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

Mathematics and Economics

University of Nottingham, the Β· Nottingham
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 and economics together form a degree of exceptional intellectual rigour and practical relevance. Economics asks how agents, markets, and economies behave and provides the theoretical frameworks and empirical methods to understand those behaviours. Mathematics provides the quantitative tools that allow those frameworks to be developed with precision: calculus, linear algebra, probability theory, optimisation, and statistical inference are all essential to modern economics, and a degree that combines the two disciplines develops exactly the skills that both academic research and professional practice require.

At the University of Nottingham, this three-year full-time programme develops your mathematical and economic reasoning in tandem, covering the theoretical foundations of both disciplines alongside their applications. You will study core economics including microeconomic theory, macroeconomics, and econometrics alongside the mathematical tools that underpin them, developing a level of technical sophistication that is distinctive in the graduate labour market. Entry typically requires around 168 UCAS tariff points.

Mathematics and economics graduates are among the most sought-after in the UK job market. They work in banking, investment management, financial analysis, economic consultancy, the civil service, central banking, data science, technology, and academic research. The precision of mathematical thinking combined with the ability to reason about economic systems and policy is valued in virtually every field where data, markets, or financial decisions play a role.

Many graduates continue to postgraduate study in economics, finance, statistics, or related disciplines, often with a view to academic or research careers.

Could you get in?
The grades students arrived with
144-159 pts20%
160-175 pts30%
176-191 pts20%
192-207 pts15%
208-223 pts5%
224-239 pts5%
240+ pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
95%
Continue past first year
71%
Student satisfaction
What graduates earn over time
Β£34,500
After 15 months
Β£38,500
3 years on
Β£55,500
5 years on
What graduates actually go on to do % of leavers
Elementary occupations20%
Finance ProfessionalsHighly skilled20%
Business, Research and Administrative ProfessionalsHighly skilled20%
Sales occupations10%
Managers, directors and senior officialsHighly skilled10%
Business and public service associate professionalsHighly skilled10%
What students say National Student Survey
71%
of students are satisfied with the course overall
Teaching75%
Assessment & feedback63%
Academic support60%
Well organised72%
Learning resources80%
Student community73%
In students' own words
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Highly recommend
I've grown so much academically and personally here. The best part: the course strikes a good balance between theory and practical application. If I'm honest, first-year classes can be quite large. On the city β€” local cost of living is mana…
Class of 2024 Β· Full-time
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Genuinely worthwhile
I've grown so much academically and personally here. The best part: the course strikes a good balance between theory and practical application. If I'm honest, first-year classes can be quite large. On the city β€” good transport links make it…
Class of 2024 Β· Part-time
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Nottingham, the'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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