BSc Econ Hons Economics, Statistics and Mathematics with Year Abroad

4 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Econ) in Economics, Statistics and Mathematics with Year Abroad at Queen Mary University of London combines rigorous training in economic theory, quantitative mathematics, and statistics with the added benefit of a full year studying at a partner university overseas. It is ideal for students who enjoy data-driven analysis, mathematical reasoning, and economic thinking, and who want to broaden their academic experience internationally.

Curriculum structure:

Year 1
In the first year, students build foundational understanding across economics, mathematics, and statistics. They 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 combination ensures solid grounding in economic concepts, quantitative reasoning, and basic statistical methods.

Year 2
In the second year, the focus deepens on both economic theory and quantitative tools. Students take Microeconomics 2 and Macroeconomics 2, alongside mathematical and statistical modules such as Applied Linear Algebra, Probability and Statistics II, Statistical Modelling I, and Games and Strategies. They also select two electives — either from economics or mathematics/statistics — such as International Finance, Econometrics, Actuarial Statistics, Differential Equations, Linear Programming and Games, or Statistics for Insurance, allowing early specialisation.

Year 3 (Year Abroad)
In the third year, students spend a full year at a partner university overseas. This offers exposure to different academic environments, global perspectives on economics and quantitative disciplines, and international experience that enhances both learning and personal growth. Modules originally scheduled for Year 3 at Queen Mary are deferred until return.

Year 4 (Final Academic Year)
After returning from abroad, students complete a selection of advanced modules across economics, mathematics, and statistics. They 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). This final-year flexibility allows specialisation in economic policy, quantitative finance, 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, global economic perspectives via year abroad, optional specialisation in finance, public policy, actuarial/statistical analysis, or computational economics.

Learning outcomes:
Graduates will have strong analytical and quantitative skills, a deep understanding of economic theory and its mathematical/statistical foundations, ability to model and analyse economic data, and international academic exposure. They will be prepared for careers in economics, finance, data analysis, policy, research, or further studies, with global perspective and versatile skill set.

Professional alignment (accreditation):
The programme is jointly delivered by the School of Economics and Finance and the School of Mathematical Sciences, combining expertise from both departments to ensure comprehensive training in economics, mathematics, and statistics — aligned with academic and industry standards.

Reputation (employability & career prospects):
Graduates are well positioned for roles in economic analysis, finance, data science, consulting, public policy, research institutes, and international organisations. The mix of economics, quantitative skills, and international exposure makes this degree attractive to employers across sectors including banking, finance, government policy, analytics, and global firms.

Experiential Learning (Research, Projects, Internships etc.)

This four-year version of the Economics, Statistics and Mathematics degree combines strong grounding in economics, mathematical/statistical analysis, and the opportunity for a full year studying abroad — giving students both academic depth and global exposure.

Experiential Learning & International Exposure

Students benefit from a mix of theory, applied quantitative work, and global learning that prepares them for diverse careers and experiences:

Joint teaching by the School of Economics and Finance and the School of Mathematical Sciences — ensuring expertise in economics, statistics, and mathematics.
Access to modern facilities: for mathematics/statistics, teaching rooms, IT labs and study spaces; for economics/finance, specialised resources including the Bloomberg trading room, allowing students to work with tools used in industry.
Hands-on data analysis, statistical computing and econometric training — using statistical packages and real economic/financial data to learn modelling, forecasts, and quantitative reasoning.
Year Abroad in Year 3: students spend their third year at a partner university overseas, gaining exposure to different academic systems, economic contexts, and international networks — broadening their perspectives and global awareness.
After returning from abroad, final-year modules combine advanced economics and mathematics/statistics courses — enabling students to consolidate their global experience with strong analytical training.

Programme Structure & What Students Learn

Years 1 & 2: Core grounding in mathematics, statistics, and economics: modules include sets/functions and numbers; vectors and matrices; probability and statistics; principles of economics; microeconomics and macroeconomics; mathematical methods for economics and finance; ensuring a robust quantitative-economics foundation.
Year 3 (Year Abroad): Study at a partner university overseas. The usual Year 3 modules at QMUL are deferred, and the student spends this year abroad — immersing in different academic and economic environments.
Year 4 (Final Year): Students complete remaining Level-6 modules — must take credits from both Mathematics & Statistics and Economics & Finance disciplines. They can choose from diverse electives: advanced econometrics, environmental economics, public economics, advanced mathematics/statistics topics (e.g., computational statistics, cryptography, machine learning, financial mathematics), allowing them to tailor the degree to their interests and career goals.

Why This Degree + Year Abroad Stands Out

The combination of economics, statistical/mathematical rigour and economics theory makes graduates versatile — able to work in data-driven economics, finance, policy, research, consulting, or continue to postgraduate studies.
Practical training with real data, statistical computing, econometric tools and access to industry-style environments (like the Bloomberg trading room) prepares students for modern economic, financial or data-analysis roles.
The Year Abroad adds a global dimension — working with different academic frameworks, experiencing economies in other countries, expanding cross-cultural understanding and building international networks — which can be a strong advantage in global finance, economics, research or consultancy careers.
Flexibility: with a wide selection of economics, statistics and mathematics electives in the final year, students can shape their degree toward areas they are passionate about — be it econometrics, environmental economics, financial mathematics, data science or more theoretical mathematics/statistics.

Progression & Future Opportunities

Graduates of the Economics, Statistics and Mathematics with Year Abroad 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 Abroad enhances their global perspective and adaptability, making them highly competitive for roles in multinational corporations, government agencies, and international organisations.

Why This Degree Opens Doors:

University‑supported employability services: The QMUL School of Mathematical Sciences provides careers support including internship guidance, CV and application coaching, interview preparation, and networking opportunities.
Strong employment record & starting salary: A large 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 across finance, consulting, government, and technology sectors, benefiting from the international experience gained during the Year Abroad.
Accredited, high‑quality academic training with long-term value: The programme combines economics, statistics, and mathematics, covering microeconomics, macroeconomics, econometrics, probability, and data analysis, providing a strong foundation for analytical and quantitative roles.
International exposure and flexibility: The Year Abroad component offers cultural immersion and global perspectives, enhancing employability in international and multinational organisations.
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.