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Advanced Computer Science at Keele University - UCAS

Keele University

Degree level: Postgraduate

Advanced Computer Science (Taught)

Course options

2024 - 20252025 - 2026
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Open days

4Dec
Keele University - Postgraduate Open Event
Postgraduate

Course summary

Featuring an innovative blend of theory, practical skills development, real-world problem solving and industry experience, this MSc in Advanced Computer Science is designed for existing Computing graduates who are looking to extend their specialist knowledge and pursue more senior roles in IT, in industry, teaching or research. We are in the process of refreshing our curriculum for the 2025/26 academic year to reflect best practices and the latest advancements in academia. New course content and modules will be available on this course page in due course. Why study this course?

  • Internationally recognised expertise in computational neuroscience, evolutionary systems, machine learning and AI, software and systems engineering
  • Develop your professional and technical skills by solving a real-world problem on an industrial placement or MSc Project
  • Access to specialist equipment, including over 100 PCs with relevant hardware and software, gaming lab, high-performance computing infrastructure and Makerspace
  • Continuous investment in facilities: the new Digital Society Institute will host a state-of-the-art £330k high-performance computing cluster for data-driven research, and VR/Interaction Lab
  • Our high staff-to-student ratio is enhanced by small-group tutorials and a strong, inclusive research community
In today’s hi-tech world, as organisations seek to streamline processes and increase efficiency, there is a growing demand for highly-skilled professionals who can harness the power of accelerating digital transformation in everything from intelligent automation to cloud computing, cybersecurity and big data. This MSc in Advanced Computer Science is intended for graduates who studied Computing, Computer Science or a closely-related subject at undergraduate level and are looking to develop a higher level of understanding and advanced skills which reflect cutting-edge developments and technologies within the field. The course covers a wide range of practical skills and theory that students can chose from, including advanced programming, machine learning and AI, cyber security and cryptography and advanced data analysis and the use of cloud computing infrastructure. Taught by our experienced lecturers, with opportunities for hands-on experience using our state-of-the-art facilities and equipment, you can learn a wide range of in-demand skills and techniques, including manipulating large amounts of data, designing and building complex and secure applications, leveraging and provisioning cloud services and developing autonomous systems. As part of our focus on preparing you for industry, you will have the opportunity to study a module where you work collaboratively with students on all of our MSc programmes to develop an application for one of our industrial collaborators. You’ll have multiple opportunities to apply your learning to real-world problems with the choice of taking either an industrial placement* or tackling an industry-related problem as part of an MSc project. Examples of companies where students have previously undertaken an industry placement include Synectics Solutions, Collective Crunch and Greenhous. 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.

Entry requirements

2:2 degree in a computing, science, maths or engineering 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 course page on the Keele University website: https://www.keele.ac.uk/study/postgraduatestudy/postgraduatecourses/advancedcomputerscience/
Advanced Computer Science at Keele University - UCAS