BSc Econ Hons Economics, Statistics and Mathematics

3 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Econ) in Economics, Statistics and Mathematics at Queen Mary University of London combines rigorous training in economic theory, mathematics, and statistics. It is suitable for students who enjoy quantitative analysis and want a strong foundation to pursue careers in economics, finance, data analysis, or public policy.

Curriculum structure:

Year 1
In the first year, students gain foundational knowledge in economics, mathematics, and statistics. Modules include Principles of Economics, Microeconomics 1, Macroeconomics 1, Mathematical Methods in Economics and Finance, Applied Probability & Statistics, and Sets, Functions and Numbers / Vectors and Matrices. This provides a solid base in economic concepts, quantitative reasoning, and statistical techniques.

Year 2
The second year develops intermediate knowledge in economic theory and quantitative skills. Students study Microeconomics 2, Macroeconomics 2, Applied Linear Algebra, Probability and Statistics II, Statistical Modelling I, and Games and Strategies. Electives from mathematics, statistics, or economics such as Econometrics, International Finance, Actuarial Statistics, Differential Equations, or Linear Programming and Games allow early specialisation.

Year 3 (Final Academic Year)
In the final year, students focus on advanced economics, mathematics, and statistics modules. They can choose from economics electives (e.g., econometrics, public economics, development economics, labour economics, macro/microeconomic policy) and mathematics/statistics electives (e.g., Bayesian Statistical Methods, Computational Statistics with R, Financial Mathematics, Introduction to Machine Learning, Cryptography, Complex Networks). Students also complete a substantial independent project, enabling them to specialise in areas such as quantitative finance, economic policy, data analysis, or academic research.

Focus areas:
Economic theory (micro and macro), quantitative mathematics, probability and statistics, econometrics and statistical modelling, mathematical methods for economics and finance, data analytics, optional specialisation in finance, public policy, actuarial/statistical analysis, or computational economics.

Learning outcomes:
Graduates develop strong analytical and quantitative skills, a deep understanding of economic theory and its mathematical/statistical foundations, and the ability to model and analyse economic data. They are well-prepared for careers in economics, finance, data analysis, policy, research, or further studies.

Professional alignment (accreditation):
The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Sciences, ensuring comprehensive training in economics, mathematics, and statistics aligned with academic and industry standards.

Reputation (employability & career prospects):
Graduates are prepared for roles in economic analysis, finance, data science, consulting, public policy, research institutes, and international organisations. The combination of economics, quantitative skills, and rigorous training makes this degree highly valued by employers across multiple sectors.

Experiential Learning (Research, Projects, Internships etc.)

The BSc Economics, Statistics and Mathematics degree at Queen Mary provides a rigorous, three-year programme that combines strong foundations in economics, mathematics, and statistics. It equips students with analytical, quantitative, and problem-solving skills, preparing them for careers in economics, finance, data analytics, policy-making, or further academic study.

Experiential Learning & Practical Exposure

Students benefit from a combination of theory, applied quantitative work, and practical learning opportunities:

Joint teaching by the School of Economics and Finance and the School of Mathematical Sciences, ensuring expertise across economics, statistics, and mathematics.
Access to modern facilities: teaching rooms, IT labs, and study spaces for mathematics/statistics; specialised resources including the Bloomberg trading room for economics and finance applications.
Hands-on data analysis and statistical computing, using real economic and financial datasets to develop modelling, forecasting, and quantitative reasoning skills.
Tutorials and group exercises that encourage collaborative problem-solving and application of theoretical concepts to real-world scenarios.
Optional projects and advanced coursework in final years allow students to apply mathematical and statistical tools to economics research and real-world problems.

Programme Structure & What Students Learn

Year 1: Core modules in mathematics, statistics, and economics, including sets/functions and numbers; vectors and matrices; probability and statistics; principles of economics; microeconomics and macroeconomics; and mathematical methods for economics and finance.
Year 2: Further development in mathematics/statistics and economics, including applied statistics, econometrics, intermediate microeconomics and macroeconomics, linear algebra, and advanced probability.
Year 3 (Final Year): Students complete advanced modules from both disciplines, such as econometrics, financial mathematics, applied statistics, environmental or public economics, and have the option to undertake a dissertation or project. This allows them to integrate and apply knowledge gained in previous years.

Why This Degree Stands Out

Graduates acquire a strong combination of economics knowledge and quantitative skills in mathematics and statistics, making them highly versatile for careers in finance, data analysis, consultancy, policy, research, or postgraduate studies.
Training in data analysis, statistical computing, and econometrics ensures students can work with real-world data and solve practical economic problems.
The integrated curriculum allows students to tailor their degree to specific interests through elective modules and project work.

Progression & Future Opportunities

Graduates of the Economics, Statistics and Mathematics BSc Econ (Hons) at Queen Mary University of London (QMUL) are prepared for careers such as economic analyst, data analyst, financial consultant, policy advisor, or quantitative researcher. The programme equips students with strong analytical, mathematical, and statistical skills, making them competitive for roles in finance, consulting, government, and data-driven industries.

Why This Degree Opens Doors:

University‑supported employability services: The QMUL School of Mathematical Sciences offers careers support including internship guidance, CV and application coaching, interview preparation, and networking events.
Strong employment record & starting salary: A high proportion of graduates secure employment or further study within six months of graduation, with typical starting salaries around £30,000–£32,000.
Access to industry-leading employers: Graduates have opportunities with top firms in finance, consulting, government, and technology sectors, leveraging strong analytical and quantitative skills.
Accredited, high‑quality academic training with long-term value: The programme combines economics, statistics, and mathematics, covering microeconomics, macroeconomics, econometrics, probability, and data analysis, preparing students for analytical and quantitative roles.
Diverse graduate outcomes: Graduates are equipped for careers in finance, consulting, data analysis, economic research, policy advisory, and risk management.

Further Academic Progression:
After completing the BSc Econ, graduates may pursue Master’s or research programmes in economics, finance, data science, applied mathematics, or econometrics. They may also undertake professional qualifications in finance, economics, or analytics, or progress to doctoral studies for advanced research opportunities.