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

Mathematics with Computing

Queen Mary University of London · London
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
Full-time
Robin · 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

Study BSc Mathematics with Computing at Queen Mary University of London. Develop analytical and computational expertise for careers in data science, tech or finance. Apply now.

Combine your passion for mathematics with the power of computing to shape our future. Mathematics provides the theoretical framework and essential tools for approaching complex problems, while computing offers the practical expertise to put these solutions into action. Together these two disciplines drive innovation and transform the world around us.

Even though technology continues to change, the mathematics behind innovations will stay the same. Studying with us, you’ll gain an understanding of the logic that underpins computing and programming, helping you understand systems and technologies as they evolve. Our blend of theoretical and practical training will help you develop the ultimate skillset for careers in finance, tech and data science, among others.

Could you get in?
The grades students arrived with
48-63 pts2%
128-143 pts22%
144-159 pts28%
160-175 pts27%
176-191 pts7%
192-207 pts6%
208-223 pts1%
224-239 pts3%
240+ pts3%
How they qualified
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
What graduates earn over time
£32,000
3 years on
£39,500
5 years on
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 · 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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