Economics, Statistics and Mathematics

BSc(Econ) · Queen Mary University of London · 4 years

Economics, Statistics and Mathematics

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Queen Mary University of London

AI IMPACT
MEDIAN PAY, 15 MOnot published
SATISFACTION85%
CONTINUATION89%
PROFESSIONAL JOBS81%
DESTINATION-WEIGHTEDAI is already used for about 51% of the work its graduates go into (High).

About this course

Economics, statistics, and mathematics is a combination built for anyone who wants to understand the world through data and quantitative reasoning. Economics provides the theoretical frameworks to analyse markets, resource allocation, inequality, and growth. Statistics gives you the tools to handle uncertainty, build models from real data, and draw reliable conclusions from evidence. Mathematics underpins both, developing the precision and logical rigour that quantitative analysis demands. Together they form a degree that is technically demanding and intellectually serious, oriented towards the kind of problems where clean thinking and careful analysis genuinely matter. At Queen Mary University of London this four-year full-time programme develops your ability to apply quantitative techniques to real-world challenges across economics and beyond. You will study economic theory at both mi

Where its graduates go

The 5 largest scored destinations, covering 102% of graduates; the headline also reflects the subject baseline.

  • 72 / 100Information Technology Professionals · 19% of graduatescards →
  • 60 / 100Business, Research and Administrative Professionals · 12% of graduatescards →
  • 55 / 100Administrative occupations · 10% of graduatescards →
  • 52 / 100Finance Professionals · 49% of graduatescards →
  • 48 / 100Business and public service associate professionals · 12% of graduatescards →

The tabs above carry the rest: modules and satisfaction (The Course), where you'd live and what it costs (Student Life), the full pay story (Pay & Outcomes), and easier ways into the same subject (Alternatives).

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).