Management scienceRisk & uncertainty

Our interest in risk relates to decision making under uncertainty. We're engaged in all aspects of the decision support process from problem structuring through data analysis and model building to recommendations. We work closely with industry, applying methods primarily from statistics, probability and decision analysis, to real world problems.

Our current work

Take a look at some of our most recent research projects:

PhD opportunities

Academic staff active in this area may be available to supervise PhDs on the following topics.

Professor Alec Morton

Alec has a broad interest in risk analysis. He's worked on the use of multi-criteria tools to capture the multidimensionality of risk in the nuclear sector, and on game theoretic modelling of the problem of scheduling counterterrorist patrols. His current interests include innovative ways to use risk matrices and evaluation of medical diagnostic technologies.

Professor John Quigley

John's interested in statistical and applied probability modelling for support decision making under uncertainty. He enjoys working in both Bayesian and Empirical Bayes methods, and development methods for elicitation as well as data analytics.

Dr Matthew Revie

  • reliability
  • availability and maintainability modelling with particular interest in big data and reliability
  • prognostics
  • condition monitoring, and modelling the economic impact of sensor systems
  • expert judgement
  • statistical analysis and machine learning
  • forecasting
  • visualisation of big data

Professor Tim Bedford

Tim’s interested in decision and risk analysis. He has a keen interest in Bayesian methods and elicitation of expert judgement as well as probability and consequence modelling.

Professor Susan Howick

Susan’s research interests are in:

  • system dynamics modelling
  • the integration of management science modelling methods
  • disruption and delay analysis on complex projects
  • systemic risk analysis

Professor Lesley Walls

Lesley's interested in reliability and risk analysis. She has a keen interest in statistics and expert judgement.

Find out more about how to apply for a PhD in Management Science.