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

Mathematics

University of Keele
Qualification
Degree
Length
3 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

Mathematics with Statistics gives you a grounding in two disciplines that are deeply connected but distinct in emphasis. Mathematics develops your capacity for abstract reasoning, proof and modelling, building the logical foundations that underlie science, engineering, computing and economics. Statistics develops your ability to collect, analyse and interpret data in the presence of uncertainty, providing the tools needed to draw reliable conclusions from evidence and to communicate findings in ways that can guide decisions.

Together, they create a degree with exceptional breadth of application.

At Keele University this three-year full-time programme provides a solid foundation in both subjects, combining core work in mathematics and statistics with training in statistical software and the opportunity to explore advanced applications in areas such as medical statistics and financial mathematics. The degree is shaped by a concern for employability as well as academic excellence, incorporating practical problem-solving and analytical modules alongside the theoretical content. The programme includes a sandwich year, giving you the opportunity to spend time in an industry placement before your final year, as well as a year abroad option and work placement opportunities embedded in the curriculum.

Graduates from Mathematics with Statistics degrees are in strong demand across a wide range of sectors. Many go on to careers in data analysis, actuarial science, financial modelling, operational research, insurance, government statistical services and health analytics. Others find roles in education, environmental science, sports analytics, risk management and market research.

The combination of mathematical precision and statistical insight the degree develops makes graduates highly adaptable across both quantitative and analytical roles. For those wishing to continue their studies, the degree provides an excellent foundation for postgraduate work in mathematics, statistics, data science, financial mathematics or related quantitative fields.

Could you get in?
The grades students arrived with
<48 pts10%
48-63 pts5%
64-79 pts10%
80-95 pts15%
96-111 pts20%
112-127 pts15%
128-143 pts10%
144-159 pts15%
192-207 pts5%
224-239 pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
90%
Continue past first year
88%
Student satisfaction
What graduates earn over time
Β£26,000
3 years on
Β£32,500
5 years on
What graduates actually go on to do % of leavers
Administrative occupations20%
Teaching ProfessionalsHighly skilled30%
Information Technology ProfessionalsHighly skilled10%
Skilled trades occupations5%
Business, Research and Administrative ProfessionalsHighly skilled5%
Sales occupations5%
Welfare and housing associate professionalsHighly skilled5%
Finance ProfessionalsHighly skilled5%
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback92%
Academic support90%
Well organised93%
Learning resources81%
Student community89%
In students' own words
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Would do it again
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the course strikes a good balance between theory and practical application. If I'm honest, would like to see more industry guest speakers in later years. On th…
Class of 2022 Β· Full-time
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Solid, with caveats
Would I choose it again? Probably yes, with caveats. The best part: the course strikes a good balance between theory and practical application. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the city β€” l…
Class of 2024 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 University of Keele'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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