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

Statistics, Economics and a Language

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 a language is one of the most genuinely interdisciplinary combinations in the UCL undergraduate offer, bringing together three distinct but complementary bodies of knowledge and skill. Statistics is the science of reasoning from data under uncertainty, providing the mathematical tools to extract meaning from information and to quantify what we know and do not know. Economics provides the theoretical and empirical framework for understanding how markets, agents and institutions make decisions.

A language opens access to a different cultural and intellectual tradition while developing the communication and analytical skills that language learning requires.

This three-year full-time programme at UCL develops all three components to a high level. You will cover probability theory, statistical inference, regression analysis and multivariate methods alongside microeconomics, macroeconomics, econometrics and economic theory, and you will develop language skills through intensive study of your chosen language. The combination develops a genuinely unusual set of capabilities: the rigour to work with data, the theoretical framework to understand economic systems and the linguistic and cultural competence to engage across borders.

UCL's strong traditions in all three fields mean you benefit from excellent teaching and research across the programme.

Graduates from this combination are exceptionally well placed in the graduate market. Financial services, economic consultancy, international organisations, data science, government economic and statistical services, the technology sector and academia all offer excellent career pathways. The combination of quantitative skills, economic understanding and language competence is particularly valuable in internationally oriented roles, and the language dimension significantly broadens the range of organisations and countries in which graduates can work.

Postgraduate study in statistics, economics, data science or a language-related field is also a natural pathway.

Could you get in?
The grades students arrived with
<48 pts3%
48-63 pts3%
80-95 pts1%
96-111 pts3%
112-127 pts2%
128-143 pts4%
144-159 pts9%
160-175 pts13%
176-191 pts9%
192-207 pts10%
208-223 pts11%
224-239 pts8%
240+ pts16%
How they qualified
86% got in with A-levels. The rest came in a mix of ways:
A-levels86%
the IB9%
another degree3%
other higher education1%
Other1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
89%
In work or further study after
85%
Continue past first year
86%
Student satisfaction
What graduates earn over time
Β£31,000
3 years on
Β£42,500
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled25%
Finance ProfessionalsHighly skilled51%
Business and public service associate professionalsHighly skilled30%
Administrative occupations5%
Media ProfessionalsHighly skilled10%
Information Technology ProfessionalsHighly skilled20%
Teaching and Childcare Support Occupation5%
Leisure, travel and related personal service occupations5%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback80%
Academic support73%
Well organised84%
Learning resources91%
Student community91%
In students' own words
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Highly recommend
The programme genuinely lives up to its reputation. The best part: case-based teaching forces you to think commercially. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” local cost of living is managea…
Postgraduate Β· Full-time
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Exceeded expectations
Coming here has changed how I think. The best part: the cohort are bright and motivated, which makes the learning environment great. If I'm honest, admin can be slow to respond, especially at start of term. On the city β€” local cost of livin…
Class of 2023 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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