MSc (by Dissertation) Operational Research

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Our MSD Operational Research gives you the opportunity to explore areas where optimisation and mathematical modelling are important. These include logistics, revenue management, networks and stochastic control; areas of great practical interest and use in the public and private sectors. Our projects often have an experimental aspect which is underpinned by forefront mathematical and computational research in these areas.

Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals such as; International Journal of Mathematics in Operational Research, Transportation Science, Journal of the Operational Research Society, Mathematical Problems in Engineering, and European Journal of Operational Research.

Our Department of Mathematical Sciences is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

  • Our data scientists carefully consider how not to lie, and how not to get lied to with data. Interpreting data correctly is especially important because much of our data science research is applied directly or indirectly to social policies, including health, care and education.
  • We do practical research with financial data (for example, assessing the risk of collapse of the UK’s banking system) as well as theoretical research in financial instruments such as insurance policies or asset portfolios.
  • We also research how physical processes develop in time and space. Applications of this range from modelling epilepsy to modelling electronic cables.
  • Our optimisation experts work out how to do the same job with less resource, or how to do more with the same resource.
  • Our pure maths group are currently working on two new funded projects entitled “The Calabi problem for smooth Fano threefolds” and “Stability of Brunn-Minkowski inequalities and Minkowski type problems for nonlinear capacity”.
  • We also do research into mathematical education and use exciting technologies such as electroencephalography or eye tracking to measure exactly what a learner is feeling. Our research aims to encourage the implementation of ‘the four Cs’ of modern education, which are critical thinking, communication, collaboration, and creativity.

We also offer an MPhil and a PhD in this subject, and part-time research study is also available.

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Use our magical AI system, to check your admission chances for this course.
Tuition fee
Apply by
Start date
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
1 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs