Financial Mathematics and Statistics London School of Economics and Political Science

Overview

The Financial Mathematics and Statistics programme at the London School of Economics and Political Science offers a comprehensive education in the quantitative methods essential for modern finance. Students explore the deep interrelationships between mathematical theory and statistical application to solve complex economic problems. This degree is designed to meet the growing global demand for professionals who can interpret large datasets and manage financial risk effectively.

Jointly delivered by the Departments of Mathematics and Statistics, the curriculum ensures a balanced perspective on both disciplines. You will develop a sophisticated understanding of mathematical methods while gaining practical insights into investment decisions and financial modelling.

Why Financial Mathematics and Statistics at the London School of Economics and Political Science?

The university is a world-leading centre for social sciences, consistently ranked as a top institution in the UK and globally. The Department of Mathematics is renowned for its research-led teaching, particularly in areas such as game theory, discrete mathematics, and financial optimisation. Students benefit from a vibrant intellectual community and strong interdisciplinary links with the Departments of Economics and Finance.

Facilities include the LSE Library and the Learning Lab, which provide extensive resources for academic development. The department’s research was recently recognised as world-leading in the Research Excellence Framework, ensuring that the curriculum remains at the forefront of contemporary mathematical thought. This environment fosters academic excellence and prepares students for the rigours of professional quantitative analysis.

Tuition Fee Breakdown

• International fee: GBP 35700 per year
• National fee: GBP 9535 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

Year 1

• Microeconomics
• Macroeconomics
• Mathematical Methods
• Statistical Theory
• Mathematical Proof and Analysis
• Abstract Mathematics and Algorithms

Year 2

• Finance
• Mathematical Methods
• Probability and Distribution Theory
• Statistical Inference
• Real Analysis
• Pricing, Hedging and Optimization

Year 3

• Risk Management and Modelling
• Derivatives
• Computational Methods in Financial Mathematics
• Financial Statistics

Careers with Financial Mathematics and Statistics

Graduates from this programme are highly sought after for their advanced quantitative and analytical skills. Many secure roles in corporate finance, accountancy, management consultancy, and investment banking. The degree also provides an excellent foundation for further postgraduate study in specialised fields such as economics or financial engineering.

Typical employers include global financial institutions, professional service firms, and technology companies. Graduates often work in sectors such as accounting and auditing, digital technology, and data science. The university provides extensive career support, including CV workshops, careers fairs, and networking opportunities with top UK employers to assist students in their transition to the professional world.