Our strengths

Pure Mathematics

Pure mathematicians deal with the ideal, the beauty of perfection. They imagine the unimaginable. And magically, such constructions become the basis for applied mathematics to solve the most concrete problems.

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Applied Mathematics

Applied and computational mathematics seeks to find solutions to significant problems that arise in the real world: from modelling traffic flow, to unravelling the complex genetic circuits that regulate diseases. Applied mathematicians use a toolkit comprising techniques for modelling, analysis, algorithm development, and simulation for problems arising throughout the science and engineering disciplines.

Statistics

Statistics is the science for learning from data. Statisticians employ sophisticated mathematical and numerical methods to seek out the truth in the data, and assist researchers and< businesses to make informed decisions in the face of uncertainty.

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Astrophysics

Planets, stars, black holes, galaxies, and beyond ... all the stuff of Astrophysics. How are they formed, and how do they evolve? What do they tell us about our past, and our future? Observation and modelling form the twin pillars of astronomical research, and mathematics is the tool and the language we use to understand and to probe our data and to build our models.

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Mathematical Modelling

Modelling and simulation of physical systems using mathematical techniques find wide-ranging applications in areas such as tectonics and continental deformation, or the dynamics of landslides or breaking icebergs. High performance computing is frequently used to run these models, simulating the long time scales of such processes within seconds.

Atmospheric Science

Will it rain on the weekend? Can we forecast the next El Nino? Is the climate changing? Our research in atmospheric science seeks to answer questions like these, and underscores the relevance of science to society. Atmospheric science is a modern interdisciplinary subject, drawing heavily on applied mathematics, fluid dynamics, physics, chemistry and computer science, and our research and graduate training programs are an exciting blend of field experiments, theoretical analysis, numerical modelling and data analysis.

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Financial Mathematics

While economists seek to develop the theory of financial markets, mathematicians derive or extend the mathematical or numerical models suggested by economic theory. Many mathematics graduates are employed in the financial services sector in quantitative analysis groups.

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Mathematical Biology

Mathematical biology focuses on developing a mathematical representation and modelling of biological processes, using a variety of applied mathematics and statistical techniques and tools. Mathematical models can be used to explain microarray lab results, and then used to make predictions about biological processes. Mathematical biology has both theoretical and practical applications in biological, biomedical and biotechnology research.

Operations Research

In many complex decision making environments we need to find the best solution given some constraints. Operations research is a branch of applied mathematics and statistics that gives us the tools to quickly find the best solution to important problems like train scheduling, hospital resource management, supply chain management, and optimal pricing of goods and services.

Industrial Mathematics

Many problems in industry require mathematical solution – from understanding phenomena via mathematical models, improving performance by fine-tuning the parameters of the model, and developing simulation models to visually explore the problem and a range of solutions. Industrial mathematics is problem-driven, with applications in numerous sectors including manufacturing, retail, telecommunications, defence, energy, health, finance, and transportation and logistics.