Handbook home
Predictive Business Analytics (BUSA90541)
Graduate courseworkPoints: 12.5On Campus (Parkville)
To learn more, visit 2023 Course and subject delivery.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | May September |
---|---|
Fees | Look up fees |
Predicting key business and economic variables is increasingly important, as it drives both objective decision-making and improved profitability. This component aims to cover the main methods used to predict business and economic variables, based on historical data. These include traditional regression, time series, multivariate and econometric models, as well as emerging methods such as ensemble forecasts. Both point and density prediction will be considered, along with metrics for the quality of both. Throughout, the focus will be on introducing methods in the context of substantive business and economic problems, using a wide range of prediction methods. The importance of benchmarking different methodologies, and the use of prediction in decision-making frameworks, will also be stressed.
Intended learning outcomes
On completion of this subject, students should be able to:
- Understand a wide range of models and methodologies relevant to predicting business outcomes.
- Apply appropriate modelling and forecasting techniques to business and economic contexts, and to critique and compare competing methodologies.
- Translate forecasting outputs to information and provide recommendations to address the relevant business problems.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Pre-requisite
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90536 | Statistical Learning for Business |
July (On Campus - Parkville)
March (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 |
---|---|---|
Individual assignment
| Week 3 | 20% |
Syndicate assignment
| Week 6 | 30% |
Final examination
| Week 9 | 50% |
Last updated: 31 January 2024
Dates & times
- May
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 29 May 2023 to 21 July 2023 Last self-enrol date 8 June 2023 Census date 16 June 2023 Last date to withdraw without fail 7 July 2023 Assessment period ends 28 July 2023 - September
Mode of delivery On Campus (Parkville) Contact hours 3 hours lecturing per week x 10 weeks Total time commitment 170 hours Pre teaching start date 18 September 2023 Pre teaching requirements students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period Teaching period 25 September 2023 to 1 December 2023 Last self-enrol date 19 September 2023 Census date 6 October 2023 Last date to withdraw without fail 10 November 2023 Assessment period ends 8 December 2023
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