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Management Science track

This track is based in the Management Science Group| within the Department.

Track structure

Year one

Training: Compulsory examined courses

Combination of courses to the total value of 1.5 units from the following:

Students may also choose optional courses that are relevant and at an appropriate level, with the approval of the Programme Director, from:

Transferable skills: Optional non-examined courses

  • Attendance and participation at Research Seminars held across the Department, details to be made available to student by email and on website.
Year two

Transferable skills: Optional non-examined courses

  • Attendance and participation at Research Seminars held across the Department
Year three

Transferable skills: Optional non-examined courses

  • Attendance and participation at Research Seminars held across the Department
Year four

Transferable skills: Optional non-examined courses

  • Attendance and participation at Research Seminars held across the Department

Current thesis working titles

The following is a list of provisional thesis working titles by current PhD students on this track:

  • Rethinking Risk: the impact of action on uncertainty
  • Priority setting in the British NHS
  • On constructing, structuring and use of objectives in managerial decision making
  • Topological Design of Artificial Neural Network for Financial Assets Forecasting
  • Shortest path Cost games
  • Convex Cones and Multicriteria Sorting, Optimization and Inequality Measurement
  • Portfolio Optimization
  • Eleven Methods for Proving Infeasibility of 01 Integer Programmes
  • Effectiveness Measurement of Decision Analysis and Nudges
  • Extending the combined use of Scenarios and MCDA for evaluating and improving the robustness of strategic options
  • The Best of CBA and MCDA for Public Investment Appraisal - A Theoretical and Empirical Analysis of Cost-Benefit Analysis (CBA) and Multi Criteria Decision Analysis (MCDA) for the Prioritisation of Public Policy Investments
  • Modelling Dynamic Preferences of Malicious Agents to help manage risks of Violence Outbreaks
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