Swansea University

What you'll study

This programme delivers a broad computer science education with an emphasis on artificial intelligence. In early years you study foundational topics such as programming, algorithms and data structures, discrete mathematics, computer architecture, databases and operating systems. Specialist AI and data-focused modules build on that base and typically include machine learning, neural networks and deep learning, natural language processing, computer vision, data mining, and probabilistic modelling.

Teaching combines lectures, small-group tutorials, laboratory classes and project work. Practical coursework emphasises software engineering practices, Python and other common AI tooling, and application of models to real datasets. In final-year modules you undertake substantial independent projects, which often apply AI methods to domains such as medical data, robotics, language technologies or software analytics.

The degree is normally delivered as a three-year full-time programme, with opportunities for industrial placement or an optional placement year in many intakes; there are also pathways for a year abroad and for conversion to longer integrated programmes where available. Assessment uses a mix of coursework, project reports, practical exams and written examinations.

Entry requirements

Typical entry expects a strong background in Mathematics alongside computing or a related science. Applicants commonly offer A-levels, Scottish Highers, BTEC or international equivalents. Typical A-level offers for computer science programmes are in the A–B range, with Mathematics usually required or strongly preferred. For vocational qualifications, relevant computing units plus strong performance in mathematics are usually considered.

Swansea University also considers applicants with relevant work experience, mature students and international qualifications; applicants whose first language is not English must meet the university's English language requirements. Specific offers vary by year and applicant profile, so check Swansea University's admissions pages for exact tariff requirements and accepted qualifications.

Career prospects

Graduates from this programme move into a wide range of roles across industry, public sector and research. Common destinations include software developer, AI/ML engineer, data scientist, systems analyst, and roles in robotics, computer vision, natural language processing and autonomous systems. Employers span technology companies, finance, healthcare, manufacturing, and public services.

Many graduates also progress to further study — MSc or MPhil/PhD programmes in AI, data science, cybersecurity or related disciplines — or take up professional training schemes and start-ups. The programme emphasises employability skills such as team working, project management and professional practice to support entry into graduate roles.

Why study at Swansea University

Swansea University offers an active computer science community with research strengths in machine learning, data science, software engineering and related areas. Students benefit from practical computing and laboratory facilities, supervised project opportunities, and links with regional and national industry partners which can support placements and project collaborations.

The university provides student support services including career counselling, coding clubs, and innovation support for students interested in entrepreneurship. Small-group teaching and academic supervision for final projects help you develop technical depth and research or industry-relevant experience during the degree.