Mathematics and Computation London School of Economics and Political Science

Overview

The Mathematics and Computation programme at the London School of Economics and Political Science provides a rigorous foundation in the mathematical structures that underpin modern society. This degree is specifically designed for mathematicians seeking to enhance their computational skills and for quantitative professionals aiming to master advanced mathematical theory. Students explore the intersection of human cooperation and algorithmic competition to understand how these forces shape the global landscape.

The curriculum focuses on the practical implementation of theoretical concepts, ensuring graduates are equipped for the technical demands of the digital age. By combining discrete mathematics with hands-on training in Python, the programme prepares students to solve complex problems across various scientific and social domains.

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

The Department of Mathematics is a premier centre for studying mathematics within the social sciences, fostering a vibrant intellectual community. It was ranked as world-leading or internationally excellent in the most recent Research Excellence Framework, reflecting its commitment to high-level academic output. Students benefit from a research-led teaching environment that maintains close ties with other prestigious departments, including Economics, Finance, and the Data Science Institute.

Located in central London, the institution offers an inclusive learning atmosphere where students are supported by internationally respected academics. The department’s rapid growth has led to exciting developments in research areas such as game theory and optimisation. This dynamic setting ensures that learners are at the forefront of mathematical innovation while enjoying access to extensive campus resources and professional networks.

Tuition Fee Breakdown

• International fee: GBP 28900 per year
• National fee: GBP 18300 per year

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

Syllabus

The curriculum includes a mandatory core in computational methods alongside a significant independent research component. Modules may include:

• Algorithms and Computation
• Project in Mathematics
• Dissertation in Mathematics
• Game Theory
• Discrete Mathematics
• Network Theory
• Probability and Stochastics
• Optimisation
• Machine Learning

Careers with Mathematics and Computation

Graduates are highly sought after for roles that require a blend of quantitative analysis and technical proficiency. Many alumni secure high-earning positions in software development, industrial research, consultancy, and policy formation. The programme also serves as an excellent springboard for those wishing to pursue doctoral studies at the research level.

Recent graduates have successfully transitioned into careers at world-renowned organisations, including Google, Goldman Sachs, and Credit Suisse. Other common destinations include Amazon, Facebook, and BlackRock, particularly within the financial and digital technology sectors. The skills acquired enable students to excel in diverse industries such as insurance, manufacturing, and professional scientific activities.