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

Economics with Econometrics

Goldsmiths' College
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.
Robin · 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 is the study of how societies allocate scarce resources, how markets form prices, how incentives shape behaviour and how policy can redirect outcomes. Econometrics brings the rigour of statistical method to these questions, providing the tools to test economic theories against real data, to measure the effects of policy interventions, and to build models that can inform forecasting and decision-making. Together they form a combination that is analytically demanding and practically powerful, sitting at the heart of evidence-based economic thinking.

At Goldsmiths you will study the core areas of microeconomics and macroeconomics alongside quantitative methods that include probability theory, regression analysis, time-series modelling and the use of statistical software. You will develop the ability to formulate economic questions precisely, identify appropriate data sources, apply the right estimation techniques and interpret results with appropriate scepticism. Goldsmiths brings a distinctive approach to the social sciences, encouraging critical engagement with orthodox frameworks and attention to questions of inequality, power and institutional context.

You will be expected to think about what economic models assume, where those assumptions hold and where they break down, as well as how to use them.

The analytical skills this combination develops are among the most sought after in the graduate labour market. Economists and econometricians work in central banks, government departments, the civil service, international organisations, financial institutions, management consultancies, think tanks and academic research. The ability to work with large datasets, construct credible causal arguments and communicate quantitative findings clearly is valued across public and private sectors alike.

Many graduates continue to postgraduate study, including master's programmes in economics, econometrics, data science or finance, or doctoral research. This degree prepares you to contribute to economic analysis at a serious level.

Could you get in?
The grades students arrived with
64-79 pts25%
80-95 pts25%
96-111 pts15%
112-127 pts25%
144-159 pts5%
160-175 pts5%
How they qualified
85% got in with A-levels. The rest came in a mix of ways:
A-levels85%
an Access course5%
other higher education5%
Other5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
95%
In work or further study after
80%
Continue past first year
86%
Student satisfaction
What graduates earn over time
£28,000
After 15 months
£25,000
3 years on
£30,000
5 years on
What graduates actually go on to do % of leavers
Secretarial and related occupations10%
Business, Research and Administrative ProfessionalsHighly skilled25%
Leisure, travel and related personal service occupations10%
Finance ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled15%
Information Technology ProfessionalsHighly skilled10%
Quality and Regulatory ProfessionalsHighly skilled10%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching90%
Assessment & feedback85%
Academic support73%
Well organised100%
Learning resources76%
Student community85%
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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 Goldsmiths' College's own site.
Apply on uni site
Careermash · 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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