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

Mathematics

Nottingham Trent University · Nottingham
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 30% 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 one of the most powerful and versatile disciplines in higher education, combining the rigour of logical proof with the creativity of problem-solving and the practical utility of quantitative methods across almost every field of human activity. Whether pure or applied, mathematics develops habits of mind, including precision, abstraction, and systematic reasoning, that are valued by employers well beyond the mathematical professions. This four-year full-time programme at Nottingham Trent University includes a foundation year, designed for students who want to study mathematics at degree level but who need additional preparation to bridge the gap between school and university study.

The foundation year builds mathematical skills and confidence progressively, introducing key concepts in calculus, algebra, and statistics before the main degree begins. In the degree itself, you will study analysis, linear algebra, discrete mathematics, probability, statistics, numerical methods, and mathematical modelling, developing both the theoretical depth and the applied problem-solving ability that define a strong mathematical education. NTU's campus environment and the department's applied orientation mean that the mathematics you study is connected to real problems in engineering, finance, data science, and the physical and social sciences.

Mathematics graduates are among the most employable in the UK. Careers include data science, actuarial work, finance and investment, software engineering, statistics, operational research, and teaching. The analytical and quantitative skills the degree develops are valued across a very wide range of sectors, and many graduates move between fields over their careers.

Professional qualifications in actuarial science, statistics, or finance are natural complements to the degree for those who want formal recognition in these areas. Postgraduate study in mathematics, statistics, financial mathematics, or data science is an option for those who want to specialise or pursue research.

Could you get in?
The grades students arrived with
48-63 pts20%
64-79 pts5%
80-95 pts30%
96-111 pts15%
112-127 pts20%
144-159 pts5%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
no formal qualifications10%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
70%
Continue past first year
88%
Student satisfaction
What graduates earn over time
£25,500
After 15 months
£26,500
3 years on
£35,500
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled20%
Administrative occupations15%
Business and public service associate professionalsHighly skilled15%
Elementary occupations10%
Sales occupations5%
Information Technology ProfessionalsHighly skilled10%
Business, Research and Administrative ProfessionalsHighly skilled5%
Skilled trades occupations5%
What students say National Student Survey
88%
of students are satisfied with the course overall
Teaching89%
Assessment & feedback87%
Academic support84%
Well organised92%
Learning resources91%
Student community84%
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 Nottingham Trent University'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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