Advanced Analytics (QBUS3830)

UNIT OF STUDY

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.

Further unit of study information

Classes

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

Assessment

Group assignment 1 (15%), mid-semester test (20%), group assignment 2 (15%), and final exam (50%)

Faculty/department permission required?

No

Unit of study rules

Prerequisites and assumed knowledge

QBUS2810

Study this unit outside a degree

Non-award/non-degree study

If you wish to undertake one or more units of study (subjects) for your own interest but not towards a degree, you may enrol in single units as a non-award student.

Cross-institutional study

If you are from another Australian tertiary institution you may be permitted to underake cross-institutional study in one or more units of study at the University of Sydney.