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Risk Analytics (BUSA90546)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
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Contact information
Overview
| Availability | October |
|---|---|
| Fees | Look up fees |
Data analytics have become an invaluable part of managing institutions, not only for profitability but also for safeguarding the organization against risk. In this component, students will study the data-based analytical models and methods used to manage risk in contemporary business. Topics include the modelling and computation of market risk, portfolio management, measuring credit risk and understanding operational risk. The focus of the component will be on both the theoretical development and the practical implementation using contemporary data in important scenarios.
Intended learning outcomes
On completion of this subject, students should be able to:
- Apply data analytics skills to the context of measuring and managing risk both in financial and organizational contexts.
- Understand the key challenges and appreciate the uncertainty that is inherent in risk management.
- Possess literacy in the technical aspects of contemporary risk analytics.
Last updated: 31 January 2024