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40% of students drop out or transfer from this specific course. Consider asking why on an open day.
BSc Computer Science
About this course
Computer science is the study of computation itself, from the mathematical foundations that underpin all computing to the algorithms, data structures, systems, and interfaces through which computers solve problems in the real world. It is a discipline that rewards abstract thinking and precision, but its applications touch every industry and almost every aspect of modern life, which makes it one of the most flexible and consistently in-demand fields of study available. This part-time, distance learning programme at the University of London is designed for people who want to develop rigorous computer science knowledge while managing work or other commitments. Studying at a distance means you set your own schedule, engaging with course materials online and contributing to learning communities without needing to be in a fixed location. You will build expertise in the core areas of the discipline, including programming, algorithms and data structures, computer systems and architecture, databases, software engineering, and the theoretical underpinnings of computation. The programme emphasises depth of understanding rather than surface familiarity, equipping you to think clearly about problems that do not yet have standard solutions. Because it is part-time and distance-based, this route is particularly well suited to those who are already working in a technology-adjacent role and want to formalise their knowledge, or to those returning to education who need flexibility. The University of London's international reach and the programme's flexible delivery mean it attracts a diverse cohort, which itself can be a valuable part of the learning experience. Computer science graduates are among the most employable of any discipline. Careers span software development and engineering, data science and machine learning, cybersecurity, systems architecture, product management, and academic research. The analytical skills developed through the programme are also valued in finance, consultancy, and policy roles where technology increasingly shapes decision-making. Postgraduate study in computer science, artificial intelligence, or related fields is a common and well-supported pathway.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 45 respondents (54% response rate)
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