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

Economics Statistics and Mathematics

Queen Mary University of London Β· London
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, statistics, and mathematics is a degree that equips you with some of the most powerful quantitative tools available for understanding the world. Economics provides the conceptual frameworks for analysing how individuals, firms, and governments make decisions under conditions of scarcity and incentive, and how those decisions aggregate into market outcomes, growth, inequality, and policy challenges. Statistics gives you the methods to collect, analyse, and draw reliable conclusions from data.

Mathematics provides the rigorous foundation on which both disciplines rest, developing the logical and analytical thinking that underpins serious quantitative work.

At Queen Mary University of London this three-year programme combines all three disciplines, preparing you for roles where quantitative techniques are applied to real-world challenges. You will develop skills in econometrics, probability, statistical inference, mathematical modelling, and data analysis, learning to use these tools to address questions drawn from economic, social, and policy contexts. The emphasis on applying quantitative techniques to genuine problems means you graduate with practical competence as well as theoretical depth, and the rigour of the mathematical training ensures you understand what your analyses are actually doing.

Graduates from programmes combining economics, statistics, and mathematics are in high demand across finance, consulting, data science, public policy, economic research, and technology. The combination is particularly valued in roles that require quantitative modelling and careful interpretation of data, including economic analysis, financial risk management, statistical consultancy, and academic research. Many graduates pursue professional qualifications in finance, accounting, or data science alongside or after their degree, while others go on to postgraduate study in economics, statistics, data science, or related fields.

The breadth of the skill set makes graduates genuinely versatile across a wide range of analytical and decision-making roles.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts5%
128-143 pts25%
144-159 pts25%
160-175 pts5%
176-191 pts20%
192-207 pts10%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
a foundation year5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
85%
Continue past first year
79%
Student satisfaction
What graduates earn over time
Β£33,000
After 15 months
Β£35,500
3 years on
Β£50,000
5 years on
What graduates actually go on to do % of leavers
Elementary occupations10%
Finance ProfessionalsHighly skilled25%
Teaching ProfessionalsHighly skilled20%
Business and public service associate professionalsHighly skilled20%
Business, Research and Administrative ProfessionalsHighly skilled10%
Science, engineering and technology associate professionalsHighly skilled10%
What students say National Student Survey
79%
of students are satisfied with the course overall
Teaching75%
Assessment & feedback64%
Academic support52%
Well organised83%
Learning resources86%
Student community90%
In students' own words
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Would do it again
This is the perfect place to study this subject. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good trans…
Postgraduate Β· Full-time
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Genuinely worthwhile
This is the perfect place to study this subject. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, first-year classes can be quite large. On the city β€” the city is a brilliant student…
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 Queen Mary University of London'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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