BSc Computer Science

About this course

Computer science is the discipline that underpins the digital world. It encompasses the theory of computation, the design and analysis of algorithms, the engineering of software systems, and the application of computing to problems across every domain of human activity. As artificial intelligence, data-driven decision-making and connected systems become central to business, government and everyday life, the demand for computer scientists who can think rigorously, write reliable code and contribute to complex technical projects has never been higher. At Sheffield Hallam University, this part-time programme includes a foundation year, a sandwich year in professional placement and a work placement, making it an accessible and practically grounded route into the subject. Based in the Home of Digital Technologies, you will learn from industry-experienced academics in purpose-built laboratory environments designed to reflect professional working conditions. You will develop a deep understanding of core computing concepts, including algorithms, data structures, software engineering, databases and networking, alongside an engagement with artificial intelligence that reflects the direction in which the field is moving. The programme deliberately bridges the gap between academic learning and industry practice, supporting you to progress from simulated client projects to real-world briefs as your confidence and competence grow. Computer science graduates enter a wide and growing job market. Roles include software developer, systems architect, data scientist, machine learning engineer, cybersecurity analyst, DevOps engineer and product manager. Graduates work across every sector, from fintech, healthcare and retail to public services, defence and the creative industries. Many go on to postgraduate study in specialist areas such as artificial intelligence, human-computer interaction, cybersecurity or data science. The skills developed through computer science, including logical reasoning, problem decomposition and systematic design, are highly transferable and remain among the most valued in the graduate labour market.

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