QBUS3310: Advanced Management Science
University of Sydney• 2026 S1
Planned
Optimisation
Management Science
Decision Analysis
Develops optimisation, decision analysis, stochastic modelling, and management science techniques for practical managerial decision-making.
Learning Outcomes
- Mathematical models: Demonstrate a clear understanding of different mathematical and statistical models and methods that support decision-making for management.
- Creative modelling: Apply creative thinking to distil key relationships from complex interactions between cost variables.
- Operational constraints: Recognise different cost components and operational constraints in modelling business problems.
- Method selection: Critically appraise the suitability of different analytic methods for a specific business purpose.
- Business application: Apply business analytic methods to real-life problems and adapt models to specific business contexts.
- Communication: Communicate analytical findings using appropriate optimisation methods and both technical and layman’s language.
Takeaways
Coming soon.