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

Mathematics with a year in Industry

The University of Kent
Qualification
Degree
Length
4 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 is a discipline built on proof, pattern, and rigorous reasoning, with applications that span every domain of science, technology, and quantitative analysis. The ideas and methods you develop in a mathematics degree are genuinely in demand across a remarkable range of careers, from finance and computing to engineering, data science, and academic research. What unites all these applications is the quality of mathematical thinking: the ability to identify structure, reason precisely, and communicate complex ideas with clarity.

At the University of Kent, this four-year full-time programme includes a year in industry, which places you in a professional environment for a full year and gives you the kind of applied experience that employers value and that academic study alone cannot provide. You will study pure mathematics including algebra, analysis, and topology, applied mathematics covering mechanics and differential equations, and statistics and probability, developing a broad command of the discipline alongside the skills to apply it in contexts that matter. The year in industry typically takes place in the financial sector, technology, or engineering, exposing you to the real-world problems that mathematics is used to address.

Mathematics graduates with industry experience are among the most employable graduates in the UK economy. Common careers include roles in financial services and actuarial work, data science, software development, engineering consultancy, operational research, the civil service, and teaching. The year in industry often leads directly to employment offers or to professional networks that support the transition into work.

Postgraduate study in mathematics, statistics, financial mathematics, and data science is also a natural progression for those who wish to deepen their expertise.

Could you get in?
The grades students arrived with
112-127 pts10%
128-143 pts20%
160-175 pts20%
176-191 pts10%
192-207 pts30%
208-223 pts10%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
89%
Continue past first year
88%
Student satisfaction
What graduates earn over time
Β£32,000
After 15 months
Β£32,000
3 years on
Β£40,000
5 years on
What graduates actually go on to do % of leavers
Business and public service associate professionalsHighly skilled20%
Administrative occupations5%
Business, Research and Administrative ProfessionalsHighly skilled20%
Elementary occupations5%
Customer service occupations5%
Information Technology ProfessionalsHighly skilled15%
Managers, directors and senior officialsHighly skilled10%
Finance ProfessionalsHighly skilled10%
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback87%
Academic support79%
Well organised90%
Learning resources93%
Student community94%
In students' own words
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A great decision
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, accommodation allocation was stressful in the first year. On the cit…
Class of 2023 Β· Full-time
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Exceeded expectations
Coming here has changed how I think. The best part: small-group tutorials really push your thinking. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” local cost of living is manageable if you share a ho…
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 The University of Kent'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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