Keele University
UCAS Code: G410 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
A level
BBB in three A levels OR BBC in three A levels including B in Maths or Computer Science
Access to HE Diploma
122 UCAS points in any Access to HE Diploma, including Distinction in at least 30 Level 3 credits. Or 112 UCAS points in an Access to HE Diploma with Maths or Computer Science related content, including Distinction in at least 15 Level 3 credits. Please contact the University Admissions Team for advice on whether your chosen course would qualify.
GCSE/National 4/National 5
6 / B in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification.
International Baccalaureate Diploma Programme
555 in three Higher Levels or 30 points or 554 including 5 in Maths (any) or Computer Science or 29 points including 5 in Higher Level Maths (any) or Computer Science
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
DDM or DMM in any of the following BTEC Extended Diplomas / National Extended Diplomas: Engineering
T Level
Merit in any T level
UCAS Tariff
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
Learn to apply advanced algorithms and analysis techniques to big data sets to make predictions, draw conclusions, and program the AI software of the future. Our research-focused BSc combines a solid foundation in computing, mathematics, and programming with specialisation in advanced areas such as machine learning. From engaging with real-world challenges to spending time in industry, you will graduate with the practical, technical and logical reasoning skills sought by employers.
**Why choose this course?**
- Accredited by the British Computer Society - The Chartered Institute for IT
- Graduate with a named specialism on your degree to highlight your skills to employers
- Enhance your employability by learning to program in Python and Java
- Be career ready by gaining transferrable, professional and employability skills
- Access a wide range of equipment including supercomputer facilities and a VR lab
By following the artificial intelligence pathway through the degree programme, you will have the opportunity to discover modern approaches to artificial intelligence including computational intelligence and nature-inspired algorithms. You will explore practical application of cutting-edge techniques on real-world problems and later spend time researching current research topics and writing a novel research proposal. The specialism includes study of artificial neural networks, evolutionary computation, as well as covering adaptive behaviour in natural systems from the perspective of computational neuroscience.
Throughout the programme, you’ll engage with real-world scenarios to enhance your learning. You can spend time in industry with a year-long or modular placement, develop professional and employability skills, and pursue a personal interest in computer science by proposing a project that showcases your knowledge and skills. You can also personalise your degree, by choosing from a variety of optional modules. This gives you flexibility to explore new topics or deep dive into areas you are passionate about.
In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to an AI-related technical, software, research or business-related problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management.
**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
Keele University
School of Computer Science and Mathematics
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?
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.
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.
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.
£21k
£34k
£32k
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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Teaching Excellence Framework (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).
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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