BSc (hons) mathematics, statistics, & business

3 Years On Campus Bachelors Program

London School of Economics and Political Science

Program Overview

The BSc Mathematics, Statistics and Business at the London School of Economics and Political Science (LSE) blends strong mathematical and statistical training with core business and economic principles. It suits students who enjoy analytical thinking, numbers, and data-driven problem-solving, and want a degree that leads to careers in finance, consulting, business analysis, actuarial science, or data science.

Curriculum Structure

Year 1

Your first year builds core quantitative foundations. You study modules such as Mathematical Methods and Elementary Statistical Theory, giving you strong grounding in calculus, algebra, probability, and statistical reasoning. You also take Microeconomics I, which introduces economic principles, along with LSE100, a skills-based course designed to develop critical thinking, interdisciplinary communication, and academic confidence. Optional courses allow you to begin tailoring your degree toward business, economics, or deeper quantitative pathways.

Year 2

In the second year, you move into more advanced mathematical and statistical theory with modules like Further Mathematical Methods, Probability, Distribution Theory and Inference, and Applied Regression. These courses expand your analytical depth and prepare you for high-level problem-solving in business and economics. You also choose optional modules that let you develop interests in areas such as economics, finance, accounting, advanced statistics, or actuarial-science-aligned subjects.

Year 3 (Final Year)

Your final year focuses on advanced quantitative skills and specialised business or economics applications. You select from higher-level mathematics, statistics, finance, business, or economics modules, depending on your chosen pathway. This flexible structure lets you shape your degree for careers in finance, data science, actuarial work, consulting, or economic analysis. The final-year curriculum is designed to consolidate your mathematical and statistical capabilities while allowing focused preparation for specific professional sectors.

Focus Areas

Mathematics, probability and statistics, advanced statistical modelling, economics, finance, business analysis, data analytics, quantitative decision-making, actuarial-aligned coursework, and applied mathematical methods.

Learning Outcomes

Graduates develop strong mathematical, statistical, and analytical skills, becoming adept at interpreting data, modelling real-world problems, and applying quantitative methods to business and economic contexts. They learn to communicate technical ideas clearly, make evidence-based decisions, and apply rigorous analytical thinking valued across finance, consulting, analytics, and business.

Professional Alignment (Accreditation)

The programme is designed to support entry into professions that rely on strong quantitative and business skills, including finance, banking, consulting, actuarial science, insurance, data science, and business analytics. Its structure allows students to choose modules that align with actuarial training, financial modelling, or statistical analysis.

Reputation (Employability & Outcomes)

LSE is internationally recognised for excellence in mathematics, statistics, and business education. Graduates of this programme are highly sought after and frequently secure roles in top financial institutions, consulting firms, data-driven organisations, and professional services companies. Many students also secure competitive internships during their degree, strengthening their employability and industry exposure.

Experiential Learning (Research, Projects, Internships etc.)

The BSc Mathematics, Statistics & Business at LSE is a rigorous, skill-shaping degree that blends advanced mathematical theory with real-world business applications. This program is ideal for students who want to develop strong analytical and quantitative reasoning skills while also gaining deep insights into business, finance, and decision-making. The curriculum prepares you for high-impact careers in consulting, investment banking, data analytics, actuarial science, and managerial roles in top global firms.

What You Will Study

Core Mathematics — Foundations in calculus, linear algebra, and advanced analysis to build strong theoretical understanding.
Statistics & Probability — Probability theory, statistical inference, data modelling, and stochastic processes that are widely applied in business analytics.
Business & Management — Modules in economics, accounting, operations, and organisational behaviour that prepare you for strategic business environments.
Applied Decision-Making — Quantitative methods, optimisation, and mathematical modelling used to solve real corporate problems.
Optional Modules — Opportunities to explore finance, econometrics, machine learning, advanced business strategy, or risk analysis.

🎯 Why LSE for This Program?

