Computer Science (Artificial Intelligence)
Royal Holloway, University of London
UCAS Code: G4G7 | Bachelor of Science (with Honours) - BSc (Hons)
Royal Holloway, University of London
UCAS Code: G4G7 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
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
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
6,6,5 at Higher Level including either Physics, Computer Science or 5 HL Maths: Analysis & Approaches/6 HL Maths: Applications & Interpretation
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
H2,H2,H2,H3,H3 including H3 in either Mathematics or H3 in Physics or H3 Computer Science.
Pearson BTEC Diploma (QCF)
Plus A-level grade B in either Mathematics or Physics or Computer Science.
Pearson BTEC Extended Diploma (QCF)
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.
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Plus A-level grade B in either Mathematics or Physics or Computer Science.
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
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)
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
Including either Mathematics, Physics or Computer Science.
Scottish Higher
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
We've calculated how many Ucas points you'll need for this course.
About this course
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:
The Uni
Royal Holloway, University of London
Computer Science
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.
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.
Computer science
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Artificial intelligence
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
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.
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.
Top job areas of graduates
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.
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.
Top job areas of graduates
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.
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.
£28k
£39k
£56k
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.
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.
£28k
£39k
£56k
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 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).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
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.
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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.
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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
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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?
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