Leeds is a member of the Russell Group of research-intensive universities and the School of Mathematics is globally renowned for its accomplishments. In the Research Excellence Framework (REF) 2021, 98% of the research activity submitted in the Mathematics Unit of Assessment was rated as either “world-leading” or “internationally excellent”.
Our degrees are shaped by our research activity. The work our academics conduct informs the modules that we offer, allowing us to design modules that cover a wide range of topics – from stochastic financial modelling to astrophysical fluid dynamics.
All of our mathematics courses give you the opportunity to undertake a research project. The large size of our School and the diversity of the research we conduct allow us to offer a wide range of project topic choices. Our MMath, BSc courses allow you to complete an extended investigation of an advanced topic in your fourth year.
Year 4 research projects
Throughout your course you’ll have the opportunity to study many exciting topics. Our MMath, BSc courses give you the opportunity to explore a topic that particularly interests you through an independent research project.
You can propose a topic that you would like to base your project on or choose a topic that has been suggested by the School. Past suggested project topics include:
Temporal dynamics of species-rich ecosystems
Tidal heating of extrasolar planets
Modelling waves in the atmosphere and ocean
Branching processes and mathematical medicine
Self-avoiding random walks on a lattice
Nonlinear dynamics of patterns
The mathematics of musical tuning
Combinatorial group theory
Complex and hypercomplex numbers
Surreal numbers and/or games
The size of the real line
Using random walks in exchange rate modelling
Simulating evolutionary systems
Minority Game as an adaptive model of interacting agents in financial markets
Predicting the 3D structure of genomes using DNA contact matrices
A data analysis on the American 2000 Election
Gaussian process emulation of complex computer models
Statistical pattern recognition