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
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

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
<48 pts5%
96-111 pts5%
112-127 pts20%
128-143 pts45%
144-159 pts5%
160-175 pts10%
176-191 pts5%
192-207 pts5%
How they qualified
95% got in with alevel. The rest came in a mix of ways:
alevel95%
baccalaureate5%
degree5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
80%
In professional / skilled jobs
90%
Continue past first year
88%
Student satisfaction
What graduates earn over time
£30,000
After 15 months
£32,000
3 years on
£39,500
5 years on
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching85%
Assessment & feedback84%
Academic support82%
Well organised94%
Learning resources81%
Student community97%
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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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