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Artificial Intelligence and Data Science at Keele University - UCAS

Keele University

Degree level: Postgraduate

Artificial Intelligence and Data Science (Taught)

Course options

2024 - 20252025 - 2026
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Open days

4Dec
Keele University - Postgraduate Open Event
Postgraduate

Course summary

Our MSc is part of a £30m Government initiative to address the shortage of Artificial Intelligence (AI) and data specialists. Open to students from a wide variety of backgrounds, it draws on our internationally recognised research. You’ll learn about the underlying principles and concepts of AI and data science, including areas of mathematics, data analytics, programming, system design, cloud computing, machine learning, visualisation and more. Why choose this course?

  • Research-led teaching capitalises on our internationally recognised expertise in computational neuroscience, evolutionary systems, machine learning and AI, software and systems engineering
  • Develop and then put your professional and technical skills to use solving a real-world problem on either an industrial placement or MSc Project
  • Access to specialist equipment, including over 100 PCs with relevant hardware and software (Microsoft and Linux), gaming lab, high-performance computing infrastructure and Makerspace
  • Small class sizes and strong, inclusive research community, recently extended to the academic network of the Alan Turing Institute, the UK’s national institute for data science and AI
Digital skills have a crucial role to play in helping to drive growth, productivity and innovation across the rest of the economy, yet one in three businesses say their workforce currently lacks the advanced digital skills they need. This MSc offers a postgraduate pathway to progress and excel in a career as a data scientist, providing digital skills and knowledge so you can support a diverse range of industries, including medicine, transport, social sciences, biosciences and sports business, to take advantage of the efficiencies and insight new technology can generate. To ensure course content meets employer needs, the curriculum has been developed with feedback from companies who sit on our Employer Steering Group; local businesses like Synectics Solutions Ltd and Powelectrics, as well as multinationals, such as Santander. 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 information regarding modules for this course, please visit the course page on the Keele University website.

Entry requirements

2:2 degree in any subject or demonstrated relevant professional qualifications or experience

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

Information relating to the tuition fees and funding options for this course can be viewed on the Keele University website. https://www.keele.ac.uk/study/postgraduatestudy/postgraduatecourses/artificialintelligenceanddatascience
Artificial Intelligence and Data Science at Keele University - UCAS