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

Mathematics

Swansea University
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 at Swansea is a degree for students who love the beauty, precision, complexity, and simplicity of the subject, and who want to be challenged by it at the highest level. Mathematics is simultaneously one of the oldest intellectual disciplines and one of the most actively developing: new results in pure mathematics emerge regularly, and the applications of mathematical thinking to data science, finance, engineering, and computing continue to expand in directions that were unimaginable a generation ago. A mathematics degree develops a distinctive capacity for abstract reasoning and logical rigour that sets graduates apart in almost every field they enter.

At Swansea University you will study across three years on a full-time programme. The curriculum covers the core areas of pure and applied mathematics, including analysis, algebra, geometry, differential equations, numerical methods, and statistics, developing your ability to follow complex arguments, construct proofs, and apply mathematical techniques to problems both within and beyond the discipline. Swansea's mathematics department is research-active, and the teaching reflects the living character of the subject, bringing students into contact with areas of genuine current mathematical interest.

You will develop strong skills in mathematical writing and communication alongside the technical abilities that the degree requires, since the capacity to explain mathematics clearly is as important as the ability to do it.

Mathematics graduates are sought after across an extraordinarily wide range of sectors. Finance, actuarial work, data science, software engineering, and quantitative research are among the largest employers of mathematics graduates. The pharmaceutical industry, engineering companies, and government scientific agencies also recruit mathematicians for statistical and modelling roles.

Teaching at secondary level is a particularly important direction, with strong demand for qualified mathematics teachers. Academic research in mathematics or in fields that depend on mathematical rigour, including computer science, statistics, and theoretical physics, is a well-supported pathway through postgraduate study. The degree's combination of rigour and versatility makes it one of the most valuable qualifications a student can acquire.

Could you get in?
The grades students arrived with
64-79 pts25%
80-95 pts25%
96-111 pts25%
112-127 pts10%
128-143 pts5%
160-175 pts5%
176-191 pts5%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
an Access course5%
another degree5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
Continue past first year
89%
Student satisfaction
What graduates earn over time
Β£25,000
3 years on
Β£32,000
5 years on
What students say National Student Survey
89%
of students are satisfied with the course overall
Teaching81%
Assessment & feedback83%
Academic support77%
Well organised92%
Learning resources83%
Student community96%
In students' own words
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A great decision
The programme genuinely lives up to its reputation. The best part: small-group tutorials really push your thinking. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” local cost of living is manageable …
Class of 2023 Β· Full-time
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Exceeded expectations
This is the perfect place to study this subject. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, first-year classes can be quite large. On the city β€” good transport links make it easy to visit othe…
Class of 2023 Β· Full-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 Swansea University'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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