World-leading reputation in economics, mathematics, and business education.
Industry-aligned curriculum that trains students for high-level analytical roles.
Strong employer connections, especially with financial, consulting, and tech sectors.
Exceptional global network of alumni and recruiters.
Central London location, offering unmatched exposure to internships and corporate events.

💼 Career Prospects

Graduates from this LSE programme are highly sought-after and typically enter roles such as:

Investment Banking Analyst
Management Consultant
Data Analyst / Data Scientist
Actuarial Analyst
Business Intelligence Specialist
Risk & Financial Modelling Expert
Quantitative Researcher

LSE graduates are known for achieving excellent employment rates and competitive salaries globally.

Progression & Future Opportunities

The BSc Mathematics, Statistics & Business at LSE offers a powerful blend of mathematical rigour, statistical and data-oriented training, and business/economic insight — a combination that prepares graduates for analytical, quantitative, and managerial roles in business, finance, data science, consulting, or economic research. Graduates emerge with skills that enable them to bridge rigorous quantitative analysis and practical business decision-making — a mix many employers find valuable.

Typical career roles include:

Data Scientist / Data Analyst / Business Analyst
Quantitative or Risk Analyst in Finance / Banking / Insurance / FinTech
Management Consultant / Strategy Analyst (especially in data- or analytics-driven consulting)
Economic or Financial Researcher / Policy Analyst / Market Analyst
Business Intelligence or Analytics Specialist in corporate, finance, or tech sectors

University support & employability features:

Rigorous interdisciplinary curriculum: combination of mathematics, statistics, and business/economics ensures that graduates are both quantitatively strong and business-aware — ideal for data-driven business or finance environments.
Academic excellence & reputation: as part of LSE, the programme benefits from a world-class academic environment and strong recognition among employers globally — especially in finance, consulting, and business sectors.
Strong quantitative & analytical training: the mathematical and statistical foundation gives graduates capabilities in modelling, data analysis, probability, statistical inference, which are crucial in data science, risk analysis, actuarial work, and economic/financial analytics.
Business & economic context: understanding of business, economics, and markets helps graduates apply quantitative skills to real-world business, finance, and policy problems — increasing employability and impact.
Versatility and transferable skills: graduates gain not only technical skills (math, statistics, data analysis) but also critical thinking, business acumen, communication and decision-making skills — valuable in both technical and managerial careers.

Employment outlook & value:

Graduates are highly competitive for roles in finance, consulting, data science, analytics, market research, business intelligence, and economic or financial research.
The degree’s strong quantitative training + business insight gives flexibility — you can work in purely technical roles (data, analytics, risk) or in business/management-oriented positions (strategy, consulting, business operations) depending on interest.
Because of LSE’s global reputation and the interdisciplinary breadth of the programme, graduates are well positioned for international careers, multinational firms, or high-profile organisations.

Graduation outcomes:
Students finish with a robust foundation in mathematics and statistics, combined with business and economic understanding — enabling them to analyze data, model risk, interpret business or market dynamics, and make decisions that require both quantitative and economic/business insight. This prepares them for technical, analytical, and strategic roles in business, finance, consulting, data-intensive industries, and economic or financial research.

Further Academic Progression:

After this BSc, students have multiple strong routes forward:

Master’s degrees (MSc) in Data Science, Business Analytics, Finance, Econometrics & Mathematical Economics, Quantitative Finance, Risk Management, or Applied Statistics.
Management / Business postgraduate programmes (e.g. MBA or MSc in Management/Finance/Consulting/Economics) — leveraging business-oriented training plus quantitative skills.
Research degrees (MSc by Research / PhD) in Economics, Financial Mathematics, Econometrics, Data Science, Statistics, Business Analytics — especially if interested in research, policy work, or academic careers.
Professional or corporate careers in finance, consulting, data analytics, business intelligence, fintech, risk management — often with faster progression due to strong quantitative + business foundation.