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Aberystwyth University

Computer Science and Artificial Intelligence

UCAS Code: GG4R

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

Entry requirements


A level

B,B,C

Pass in Access qualification in a relevant subject with Merit in 50% of units at level 3.

International Baccalaureate Diploma Programme

28

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

DMM

UCAS Tariff

112

Aberystwyth University welcomes the Welsh Baccalaureate as a valuable qualification in its own right and considers completion of the Welsh Baccalaureate Advanced Skills Challenge Certificate to be equivalent to an A level grade.

89%
Applicants receiving offers

About this course


Course option

3years

Full-time | 2019

Subjects

Artificial intelligence

Computer science

In choosing to study Computer Science and Artificial Intelligence (AI) degree at Aberystwyth University, you will be immersed in the fundamentals of computer science and the very latest techniques in AI. With core coverage that includes operating systems, telecommunications, database management, HCI, Agile methodologies and object orientation and an in-depth study of a wide range of AI and Machine Learning techniques the structure of this degree in Computer Science allows you to develop the skills needed to solve challenging and complex problems.

At Aberystwyth University, we endeavour to provide you with an exceptional and memorable student experience. By studying this degree, students will have access to dedicated Linux, Mac OS X laboratories and central servers as well as robotic equipment including Ardvinos, mobile robots and sailing robots.

Our degree is accredited by the **BCS (the Chartered Institute for IT) on behalf of the Engineering Council,** which gives you a head start when you enter the competitive job market. You will be taught by lecturers who have close links with the industry and software engineering conferences.

Computer Science and AI involves the development of AI systems and is becoming increasingly relevant in commercial and domestic life. Examples of current and emerging AI systems include data mining in huge data sets, supply chain management systems, time series prediction, and many others. On this course, you will participate in a fascinating and commercially important field of research. You will gain a firm foundation in computing skills such as programming, software design, and computer architecture, and will learn specialised skills in the areas of AI and interaction with related areas of study, such as intelligent agents in games programming and mobile computing.

Studying for a degree in Computer Science and AI will equip you with a range of transferable skills which are highly valued by employers. These include: research and data analysis, mathematical and computational skills, independent and team-working, organisation, implementation and self-motivation. The University operates a Year in Employment Scheme (YES), which offers you a fantastic opportunity to take a year out between your second and third year to work in an organisation in the UK or overseas. YES provides a very rewarding and worthwhile experience and can help you to stand out from the crowd in a very competitive job market. GO Wales is administered by the University’s Career Service and works with local businesses to create paid work placements for students. It helps you gain valuable work experience which will enhance your CV.

Alongside the skills necessary for most typical jobs in the software industry, your degree will give you an advantage in fields such as data mining and optimisation. In addition, you will acquire transferable skills, such as communication and problem-solving abilities, needed for success in a wider range of careers.

Tuition fees

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

Channel Islands
£9,000
per year
England
£9,000
per year
EU
£9,000
per year
International
£15,200
per year
Northern Ireland
£9,000
per year
Scotland
£9,000
per year
Wales
£9,000
per year

Extra funding

Aberystwyth University offers a valuable package of scholarships and bursaries to support students. Our long-established Entrance Examination competition means you could get up to £2,000 a year towards your living and study costs. You can combine that with any or all of our other awards, to make your financial package more valuable. Our awards include Sport and Music Scholarships, Bursaries for Care Leavers/Young Carers and a range of department specific awards. Please visit our website for full details.

The Uni


Course location:

Main Site (Aberystwyth)

Department:

Department of Computer Science

TEF rating:

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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.

78%
med
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?

74%
UK students
26%
International students
88%
Male students
12%
Female students
61%
2:1 or above
12%
Drop out rate

Most popular A-Levels studied (and grade achieved)

C
D
E

Computer science

Teaching and learning

78%
Staff make the subject interesting
85%
Staff are good at explaining things
88%
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

92%
Library resources
83%
IT resources
93%
Course specific equipment and facilities
83%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

80%
UK students
20%
International students
87%
Male students
13%
Female students
59%
2:1 or above
13%
Drop out rate

Most popular A-Levels studied (and grade achieved)

D
C
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.

£26,000
med
Average annual salary
99%
high
Employed or in further education
97%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

65%
Information technology and telecommunications professionals
7%
Information technology technicians
5%
Teaching and educational professionals
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.

£26,500
med
Average annual salary
100%
high
Employed or in further education
95%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
6%
Information technology technicians
5%
Teaching and educational professionals
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.

£24k

£24k

£24k

£24k

£30k

£30k

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.

£24k

£24k

£24k

£24k

£30k

£30k

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.

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