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

Mathematics

Imperial College of Science, Technology and Medicine Β· London
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

Pure mathematics is the study of mathematical structures for their own sake, guided by the internal logic and beauty of the discipline rather than immediate application. It is a subject that demands and develops the highest levels of abstract reasoning, precision of thought, and creative intellectual engagement, and it has historically proved to be both profoundly satisfying as a pursuit and surprisingly useful when the world eventually catches up with ideas that seemed purely theoretical.

At Imperial College, this three-year full-time programme is designed for students who wish to engage with mathematics at the deepest level. You will encounter concepts that build directly on A-level mathematics and others that introduce entirely new ways of thinking, entering the mathematical universe of analysis, algebra, topology, number theory, and geometry with the tools and rigour that professional mathematicians use. The programme at Imperial is taught by world-class researchers, and you will be exposed to mathematics at the research frontier as well as the established foundations of the subject.

Proof, precision, and abstract generalisation are central to everything you do.

The typical entry tariff is 216 UCAS points, reflecting the exceptional mathematical ability expected of applicants. The degree is studied full time.

Graduates from pure mathematics programmes are in strong demand across a remarkably wide range of careers. Finance, cryptography, data science, software engineering, academic research, the civil service, actuarial science, and consulting all value the analytical power and precision that mathematical training provides. Many also pursue postgraduate study in mathematics, often entering doctoral programmes at leading institutions in the UK and internationally.

Could you get in?
The grades students arrived with
<48 pts10%
128-143 pts10%
160-175 pts10%
208-223 pts25%
224-239 pts20%
240+ pts20%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
Other20%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
89%
In work or further study after
95%
Continue past first year
89%
Student satisfaction
What graduates earn over time
Β£52,000
After 15 months
Β£53,500
3 years on
Β£68,000
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled35%
Information Technology ProfessionalsHighly skilled30%
Finance ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled10%
Engineering professionalsHighly skilled5%
What students say National Student Survey
89%
of students are satisfied with the course overall
Teaching91%
Assessment & feedback82%
Academic support79%
Well organised88%
Learning resources88%
Student community94%
In students' own words
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Highly recommend
The course has exceeded my expectations. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” the city is a b…
Class of 2022 Β· Full-time
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Exceeded expectations
The course has exceeded my expectations. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the city is a bril…
Final year 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 Imperial College of Science, Technology and Medicine'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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