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Computer Science with Artificial Intelligence

Course details
  • 2 Study options
  • Undergraduate
Course location
Main Site

Course summary

Discover how computer science and artificial intelligence are transforming the world around us, guided by leading researchers in the field. Our Computer Science with Artificial Intelligence BSc explores how these technologies shape today’s digital landscape, while providing you with the skills to design intelligent systems and analyse complex data. Through hands-on learning, you’ll graduate ready to pursue a career in areas such as AI, data science, public policy, or continue to further study.

Why choose this course?

  • Explore cutting-edge topics including deep learning, data science, programming, software development and ethics

  • Discover modern approaches to artificial intelligence, including computational intelligence and nature-inspired algorithms

  • Gain real-world experience, from an industry-linked research project to optional work placement

  • Employability skills are woven throughout the course

Exciting developments in computer science and artificial intelligence are transforming society, from neural networks and new medical diagnostic tools to self‑driving cars. Studying Computer Science with Artificial Intelligence at Keele will give you the opportunity to explore technologies and solutions for a rapidly changing digital economy.

Initial modules will provide the mathematical foundations essential for AI, while introducing the principles, structures and algorithms that underpin modern intelligent systems. Building core programming skills in Python and expertise in web technologies, databases and computer hardware, you will develop a human-centred approach to software development.

As you progress, advanced study in AI will develop your practical expertise in data science, machine learning, data ethics and governance. You'll also focus on modern techniques such as deep learning and generative AI applied to text analysis, computer vision and pattern recognition. We'll also prepare you to develop a robust understanding of both legal and ethical challenges and the potential impact of AI on society. In your final year, you will complete an independent AI project with the option to collaborate with industry. This is your chance to put your skills into practice, develop innovative solutions and showcase what you can do.

Throughout the programme, you will benefit from a variety of teaching and learning activities informed by and involving our partners from industry. This includes a series of guest lectures from organisations such as Microsoft, the BBC, and CapGemini, as well as grouped and individual projects potentially involving real-world data from industry.

From dedicated professional development sessions and industry guest lectures to tailored careers support, employability is embedded throughout your studies. The programme also includes the option to enhance your experience through either a flexible-short or year-long industry placement. Alternatively, if you’re interested in teaching, a specialist option offers experience in educational settings.

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.

How to apply

Application codes

Institution code:
K12

This course may be available at alternative locations, please check if other course options are available.

Course options

Entry requirements

Typical qualification requirements

UCAS Tariff
Offer: 120

A level
BBB

BBB in three A levels
OR
BBC in three A levels including B in Maths or Computer Science

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

DDM or DMM in any of the following BTEC Extended Diplomas / National Extended Diplomas:
Engineering

Access to HE Diploma
Distinction: 30

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.

International Baccalaureate Diploma Programme
Offer: 30

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

GCSE/National 4/National 5

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

T Level
M

Merit in any T level

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

When we consider an application we take into account a wide range of information, including the context in which an applicant has gained their qualifications, work experience (paid or unpaid), extra-curricular activities and personal circumstances. A number of our applicants offer a combined portfolio or additional qualifications and these will also be taken into account. In some instances, we may make an alternative offer which will differ from the published grades.

Learn more on the Keele University website

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

This course may have Historical entry grades data available, please select a course option to view.

Course options

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

Please note, our fees for 2027 entry will be available soon. Although we review our fees annually and these may change, our 2026 entry fees are detailed on our course pages, and a summary is available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/

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