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Royal Holloway, University of London

Computer Science (Artificial Intelligence)

UCAS Code: GG47

Master of Science - MSci

Entry requirements


Sorry, no information to show

About this course


Course option

4years

Full-time | 2019

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

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

Assessment methods

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

The Uni


Course location:

Royal Holloway, University of London

Department:

Computer Science

TEF rating:

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What students say


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

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?

57%
UK students
43%
International students
77%
Male students
23%
Female students
54%
2:1 or above
7%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

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
41%
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.

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.

£26k

£26k

£32k

£32k

£36k

£36k

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.

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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.

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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?

Have a question about this info? Learn more here