Data Mining and Data Analysis (QBUS3820)


The advances in information technology have made available very rich information data sets, often generated automatically as a by-product of the main institutional activity of a firm or business unit. Data Mining deals with inferring and validating patterns, structures and relationships in data, as a tool to support decisions in the business environment. The course offers an insight into the main statistical methodologies for the visualisation and the analysis of business and market data, providing the information requirements for specific tasks such as credit scoring, prediction and classification, market segmentation and product positioning. Emphasis will be given to empirical applications using modern software tools.

Our courses that offer this unit of study

Further unit of study information


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


individual assignment 1 (10%), individual assignment 2 (10%), weekly online problems (10%), basic skills assessment (5%), mid-semester exam (25%), final exam (40%)

Faculty/department permission required?


Unit of study rules


ECMT2110 or 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.