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Unit of Study

Advanced Analytics
UoS Code QBUS3830
Credit points 6
Offered Semester 1
Prerequisites QBUS2810
Assumed Knowledge
Additional Information
Lectures 1 x 2hr lecture and 1 x 1hr tutorial per week
Assessment project (20%), weekly online problems (10%), basic skills (5%), mid-term exam (25%), final exam (40%)
Description 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.