University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Computer Science

Queen Mary University of London Β· London
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Computer science is the discipline that underpins the digital world, addressing the theoretical foundations of computation alongside the practical skills to design, build and evaluate complex systems. It asks questions about what problems computers can in principle solve, how they can be solved efficiently, and how software and hardware systems should be designed to be reliable, secure and useful. The discipline spans an enormous range, from algorithms and data structures through programming languages and operating systems to artificial intelligence, quantum computing and software engineering.

At Queen Mary University of London, this four-year programme gives you a rigorous grounding in the theory and practice of computer science. You will study the mathematical and logical foundations of computation alongside core programming and systems skills, and progress to advanced topics that reflect the frontier questions of the discipline, whether in quantum computing, cybersecurity, autonomous systems, machine learning or the application of technology to healthcare and transport. The programme develops both technical depth and the critical thinking needed to decide how technology should impact and shape the world.

Queen Mary's location in London places you in one of the world's great technology cities, with access to a wide range of research and professional environments.

Computer science graduates are among the most sought-after in the jobs market. Careers span software engineering, data science, artificial intelligence, cybersecurity, systems architecture, product management, research and technology entrepreneurship. The analytical and problem-solving skills developed through the degree are also valued in finance, consulting and a range of other sectors where computational thinking is increasingly central.

Postgraduate study in computer science, data science, artificial intelligence or a specialist technical field is a well-supported route for those who want to develop deeper expertise or pursue a research career.

Could you get in?
The grades students arrived with
80-95 pts5%
128-143 pts20%
144-159 pts45%
160-175 pts25%
176-191 pts5%
192-207 pts5%
240+ pts5%
How they qualified
85% got in with A-levels. The rest came in a mix of ways:
A-levels85%
a foundation year5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
96%
Continue past first year
84%
Student satisfaction
What graduates earn over time
Β£33,500
After 15 months
Β£40,500
3 years on
Β£52,000
5 years on
What graduates actually go on to do % of leavers
Sales occupations5%
Information Technology ProfessionalsHighly skilled85%
Business, Research and Administrative ProfessionalsHighly skilled5%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching83%
Assessment & feedback85%
Academic support80%
Well organised81%
Learning resources84%
Student community86%
In students' own words
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Would do it again
This is the perfect place to study this subject. The best part: you finish with a portfolio that recruiters take seriously. If I'm honest, first-year classes can be quite large. On the city β€” the city is a brilliant student city with plenty…
Class of 2022 Β· Full-time
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Would do it again
I've grown so much academically and personally here. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, would like to see more industry guest speakers in later years. On the city —…
Class of 2022 Β· Part-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Queen Mary University of London's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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