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

Mathematics and Statistics

Queen Mary University of London · London
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
Full-time
Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.
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

Discover the BSc Mathematics and Statistics degree, blending core maths with advanced statistical training. Develop in‑demand skills for data‑driven careers. Apply today.

Make a difference in the ever-developing digital world where you’ll tackle industry’s challenging mathematical problems. In our digital age, we create an ever-increasing volume of data every day. With enormous data sets emerging across all industries, the ability to analyse, interpret, and communicate data through statistical analysis is an increasingly important skill.

Our expert teaching team deliver all-round mathematical training with an in-depth study of statistics. You’ll start by building a foundation across pure, discrete, decision and modern applied mathematics. Then specialise in a range of topics from computational statistics to actuarial mathematics.

Interested in applying probabilistic modelling to genetics? Curious how banks use statistics to predict the impact of economic crises? Focus your study to match your ambitions with our optional modules.

Could you get in?
The grades students arrived with
112-127 pts25%
128-143 pts15%
144-159 pts10%
160-175 pts50%
How they qualified
100% got in with alevel.
alevel100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
Continue past first year
84%
Student satisfaction
What graduates earn over time
£32,000
3 years on
£39,500
5 years on
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback80%
Academic support76%
Well organised86%
Learning resources85%
Student community89%
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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