Modelling and Operations Research

Stochastic Modelling and Operations Research involves using mathematics to understand and make decisions in systems that involve randomness and/or uncertainty.

curved blue and green lines intersecting and covered in dots

This network shows a snapshot of conversations on social media prior to a major public event. Nodes represent individuals and links represent mentions on Twitter. Studying the network topology enables us to identify different classes of users (organisers versus  advertisers), and through investigating the timing and content of messages we can make inferences about information flow over the social network.

Based within the School of Mathematical Sciences, our Stochastic Modelling and Operations Research group fuses theory, computation and data to address exciting and important problems throughout the sciences and industry.

We have particular strengths in:

  • modelling stochastic systems, particularly using computational techniques
  • calibrating stochastic models
  • modelling networks and their processes, with applications in energy and the Internet
  • modelling in ecology, epidemiology and evolution
  • Bayesian computational statistics
  • data science.

Higher Degrees by Research

Whether you intend to work in research or industry, a higher degree by research can give you a competitive edge throughout your career. Find out more about studying a Master of Philosophy or Doctor of Philosophy.

Higher Degrees by Research