BSc Econ Hons Economics, Statistics and Mathematics with a Year in Industry

4 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Econ) in Economics, Statistics and Mathematics with a Year in Industry at Queen Mary University of London combines rigorous training in economic theory, mathematics, and statistics with a full year of professional work experience in industry. It is suitable for students who want to develop strong quantitative and analytical skills while gaining practical exposure to business, finance, or policy environments before graduation.

Curriculum structure:

Year 1
The first year provides a strong foundation across economics, mathematics, and statistics. Students study 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 ensures grounding in economic concepts, quantitative reasoning, and statistical methods.

Year 2
The second year focuses on intermediate economics, mathematics, and statistics. Students take Microeconomics 2, Macroeconomics 2, Applied Linear Algebra, Probability and Statistics II, Statistical Modelling I, and Games and Strategies. Electives such as Econometrics, International Finance, Actuarial Statistics, Differential Equations, or Linear Programming and Games allow early specialisation in economics, finance, or data-driven fields.

Year 3 (Year in Industry)
The third year is dedicated to a professional placement in industry. Students gain paid, practical experience in sectors such as banking, consulting, government, data analytics, or financial services. This year allows students to apply their quantitative and analytical skills in real-world contexts, develop professional networks, and gain insight into workplace practices.

Year 4 (Final Academic Year)
In the final year, students return to Queen Mary to complete advanced modules and a substantial independent project. Options include advanced economics electives (e.g., econometrics, 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, Complex Networks). Students can specialise according to interests 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, professional industry experience, optional specialisation in finance, public policy, actuarial/statistical analysis, or computational economics.

Learning outcomes:
Graduates develop strong analytical and quantitative skills, applied experience in industry, and an advanced understanding of economic theory and quantitative methods. They are prepared for careers in finance, consulting, government policy, data analysis, research, and other quantitative or policy-focused sectors.

Professional alignment (accreditation):
The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Sciences, combining academic expertise with practical industry experience to ensure alignment with professional and academic standards.

Reputation (employability & career prospects):
Graduates are highly employable in economics, finance, consulting, government, data analysis, and research roles. The combination of strong quantitative skills, applied professional experience, and rigorous academic training makes them attractive to employers across multiple sectors.

Experiential Learning (Research, Projects, Internships etc.)

This four-year version of the BSc (Econ) in Economics, Statistics and Mathematics gives a strong grounding in economics, mathematics, and statistics — plus the chance to spend an entire year working in industry. It is ideal for students who want academic depth and practical, workplace-ready experience.

Experiential Learning & Industry Exposure

Students on this “Year in Industry” track benefit from real-world exposure in addition to academic study:

The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Sciences, offering strong training in economic theory, statistical methods, and mathematical techniques.
Practical, data-driven learning: students work with real economic and financial datasets, statistical modelling, and quantitative analysis, developing skills relevant for analytics, econometrics, risk-analysis, or finance roles.
Use of industry-relevant facilities, including a dedicated trading room for economics and finance students, providing exposure to tools used in banking, markets, and financial services.
The “Year in Industry” placement: in the third year, students undertake a full year of work in industry, finance, data, consulting, or related sectors, applying quantitative and economic skills in a real business environment.
After returning from industry, final-year study allows deeper specialization via electives in advanced economics, econometrics, statistics, mathematical modelling, computational statistics, or finance-oriented mathematics — enabling students to tailor the degree to their interests and career goals.

Programme Structure & What Students Learn

Years 1 & 2: Core modules combining mathematics, statistics, and economics — including probability and statistics, vectors and matrices, sets and numbers, microeconomics, macroeconomics, mathematical methods for economics and finance, and statistical modelling.
Year 3 (Industry Placement): Students spend this year working full-time in industry, gaining exposure to real-world economics, finance, data-analysis, or business settings, and applying their quantitative skills in a workplace context.
Year 4 (Final Year): Students complete advanced modules from economics, mathematics, and statistics; choose electives such as econometrics, financial mathematics, computational statistics, machine learning, or mathematical modelling; and integrate their academic and industry experience to prepare for graduate-level careers or further study.

Why This Programme Gives a Competitive Edge

Graduates combine theoretical knowledge (economics + mathematics + statistics) with real-world experience, making them highly attractive to employers in finance, consulting, data analytics, risk management, economic research, or policy.
The year in industry allows students to apply learning in a live environment, build industry contacts, and graduate with both a degree and relevant work experience.
Flexibility to specialize through electives and final-year choices enables students to align their degree with personal interests in econometrics, data science, finance, policy, or research.

Progression & Future Opportunities

Graduates of the Economics, Statistics and Mathematics with a Year in Industry 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 Year in Industry provides practical work experience, giving graduates a competitive advantage in securing graduate roles and accelerating career progression in finance, consulting, government, and data-driven industries.

Why This Degree Opens Doors:

University‑supported employability services: The QMUL School of Mathematical Sciences provides careers support including guidance on professional placements, 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, reflecting the practical experience gained during the Year in Industry.
Access to industry-leading employers: Graduates gain opportunities with top firms across finance, consulting, government, and technology sectors, with the placement often leading directly to graduate positions.
Accredited, high‑quality academic training with long-term value: The programme integrates economics, statistics, and mathematics, covering microeconomics, macroeconomics, econometrics, probability, and data analysis, equipping students for analytical and quantitative roles.
Professional placement experience: The Year in Industry allows students to apply theory in real-world settings, gain workplace skills, and build a professional network prior to graduation.
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. Professional qualifications in finance, economics, or analytics are also viable, as are doctoral studies for those seeking advanced research opportunities.