Mobile menu icon
Skip to navigation | Skip to main content | Skip to footer
Mobile menu icon Search iconSearch
Search type

Department of Mathematics

A mathematical equation

Numerical analysis and scientific computing

Page content:

Our researchers develop and analyse algorithms that compute numerical approximations and apply them to real-world problems.

Numerical analysis is the branch of rigorous mathematics that concerns the development and analysis of methods to compute numerical approximations to the solutions of mathematical problems. It is a broadly based discipline that sits at the interface between mathematical analysis and scientific computing.

Scientific computing describes the use of numerical simulation to study natural phenomena, complementing the more traditional experimental and theoretical approaches. Another broad discipline, it spans all the sciences with strong links to numerical analysis, computer science and software engineering.

Our work covers the breadth of these disciplines from fundamental theory and algorithm development through to implementation in open source software. Our researchers have expertise in the following areas.

Areas of expertise

Research seminars

Research seminars on topics associated with numerical analysis and scientific computing take place regularly in the following series:

PhD research opportunities

We welcome applications for PhD study in all areas of mathematics in the life sciences. PhD enquiries related to this theme can be directed to Sean Holman.

To discover the PhD opportunities available in the Department of Mathematics, explore our Postgraduate research in mathematics.