We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Department of Mathematical Sciences

Research Profile

The Department submitted six impact case studies to REF2014.

  • Dr Peter Craig, Professor Michael Goldstein and Professor David Wooff are winners of the Durham University’s Award for Excellence in Research Impact in 2014.
  • Professor David Wooff lead a team of PhD statisticians in developing the “forecaster’s predictive analytics engine”, which shows retailers where and how to spend online advertising budgets to deliver the greatest profit. Read more in the Retail Times.

Research Groups

Research in the Department of Mathematical Sciences is organised into a number of groups interacting with each other and other departments. A brief description of the groups and their research interests is given below. Each group maintains its own web pages, and much more detailed information about research, postgraduate studies and seminars can be found there.

The Pure Mathematics Group: the areas of research of the pure mathematics group include global analysis, arithmetic, differential and hyperbolic geometry, number theory, representation theory, topology and interactions of these areas with dynamics, physics, engineering and computer science (robotics).

The Numerical Analysis Group: The group has a wide range of interests in the numerical and mathematical analysis of partial differential equations. Its research areas in numerical analysis include finite element, multigrid and spectral methods.

The Mathematical and Theoretical Particle Physics Group: our research activities fall into the broad categories of quantum field theory, string theory and gravity, cosmology and solitons in field theory. The group's interests are complementary to those of particle physicists belonging to the Institute for Particle Physics Phenomenology, and together we form the Centre for Particle Theory.

The Statistics and Probability Group: the interests of the group cover a wide range of topics associated with statistics and probability. In particular, topics studied include Bayes linear methods, applied Statistics, analysis of designed experiments, probability, percolation and geometric probability and quasi-stationarity.

The Biomathematics Group: this is a newly formed group within the Department, whose members are in close scientific contact and collaboration with researchers belonging to the recently created Biophysical Sciences Institute. The group's research focuses on mathematical modelling of biological structures and processes.

The Statistics and Mathematics Consultancy Unit: the Statistics & Mathematics Consultancy Unit offers statistical and mathematical advice and analysis for all kinds of industrial, commercial, academic and institutional clients. They also provide various short courses in statistical thinking and practice, tailored according to companyrequirements and the abilities of the personnel to be trained.