The Department of Mathematics, located within a world-class social science institution, aims to be a leading centre for mathematics in the social sciences. We have a stimulating and active research environment and offer a wide range of degree programmes and courses.

### Articles

- A Book of Abstract Algebra
- A Concise Introduction to Pure Mathematics
- Advanced Calculus
- Advanced Mathematical Methods
- Adventures in stochastic processes
- An Introduction to Mathematical Statistics and Its Applications
- An Introduction to Mathematical Reasoning: Numbers, Sets and Functions
- Approximation Algorithms
- Arbitrage Theory in Continuous Time
- Calculus: Concepts and Methods
- Credit risk: Pricing, measurement, and management
- Differential Equations, Stability, and Chaos in Dynamic Economics
- Dynamical Systems: Differential equations, maps, and chaotic behaviour
- Elementary Linear Algebra
- Financial Derivatives in Theory and Practice
- Fixed Income Markets and Their Derivatives
- Fixed income securities: Tools for today’s markets
- Fixed income securities: Valuation, risk, and risk management
- Introduction to Algebra
- Introduction to Algorithms
- Introduction to Computation and Programming Using Python
- Introduction to Real Analysis
- Introduction to Stochastic Calculus Applied to Finance
- Linear Algebra: Concepts and Methods
- Martingale methods in financial modelling
- Mathematics for Economics and Business
- Microeconomics
- Modern pricing of interest-rate derivatives: The LIBOR market model and beyond
- Monte Carlo Methods in Financial Engineering
- Numbers and Proofs
- Numerical Solution of Stochastic Differential Equations with Jumps in Finance
- Principles of Mathematical Analysis
- Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
- Probability and Statistical Inference: From Basic Principles to Advanced Models
- Probability with Martingales
- Rings, Fields and Groups, An Introduction to Abstract Algebra
- Risk-Neutral Valuation: Pricing and Hedging of Financial Derivatives
- Statistical Inference
- Stochastic Differential Equations: An Introduction with Applications
- The Design of Approximation Algorithms
- Think Python: How to Think Like a Computer Scientist
- Yet Another Introduction to Analysis