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

Statistics, Economics and Finance

University College 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

Statistics, economics, and finance is a powerful triple combination designed for students who want to develop rigorous quantitative skills alongside deep understanding of economic behaviour and financial markets. Statistics provides the mathematical toolkit for extracting meaning from data and quantifying uncertainty. Economics furnishes the theoretical frameworks for understanding how markets, firms, and governments behave.

Finance applies and extends both to the analysis of investments, asset pricing, risk, and the operation of financial systems. Together, these three disciplines produce graduates with an unusually strong and versatile set of analytical capabilities.

At University College London, this three-year full-time programme takes you through probability theory, statistical inference, and data modelling alongside core microeconomics, macroeconomics, and econometrics, then extends into financial economics, asset pricing, derivatives, and the mathematics of financial markets. The curriculum is mathematically demanding, requiring facility with calculus, linear algebra, and probability, and it builds towards the kind of sophisticated quantitative analysis used by economists, financial analysts, and data scientists in professional settings. UCL's location in London and its connections to the financial and analytical sectors provide a rich professional context for this quantitative education.

Graduates from this programme are highly sought after in finance, investment banking, asset management, insurance, economic consultancy, the civil service, central banking, and data-intensive roles across industry and the public sector. The combination of statistical and economic training makes graduates particularly effective as analysts, modellers, and researchers in environments where quantitative reasoning is central to the work. Many go on to postgraduate study in economics, finance, statistics, or related fields such as financial mathematics or machine learning, where the technical foundation provided by this degree is a significant advantage.

Could you get in?
The grades students arrived with
<48 pts5%
48-63 pts8%
64-79 pts1%
80-95 pts1%
112-127 pts5%
128-143 pts5%
144-159 pts8%
160-175 pts10%
176-191 pts8%
192-207 pts13%
208-223 pts12%
224-239 pts8%
240+ pts9%
How they qualified
86% got in with A-levels. The rest came in a mix of ways:
A-levels86%
the IB7%
another degree3%
other higher education3%
Other1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
89%
In work or further study after
95%
Continue past first year
87%
Student satisfaction
What graduates earn over time
Β£40,000
After 15 months
Β£38,000
3 years on
Β£58,000
5 years on
What graduates actually go on to do % of leavers
Managers, directors and senior officialsHighly skilled30%
Administrative occupations5%
Finance ProfessionalsHighly skilled51%
Business, Research and Administrative ProfessionalsHighly skilled25%
Information Technology ProfessionalsHighly skilled20%
Business and public service associate professionalsHighly skilled20%
Science, engineering and technology associate professionalsHighly skilled5%
Teaching ProfessionalsHighly skilled5%
What students say National Student Survey
87%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback83%
Academic support75%
Well organised86%
Learning resources89%
Student community91%
In students' own words
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Genuinely worthwhile
I've grown so much academically and personally here. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the cit…
Class of 2023 Β· Full-time
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Would do it again
The course has exceeded my expectations. The best part: the accounting and finance streams are taught by practitioners, not just academics. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the city is…
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 University College 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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