of your choice and showcase your abilities in an extended final year project. You will also have the chance to take courses from our MSc programmes and to graduate with an integrated masters qualification. It is particularly recommended for students who want to go on to postgraduate study or a scientific or technical career. You will not only enhance your knowledge and understanding of the subject but also gain a competitive edge over graduates from standard three-year BSc programmes.

AI is one of the most exciting and rapidly developing aspects of 21st century technology. On this programme you will learn from leading researchers in the field, covering topics such as computer learning, intelligent agents, neural networks, 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 thorough grounding in the fundamentals of computing and the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics. From the outset you be experimenting with programming games, robots, Gadgeteer kits, Subversion, JUnit testing, Scrum-based Agile software and more, in our well-equipped laboratories. Alongside our core modules you will have the flexibility to choose from a range of optional courses. There is also the possibility of transferring onto our five-year, year in industry programme subject to good academic progress.

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.

+ Get ahead of the game by studying at an advanced level, drawing on elements of our masters level programme.

+ Prepare yourself with the knowledge, skills and practical experience to pursue a high level career in artificial intelligence or computing.

+ Join an elite department, ranked 11th in the UK for the quality of its research output (Research Exercise Framework 2014).

+ 97% of our students said our programmes are well organised, and 92% said they are intellectually stimulating, (National Student Survey 2015).

+ This programme is accredited by BCS, The Chartered Institute for IT, and the European Quality Assurance Network for Informatics Education (EQANIE).

Modules

Our courses cover all the essentials of application development, from programming to software engineering, databases to web development, computer graphics to robotics, and information security. You will also explore the fundamentals of computing – what computers do, and how efficiently they do it – and learn about a host of advanced technologies, from computer games, digital sound and music, to concurrent and parallel programming, machine learning, bioinformatics, the internet of things, computational finance and more. Different courses such as Computer Science (AI) have the corresponding emphasis. For more information, see Course Finder.

Assessment methods

We firmly believe that how we teach you is at least as important as what we teach, and we know the importance of giving you the time and space to experiment and put theory into practice. We encourage you to use your creativity, both in project teams and independently, and to have fun while you learn. We use a variety of teaching methods, including lectures, small-group tutorials, supervised computer lab classes and problem-solving sessions. You will also be expected to complete guided independent study and group work. Our programming and software engineering teaching is very hands on, allowing you to learn at your own pace, whatever your previous level of experience. You will also attend laboratory classes on games and robotics in year 1, giving you the chance to develop real applications with imagination and creativity from the outset.

We are proud of our award-winning teaching. Professor Dave Cohen won a College Excellence Teaching Prize for the re-design of our second-year software engineering courses, and he was shortlisted for a Times Higher Education Award for Most Innovative Teacher of the Year. The British Computer Society (BCS) has distinguished our software engineering teaching as an exemplar of 'best practice' in computer science education.

Assessment is through a mixture of examinations and coursework. Most course units have a two or three-hour written examination taken at the end of the year in which they are taught, but around half of your final award will come from assessed coursework, which could include project reports, essays, oral presentations and software submissions.

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
£17,500
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:
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.

84%
high
Artificial intelligence

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.

Computing

Teaching and learning

87%
Staff make the subject interesting
95%
Staff are good at explaining things
90%
Ideas and concepts are explored in-depth
91%
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

79%
Library resources
73%
IT resources
95%
Course specific equipment and facilities
89%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

48%
UK students
52%
International students
72%
Male students
28%
Female students
64%
2:1 or above
9%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
B
392

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.

£19,500
med
Average annual salary
96%
high
Employed or in further education
32%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

8%
Sales, marketing and related associate professionals
7%
Other elementary services occupations
6%
Sales assistants and retail cashiers
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.

What about your long term prospects?

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

Computing

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

£25k

£25k

£36k

£36k

£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.

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

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

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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.

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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.

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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.

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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