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Computer Science

BSc · University of London

Computer Science

55

University of London

AI IMPACT
MEDIAN PAY, 15 MOnot published
SATISFACTION61%
CONTINUATION60%
PROFESSIONAL JOBS85%
DESTINATION-WEIGHTEDAI is already used for about 55% of the work its graduates go into (High).
CONTINUATION ALERT

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 disc

Where its graduates go

The 4 largest scored destinations, covering 105% of graduates; the headline also reflects the subject baseline.

  • 72 / 100Information Technology Professionals · 50% of graduatescards →
  • 55 / 100Administrative occupations · 15% of graduatescards →
  • 40 / 100Science, engineering and technology associate professionals · 20% of graduatescards →
  • 30 / 100Managers, directors and senior officials · 20% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).