• None.

• None.

• None.

• To provide students with an advanced understanding of and ability to use some of the methods commonly used in solving complex business problems of the type which may be formulated (at least in part) as quantitative models.

• Overview of systems concepts and model building.
• Further optimisation (building on core teaching).
• Simulation.
• Game theory
• Forecasting using time series and behavioural models.

Subject-specific Knowledge:

• By the end of this module, students should:
• Have an advanced knowledge of the structures and requirements of some models commonly used for optimisation, forecasting and other tasks within the business context.
• Be familiar with selected specialist software applications.

Subject-specific Skills:

• By the end of this module, students should:
• be able to formulate and solve complex business problems and then interpret the solutions to improve business performance;
• be able to use selected specialist software applications.

Key Skills:

• Effective written communication.
• Planning, organising and time management.
• Problem solving and analysis.
• Using initiative.
• Advanced computer literacy skills.

• Learning outcomes will be met through a combination of lectures, groupwork, case studies, practical (computing) classes and discussion, supported by guided reading. The summative assignment will test students' knowledge and understanding of business models and their ability to apply relevant techniques to the analysis of a business problem.

If you have a question about Durham's modular degree programmes, please visit our Help page. If you have a question about modular programmes that is not covered by the Help page, or a query about the on-line Postgraduate Module Handbook, please contact us.

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Current Students: Please contact your department.