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

Economics and Mathematics

The University of Sheffield Β· Sheffield
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 25% of students don't make it past first year here - ask the uni what support they offer.
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 are two disciplines with a deep and natural affinity. Economics uses mathematical models to understand how markets work, how agents make decisions under uncertainty, how policy interventions affect economic outcomes, and how macroeconomic variables like growth, employment, and inflation are related. Mathematics provides the rigorous language in which these models are expressed and the analytical tools with which they are investigated, from calculus and optimisation to probability theory, linear algebra, and statistics.

Studying them together means you can engage with economics at the quantitative level that serious research and professional practice require.

At the University of Sheffield, this three-year full-time programme combines the two disciplines in a rigorous and applied way, developing strong mathematical and economic skills alongside each other. You will study microeconomics and macroeconomics, developing the theoretical foundations of economic analysis, alongside the mathematical tools of calculus, analysis, statistics, and econometrics that are used to formalise and test economic models. The programme includes a sandwich year with a paid work placement with a leading employer, and a year abroad option, as well as work placement support through the Sheffield Economics Employability Development scheme.

These professional development opportunities complement the academic curriculum significantly.

Graduates with strong mathematical economics skills are in high demand across financial services, economic consultancy, the civil service, data science, and academic research. The combination of quantitative economic understanding and mathematical rigour is particularly valued in roles involving financial modelling, econometric analysis, or research. Many graduates also pursue postgraduate study in economics, financial mathematics, or data science, where the dual background is a genuine advantage in competitive admissions processes and in the subsequent research or professional work.

Could you get in?
The grades students arrived with
128-143 pts40%
144-159 pts30%
160-175 pts10%
176-191 pts15%
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
89%
In work or further study after
75%
Continue past first year
86%
Student satisfaction
What graduates earn over time
Β£30,000
After 15 months
Β£32,500
3 years on
Β£45,000
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled39%
Administrative occupations15%
Sales occupations5%
Business, Research and Administrative ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled14%
Teaching ProfessionalsHighly skilled15%
Process, plant and machine operatives5%
Elementary occupations5%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching78%
Assessment & feedback85%
Academic support86%
Well organised87%
Learning resources93%
Student community85%
In students' own words
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A great decision
I've grown so much academically and personally here. The best part: the consulting projects with real companies genuinely prepare you for the working world. If I'm honest, admin can be slow to respond, especially at start of term. On the ci…
Class of 2024 Β· Full-time
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A great decision
Honestly, one of the best decisions I've made. The best part: case-based teaching forces you to think commercially. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” good transport links make it easy …
Class of 2024 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 Sheffield'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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