Mathematics University of Cambridge

Overview

The Mathematics programme at the University of Cambridge provides a world-class environment for students to develop their analytical skills to the highest professional levels. This flexible degree allows learners to explore a vast range of subjects, from fundamental algebraic systems to the complexities of black holes. Students benefit from a historic tradition of excellence while engaging with modern research that shapes global scientific policy.

Why Mathematics at the University of Cambridge?

Cambridge has served as a global centre for mathematical excellence since the era of Isaac Newton. Today, the Faculty includes Fields Medallists and Fellows of the Royal Society, ensuring that students are taught by some of the world's most distinguished mathematicians. The Centre for Mathematical Sciences provides a dedicated community hub featuring a specialist library, collaborative break-out spaces with blackboards, and an on-site café for informal problem-solving sessions.

Tuition Fee Breakdown

• International fee: GBP 32406 per year
• National fee: GBP 9790 per year

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

Syllabus

The curriculum is designed to be foundational in the first year before offering extensive elective choices in subsequent years. Modules may include:

• Algebraic Systems
• Probability
• Mathematical Methods
• Newtonian Dynamics and Special Relativity
• Complex Analysis
• Electromagnetism
• Quantum Mechanics
• Fluid Dynamics
• Numerical Analysis

Advanced students in their third and fourth years can further specialise in diverse areas. Modules may include:

• Coding and Cryptography
• Number Theory
• Cosmology
• General Relativity
• Stochastic Financial Models
• Mathematical Biology
• Mathematics of Machine Learning
• Quantum Information and Computation
• Galois Theory

Careers with Mathematics

Graduates from this programme are highly marketable and in high demand across business, commerce, industry, and academia. The versatile nature of the degree prepares students for technical roles such as AI research engineers, cybersecurity analysts, and biomedical research scientists. Other common career paths include becoming actuaries, accountants, consultants, financiers, or sports statisticians. Many graduates also choose to continue their academic journey through further research or teaching positions.