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Unit of study_

Advanced Analytics - QBUS3830

Year - 2020

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.

1 x 2hr lecture and 1 x 1hr tutorial per week

project (20%), weekly online problems (10%), basic skills (5%), mid-term exam (25%), final exam (40%)


QBUS2810 or DATA2002 or ECMT2110


Faculty: Business (Business School)

Semester 2

03 Aug 2020

Department/School: Business Analytics
Study Mode: Normal (lecture/lab/tutorial) day
Census Date: 31 Aug 2020
Unit of study level: Senior
Credit points: 6.0
EFTSL: 0.125
Available for study abroad and exchange: Yes
Faculty/department permission required? No
Courses that offer this unit

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