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 - Th...
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. <br/><br/>**Why choose this course?** <br/><br/><br/>- Accredited by the British Computer Society - The Chartered Institute for IT<br/><br/><br/>- Graduate with a named specialism on your degree to highlight your skills to employers<br/><br/><br/>- Enhance your employability by learning to program in Python and Java<br/><br/><br/>- Be career ready by gaining transferrable, professional and employability skills <br/><br/><br/>- Access a wide range of equipment including supercomputer facilities and a VR lab<br/><br/><br/>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.<br/><br/>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.<br/><br/>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.<br/><br/>**About Keele**<br/><br/>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.<br/><br/>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.<br/><br/>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.
3 options available
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Course Details
Information
Study Mode
Sandwich
Duration
4 Years
Start Date
09/2026
Campus
Main Site
14 January
Application deadline
Provider Details
Codes/info
Course Code
G410
Institution Code
K12
Points of Entry
Year 1
120
D: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.
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
DDM
DDM or DMM in any of the following BTEC Extended Diplomas / National Extended Diplomas: Engineering
6 / B in GCSE Maths or Level 2 Functional Skills Maths, plus an English language qualification.
B,B,B
BBB in three A levels OR BBC in three A levels including B in Maths or Computer Science
M
Merit in any T level
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