This programme aims to train future managers and researchers from a diversity of backgrounds with an academically challenging exposure to state-of-the-art mathematical methods of supply chain and logistics management. The range of subjects reflect the expertise and areas of research of the academic staff, and covers (but is not limited to) operations management, optimisation, simulation, risk management, and data mining methods. The programme provides an excellent basis for those people who wish to have careers in knowledge and information systems management or carry out research in the discipline. It is particularly suitable both for recent graduates in strongly technical disciplines and for recent graduates in general management fields.
Computational Methods for Logistics; Integrated Logistics; Optimisation and Decision Modelling; Principles of Supply Chain Management; Purchasing and Supply Management; Quantitative Methods
Optional modules: Credit Scoring and Data Mining; Forecasting; Game Theory for Business; Management of Corporate Security; Problem Structuring; Risk-taking and Decision-making; Project Risk Management; Simulation; Visual Basic for Applications