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Unit of study_
QBUS3830: Advanced Analytics
2024 unit information
This unit is designed to equip students with advanced tools for estimation and testing in relevant business statistical models. In particular, the unit covers maximum likelihood, Bayesian estimation and inference, and hypothesis testing. The unit acknowledges the importance of learning computing skills as helpful for job applications and special emphasis is made throughout the unit to learn numerical methods such as Monte Carlo simulations and Bootstrapping. Special topics in advanced statistical modelling, such as nonlinear estimators and time series regression, are also covered. The materials taught are essential as preparation for honours in Quantitative Business Analysis.
Unit details and rules
Managing faculty or University school:
Business Analytics
| Code | QBUS3830 |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
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Prerequisites:
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QBUS2810 or DATA2002 or DATA2902 or ECMT2110 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. demonstrate the understanding of the underlying theory for advanced analysis of data arising in business contexts
- LO2. choose with success the most appropriate and relevant statistical tools for solving the business analytic problem of interest
- LO3. identify with accuracy and communicate the positives as well as the limitations of a range of analytical methods
- LO4. demonstrate an ability to extract relevant information from large volumes of business-related data available online
- LO5. demonstrate a high level of competence in statistical literacy and communicating the results of your analyses
- LO6. demonstrate proficiency in the use of at least one statistical software package: Matlab, R or Python.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 2 2024
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
