⚠️

High Drop-out Rate Alert

40% of students drop out or transfer from this specific course. Consider asking why on an open day.

HomeUniversity of LondonBSc Computer Science

BSc Computer Science

University of London
Part-timeSubject: Computer Science
Course Score
C /63
Graduate Salary
N/A
Satisfaction
61%
Degree Completion
60%
Professional Jobs
85%
Meaningful Work
45%

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 curriculum
Year 1 Modules
4 items
Programming Fundamentals
Core
View Module Details →
Discrete Mathematics
Core
View Module Details →
Computer Systems
Core
View Module Details →
Calculus & Linear Algebra
Core
View Module Details →
Year 2 Modules
5 items
Year 3 Modules
5 items
Year 4 Modules
3 items

Student Satisfaction

National Student Survey - 45 respondents (54% response rate)

67%
Teaching Quality
64%
Assessment & Feedback
34%
Academic Support
40%
Organisation
73%
Learning Resources
36%
Student Voice

Tuition FeesVerified

Published annual tuition cost at University of London.

£9,535
Per academic year (UK Home)
💰

Government Student Loan

Eligible UK students do not pay upfront. Covered by SFE tuition fee loans.

Will I Get In?

120 UCAS Pts
Admissions Probability
Calculate your odds
Predicted Grades

Also Consider

We found 15 similar courses offering Computer Science where students typically entered with fewer UCAS points.

Course Match AI

When you create a free account, our Engine analyzes if this course perfectly fits your academic profile and builds Plan B Insurance alternatives natively powered by graduate trajectory data.

Unlock Dashboard

Entry Qualifications

A-level
68%
Degree
16%
Other
7%
Other HE
5%
No qualifications
3%

What comes next? 🎓

Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.

Explore Schools on WhatSchool.ai →