Skip navigation
Computer Science (Artificial Intelligence) at Keele University - UCAS

Keele University

Degree level: Undergraduate

Computer Science (Artificial Intelligence)

Course options

2024 - 20252025 - 2026
Apply

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Keele University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.

Course summary

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.

How to apply

29Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Please see our website for our full range of entry requirements

Please click the following link to find out more about qualification requirements for this course

https://www.keele.ac.uk/study/undergraduate/undergraduatecourses/computerscienceartificialintelligence/#entry-reqs

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

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 2025 entry will be available soon. Although we review our fees annually and these may change, our 2024 entry fees are detailed on our course pages, and a summary is available on our website: keele.ac.uk/study/undergraduate/tuitionfeesandfunding/undergraduatetuitionfees/
Computer Science (Artificial Intelligence) at Keele University - UCAS