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

Mathematics and Statistical Science

University College London · London
Qualification
Degree
Length
4 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

If you are interested in applying for 2026 entry, or your course below is listed as 'coming soon', you can view details for 2026 entry. Push your thinking, grow your networks and sharpen your skills through hands-on learning opportunities between 18 May - 12 June. Open to UCL undergraduate and Master's students.

Download your guide to our undergraduate degrees and student life at UCL. Our prospectus contains useful information on our faculties, courses, and support and wellbeing services. UCL Open Days give you an opportunity to meet our current students and staff.

Discover more about our courses and how UCL can become your ideal place to study.

Could you get in?
The grades students arrived with
<48 pts3%
48-63 pts10%
64-79 pts1%
80-95 pts3%
96-111 pts2%
112-127 pts2%
128-143 pts4%
144-159 pts10%
160-175 pts12%
176-191 pts6%
192-207 pts12%
208-223 pts12%
224-239 pts7%
240+ pts9%
How they qualified
80% got in with alevel. The rest came in a mix of ways:
alevel80%
degree10%
other10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
100%
Continue past first year
91%
Student satisfaction
What graduates earn over time
£41,500
3 years on
£57,000
5 years on
What students say National Student Survey
91%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback80%
Academic support73%
Well organised84%
Learning resources91%
Student community91%
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 University College 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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