BSc Mathematics and Economics

3 Years On Campus Bachelors Program

London School of Economics and Political Science

Program Overview

The BSc Mathematics and Economics at the London School of Economics and Political Science (LSE) combines rigorous mathematical training with economic theory and quantitative analysis. It suits students with strong analytical ability who want to study how mathematical methods underpin modern economics, finance, and policy analysis.


Curriculum structure

Year 1:
Students build foundations through core courses such as Mathematics for Economists, Elements of Economics, and Probability and Statistics. This year develops mathematical reasoning, basic economic theory, and quantitative skills essential for higher-level economic modelling.

Year 2:
The focus shifts to intermediate analysis with modules like Microeconomics II, Macroeconomics II, and Linear Algebra and Optimisation. Students learn to apply mathematical tools to economic models, market behaviour, and macroeconomic systems, strengthening analytical depth.

Year 3:
In the final year, students specialise through advanced options such as Econometrics, Advanced Microeconomics, Financial Mathematics, or Game Theory. This stage emphasises independent problem-solving, empirical analysis, and applying mathematics to complex economic and financial questions.


Focus areas:
Mathematical economics; microeconomics; macroeconomics; econometrics; probability and statistics; optimisation and modelling.

Learning outcomes:
Ability to apply advanced mathematical methods to economic problems; analyse economic data quantitatively; construct and evaluate economic models; conduct independent analytical work; communicate rigorous economic arguments.

Professional alignment (accreditation):
Strong preparation for careers in economics, finance, data analysis, consulting, policy-making, and postgraduate study in economics, finance, or quantitative disciplines.

Reputation (employability rankings):
LSE consistently ranks among the world’s top universities for economics and social sciences, with mathematics and economics graduates achieving excellent employability in finance, policy, research, and global institutions.

Experiential Learning (Research, Projects, Internships etc.)

At the London School of Economics and Political Science (LSE) BSc Mathematics and Economics  you’ll immediately begin applying economic theory to real-world problems, supported by the strength of one of the world’s leading economics departments. The teaching is closely integrated with research via the Department of Economics, LSE, meaning you’ll engage with contemporary data, quantitative tools and live economic debates. Here are some of the specific practical learning experiences and facilities you’ll make use of:

  • Access to the Department’s dedicated research-led seminars, events and networks in central London — you’ll have opportunities to attend guest lectures and discussions hosted by the Department of Economics. 

  • Modern academic infrastructure: the Sir Arthur Lewis Building houses the Economics Department; offering high-spec lecture theatres, seminar rooms and group working spaces. 

  • The ability to use LSE’s extensive library system including the British Library of Political and Economic Science — one of the world’s largest social-science libraries — for project work, data extraction and empirical research. 

  • Active student-led economics society (Economics Society, LSE) hosting Nobel Laureates, practitioner talks and networking events, providing peer learning and real-world exposure outside formal classes. 

  • Quantitative and data-skills training built in: you’ll study modules that involve mathematics, statistics and econometrics, and you’ll be working with datasets and modelling in tutorials and group projects (module listing indicates strong quantitative focus).

Progression & Future Opportunities

Graduates of LSE's BSc Mathematics and Economics demonstrate exceptional employability, with nearly 100% entering high-skilled roles in finance, consulting, and quantitative analysis due to rigorous training in mathematical modelling, econometrics, and economic theory. The program's prestige attracts top City employers, leading to rapid career acceleration and median salaries exceeding £50,000 within 15 months. Alumni dominate professional services and financial sectors globally.​

Typical job roles: Quantitative Analyst, Financial Consultant, Risk Analyst, Economic Forecaster.​

  • Careers service: LSE Careers dedicated finance workshops, mock interviews, alumni mentoring, and graduate recruitment fairs​

  • Employment stats: ~100% employed/studying; median salary £50k+ at 15 months​

  • Partnerships: City banks (Goldman Sachs, JP Morgan) for internships, guest lectures​

  • Accreditation value: LSE's world #1 economics ranking for lifelong quantitative credentials​

  • Outcomes: 80%+ in finance/consulting, strong PhD progression​

Further Academic Progression: Graduates can pursue MSc/PhD programs in quantitative finance, econometrics, or economics at LSE or elite institutions like Oxford/Chicago, extending undergraduate research into advanced mathematical economics.

Program Key Stats

£35,700
£9,535
£ 29
Sept Intake : 14th Jan


9 %

Eligibility Criteria

A*AA
3.7
39
90 - 95

N/A
N/A
7.0
100

Additional Information & Requirements

Career Options

  • Quantitative Analyst
  • Data Analyst
  • Actuary
  • Risk Analyst
  • Economic Consultant
  • Statistician

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