Keele University

What you'll study

The programme provides a broad foundation in core areas of computer science before progressing to advanced and research-led topics. Early years cover programming principles, algorithms and data structures, computer systems, databases, mathematics for computing and software engineering practices. As you progress you study modules in operating systems, networks, object-oriented design, human–computer interaction and web and mobile development.

The integrated masters element introduces advanced topics and a substantial independent research or project component at masters level. Typical advanced modules include artificial intelligence and machine learning, data analytics and visualisation, cybersecurity and information assurance, distributed and cloud computing, and advanced software architecture. You will also complete a major individual project or dissertation that demonstrates mastery of research methods or professional development in a chosen specialist area.

• Core computing fundamentals: programming, algorithms, databases, systems
• Mathematics and formal methods relevant to computing
• Advanced options: AI & machine learning, data science, cybersecurity, cloud and distributed systems
• Professional skills: project management, software engineering practices, teamwork and communication
• Masters-level research/dissertation or an industry-facing project
• Opportunities for industrial placements, internships or short professional experiences where available

Entry requirements

Entry typically expects a strong school-leaving qualification with relevant subjects; Mathematics at A-level (or an equivalent) is highly recommended. Keele accepts a wide range of international qualifications and recognised vocational qualifications. Applicants with previous higher education qualifications (for example a related HND or foundation degree) or relevant work experience may also be considered for entry to appropriate years of the programme.

Applicants should demonstrate practical programming experience or evidence of analytical ability. Mature applicants and those from non-traditional backgrounds are welcome and are assessed on the suitability of their prior learning and experience. English language proficiency is required for international students in line with university policy.

Career prospects

Graduates gain a mix of practical and theoretical skills that employers value across many sectors. Typical roles undertaken by alumni include software developer, systems analyst, data scientist/analyst, machine learning engineer, cybersecurity analyst, DevOps/cloud engineer, and IT consultant. The integrated masters component also prepares students for research careers and further study, such as PhD programmes, and for technical leadership or specialist roles that require deeper understanding of advanced computing topics.

Keele places emphasis on employability skills—project work, group development tasks and optional industrial placements help students build a portfolio of practical experience. Graduates find work in technology companies, finance, healthcare, public sector organisations, and as independent consultants or start-up founders.

Why study at Keele University

Keele offers a campus-based university experience with close-knit teaching groups and accessible academic staff, which benefits students seeking supportive study environments. The School of Computing and Mathematics provides laboratory facilities, modern computing resources and teaching that links theory with practical software development and research-led topics.

The university encourages interdisciplinary study and provides opportunities to work across other subjects, which can be advantageous in areas such as health informatics, environmental modelling and digital humanities. Keele’s careers and employability services support CV building, internships and employer engagement to help translate technical skills into career outcomes.

Students benefit from research-active staff and from options to pursue industry-relevant projects or academic research, giving a balanced pathway whether you aim for immediate employment in industry or continued academic study.