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

Mathematics with Foundation Year

University of Keele
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

Mathematics is a discipline of exceptional breadth and depth, concerned with structure, pattern, logic, and the quantitative relationships that underlie the natural world, the economy, and an increasingly wide range of human activities. At its most abstract it asks what can be proved and how, building understanding from precise definitions and rigorous argument. At its most applied it provides the tools to model complex systems, analyse data, solve optimisation problems, and reason carefully under uncertainty.

The range of questions that mathematics can illuminate is one of the things that makes it one of the most valuable subjects to have studied at degree level.

At Keele University, this four-year full-time Mathematics degree with a foundation year offers an IMA-accredited programme that explores essential mathematical principles, concepts, and applications. The foundation year provides a supported entry for students who need additional preparation before engaging with a demanding mathematical degree, ensuring that everyone arrives at the main programme with the grounding needed to thrive. You will explore areas such as analysis, algebra, differential equations, probability, statistics, and numerical methods, with opportunities to focus on the areas that interest you most.

Professional and employability modules and the chance to spend time in industry are built into the programme.

Mathematics graduates are among the most sought after by employers across many sectors. Actuarial science, finance, data science, software development, scientific research, engineering, statistics, teaching, and the civil service are all well-established destinations. The combination of logical reasoning, quantitative skill, and problem-solving ability developed through a mathematics degree is applicable across virtually any field that involves analytical thinking.

Postgraduate study in mathematics, statistics, financial mathematics, data science, or a related discipline is a natural next step for those who wish to develop specialist expertise or pursue academic research.

Could you get in?
The grades students arrived with
<48 pts15%
48-63 pts25%
64-79 pts45%
80-95 pts15%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
another degree5%
other higher education5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
80%
Continue past first year
88%
Student satisfaction
What graduates earn over time
£28,000
After 15 months
£26,000
3 years on
£32,500
5 years on
What graduates actually go on to do % of leavers
Teaching ProfessionalsHighly skilled30%
Administrative occupations20%
Skilled trades occupations5%
Information Technology ProfessionalsHighly skilled10%
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%
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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 University of Keele'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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