Get degree ideas using our A level explorer tool

Computer Science (Artificial Intelligence)

Entry requirements


A level

B,B,B

BBB in three A levels

Access to HE Diploma

D:30

122 UCAS points in any Access to HE Diploma including Distinction in at least 30 Level 3 credits

GCSE/National 4/National 5

4 / C in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification.

International Baccalaureate Diploma Programme

30

555 in three Higher Levels, OR 30 points

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

DDM

DDM in any BTEC Extended Diploma / National Extended Diploma

T Level

M

Merit in any T level

UCAS Tariff

120

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

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3years

Full-time | 2024

Other options

4 years | Sandwich including industrial placement | 2024

4 years | Sandwich with time abroad | 2024

Subject

Artificial intelligence

Gain a solid grounding in the key themes underpinning contemporary computer science to explore advanced topics in artificial intelligence. From computational intelligence to nature-inspired algorithms - explore practical applications of cutting-edge techniques on real-world problems, to prepare you for a career in a sector in constant evolution.

**Why choose this course?**

- Accredited by the British Computer Society - The Chartered Institute for IT

- Gain recognition of your specialism in AI named in your degree title

- All necessary mathematics knowledge is provided within relevant modules

- Gain first-hand experience in industry with our Placement Year option

- Access a wide range of equipment including supercomputer facilities, a VR lab and a Maker Space

From powering human-like non-player characters in gaming to discovering patterns that could lead to new advancements in medicine, artificial intelligence (AI) is revolutionising the industries with its applications and help in solving complex problems. Our Computer Science (Artificial Intelligence) BSc will enable you to gain a sound academic grounding in the discipline of Computer Science, an understanding of the professional issues relevant to your future working life and specialist knowledge in AI - informed by our own research and industry trends.

Your final year will culminate with the opportunity to deep dive into research focused modules relating to the specialist area of Artificial Intelligence. You will discover modern approaches to AI including computational intelligence and nature-inspired algorithms, explore artificial neural networks, evolutionary computation, as well as covering adaptive behaviour in natural systems from the perspective of computational neuroscience. You will also spend time exploring current research topics and writing a novel final year project related to your specialism.

**About Keele**

Keele University was established in 1949 by the former Vice-Chancellor of Oxford University. Founded to meet the needs of a changing world, Keele has always had a pioneering vision to be a different kind of university.

We excel in both teaching and research, with some of the most satisfied students in England, and research that is changing lives for the better at a regional, national and global level.

Our beautiful 600-acre campus is one of the biggest in Britain – but all the most important services and facilities are on your doorstep, with accommodation, teaching spaces, facilities including a medical centre, sports centre and pharmacy, and a range of shops, eateries and entertainment venues – including the Students’ Union – clustered around the centre.

Modules

For a list of indicative modules please visit the course page on the Keele University website.

The Uni


Course location:

Keele University

Department:

Keele (Central)

Read full university profile

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.

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?

93%
UK students
7%
International students
81%
Male students
19%
Female students
77%
2:1 or above
11%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
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.

£21,000
med
Average annual salary
81%
low
Employed or in further education

Top job areas of graduates

51%
Information technology and telecommunications professionals
8%
Information technology technicians
4%
Secretarial and related occupations

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.

£23k

£23k

£34k

£34k

£39k

£39k

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.

Explore these similar courses...

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).

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.

Have a question about this info? Learn more here

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.

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