Queen Mary University of London | Open Day | 12 June 2026
12 Jun 2026, 09:00
London

Combine expertise in economics and advanced mathematical techniques to find solutions to real-world situations.
Fascinated by data? Interested in what’s going on in the world around you? This degree combines economics, statistics, and mathematics to prepare you for roles where you’ll apply quantitative techniques to real-world challenges.
The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Science, so you’ll learn from experts across both fields. Many of our teaching staff also have practical experience and work closely with industry organisations including HM Treasury, the Debt Management Office, and the Bank of England.
Analyse real-time data
Kick off your studies by exploring key areas in each subject, like macroeconomics and quantitative analysis. Then zone in on statistical methods, modelling and econometrics. With our extensive choice of optional modules, you can also explore hot topics in the sector such as cryptography, generative AI, or big data.
As well as theory, you’ll perfect your practical skills in our Bloomberg trading room. Here you’ll use the same kit used by industry practitioners. All of the skills you learn will be invaluable, whatever field of economics you decide to work in
This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
Students aged 17/18 who applied to this course were offered a place.
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The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
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Mile End Road
Tower Hamlets
London
E1 4NS
Email:admissions@qmul.ac.uk