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

Mathematics with Economics

University of Sussex
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 with economics is a degree that applies the rigorous quantitative methods of mathematics to the understanding of economic systems and decision-making. Mathematics provides the tools, including calculus, linear algebra, probability theory, optimisation, and statistics, that allow economic models to be developed with precision and tested against data. Economics provides the conceptual frameworks and real-world problems that give those tools purpose, from the behaviour of individual consumers and firms to the macroeconomic dynamics of entire economies.

The combination is widely regarded as one of the most analytically demanding and professionally valuable in the social sciences.

At the University of Sussex, this three-year full-time programme applies mathematics to solve real-world economic issues, helping you understand the relationship between mathematics and economics at a genuine level of rigour. The programme includes an integrated foundation year, making it accessible to students who wish to build their mathematical foundations before progressing to the full degree, as well as a sandwich year with a year abroad and work placement that give you professional experience and international exposure. Entry typically requires around 120 UCAS tariff points.

Mathematics with economics graduates are in high demand in banking, finance, economic consultancy, data science, the civil service, central banking, and a wide range of analytical and commercial roles. The precision of mathematical thinking combined with economic understanding is valued wherever quantitative analysis and evidence-based decision-making are required. Many graduates continue to postgraduate study in economics, finance, statistics, or related disciplines.

Could you get in?
The grades students arrived with
<48 pts1%
48-63 pts2%
64-79 pts8%
80-95 pts18%
96-111 pts17%
112-127 pts24%
128-143 pts14%
144-159 pts4%
160-175 pts3%
176-191 pts1%
192-207 pts1%
How they qualified
83% got in with A-levels. The rest came in a mix of ways:
A-levels83%
other higher education8%
the IB6%
another degree1%
Other1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
83%
In work or further study after
100%
Continue past first year
94%
Student satisfaction
What graduates earn over time
Β£30,000
After 15 months
Β£30,500
3 years on
Β£43,500
5 years on
What graduates actually go on to do % of leavers
Business and public service associate professionalsHighly skilled20%
Administrative occupations16%
Elementary occupations8%
Finance ProfessionalsHighly skilled20%
Sales occupations10%
Business, Research and Administrative ProfessionalsHighly skilled15%
Teaching and Childcare Support Occupation5%
Information Technology ProfessionalsHighly skilled5%
What students say National Student Survey
94%
of students are satisfied with the course overall
Teaching93%
Assessment & feedback88%
Academic support82%
Well organised95%
Learning resources97%
Student community96%
In students' own words
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Highly recommend
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, accommodation allocation was stressful in the first year. On th…
Class of 2024 Β· Part-time
β˜…β˜…β˜…β˜…β˜…
A great decision
This is the perfect place to study this subject. The best part: case-based teaching forces you to think commercially. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” local cost of living is manageable …
Third year 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 Sussex'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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