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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
- Timetable (login required)(opens in new window)
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
Eligibility and requirements
Prerequisites
Pre-requisite
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90541 | Predictive Business Analytics | May (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
In-class quizzes
| During the teaching period | 20% |
Syndicate assignment
| Late in the teaching period | 30% |
Final Examination
| End of the teaching period | 50% |
Last updated: 31 January 2024
Dates & times
- October
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 7 October 2024 to 29 November 2024 Last self-enrol date 17 October 2024 Census date 25 October 2024 Last date to withdraw without fail 15 November 2024 Assessment period ends 6 December 2024
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024