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

Mathematics with Foundation Year

University of Plymouth
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 25% of students don't make it past first year here - ask the uni what support they offer.
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 is one of the most powerful and versatile intellectual disciplines available at university level. It trains you to think with rigour and precision, to construct proofs and arguments that follow necessarily from their premises, and to recognise the mathematical structures that underlie apparently disparate phenomena across science, economics, engineering, and everyday life. Pure mathematics develops this capacity for its own sake, pursuing truth through logic alone; applied mathematics directs it at models of the real world; statistics provides the tools for reasoning about uncertainty and extracting knowledge from data.

A mathematics degree gives you all three.

At Plymouth this four-year full-time programme includes a foundation year, which gives you a preparatory stage to build the mathematical foundations you need before entering the main degree. Whether you are coming with a non-standard background or simply want to consolidate your knowledge before tackling degree-level mathematics, the foundation year provides the grounding that allows you to engage fully with what follows. The programme takes advantage of the role of computing in modern mathematics, giving you skills in programming and high-performance computation that are directly applicable to how mathematics is actually done today, both in academic research and in industry.

You will study analysis, algebra, calculus, differential equations, and statistics alongside the computational tools that extend what mathematics can achieve in practical contexts. Real-world applications are woven throughout, demonstrating how the abstract structures of mathematics connect to the problems scientists, engineers, and data analysts work on every day.

Graduates pursue careers in finance, data science, actuarial work, engineering, research, teaching, software development, cryptography, and the civil service. Mathematics is consistently among the degrees most highly regarded by employers across the most competitive graduate schemes. Many graduates also go on to postgraduate study in mathematics, statistics, or related quantitative disciplines.

Could you get in?
The grades students arrived with
<48 pts40%
48-63 pts35%
64-79 pts15%
128-143 pts10%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
an Access course10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
75%
Continue past first year
90%
Student satisfaction
What graduates earn over time
Β£25,000
3 years on
Β£33,000
5 years on
What graduates actually go on to do % of leavers
Teaching ProfessionalsHighly skilled25%
Sales occupations15%
Elementary occupations10%
Business and public service associate professionalsHighly skilled10%
Administrative occupations10%
Finance ProfessionalsHighly skilled10%
Managers, directors and senior officialsHighly skilled10%
Information Technology ProfessionalsHighly skilled5%
What students say National Student Survey
90%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback82%
Academic support83%
Well organised99%
Learning resources98%
Student community94%
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 Plymouth'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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