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

Economics and Mathematics

The University of Leeds Β· Leeds
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

Economics and mathematics is a degree that combines two disciplines which have an exceptionally productive relationship. Economic theory increasingly relies on sophisticated mathematical modelling to describe how markets work, how agents make decisions, and how economies evolve over time. Mathematics provides the tools, from calculus and linear algebra to probability theory and optimisation, that make those models tractable and testable.

Studying both together equips you with a level of analytical rigour that opens some of the most competitive career paths available to any UK graduate.

At Leeds, this three-year full-time programme includes a sandwich year, a year abroad and a work placement, giving you a combination of professional experience and international academic exposure that is unusual in mathematical economics. The sandwich year allows you to apply your quantitative skills in a real professional context, whether in financial services, economic consultancy, government analysis or technology, and you return to your final year with experience that sharpens your focus and strengthens your graduate profile. The year abroad offers the opportunity to study economic and mathematical theory in a different national academic tradition.

Across the programme you will develop mathematical fluency in the areas most relevant to economics, including probability and statistics, real analysis and optimisation, alongside a deep grounding in microeconomic and macroeconomic theory, econometrics and applied economic analysis.

Graduates of economics and mathematics programmes are sought by employers in investment banking, asset management, economic consulting, fintech, data science, actuarial work and government economic analysis. The combination of mathematical depth and economic understanding is genuinely rare and consistently valued. Postgraduate study in economics, finance, mathematics or data science is a well-supported option.

Could you get in?
The grades students arrived with
128-143 pts5%
144-159 pts25%
160-175 pts15%
176-191 pts20%
192-207 pts10%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
100%
In work or further study after
90%
Continue past first year
86%
Student satisfaction
What graduates earn over time
Β£33,000
After 15 months
Β£36,000
3 years on
Β£52,000
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled40%
Business, Research and Administrative ProfessionalsHighly skilled30%
Information Technology ProfessionalsHighly skilled20%
Protective service occupationsHighly skilled10%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching78%
Assessment & feedback73%
Academic support69%
Well organised86%
Learning resources87%
Student community87%
In students' own words
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A great decision
Coming here has changed how I think. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” the city is a brilliant student city …
Final year Β· Full-time
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Would do it again
This is the perfect place to study this subject. The best part: the course strikes a good balance between theory and practical application. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” the city is …
Class of 2022 Β· Full-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 The University of Leeds'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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