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Unit of Study

Predictive Analytics
UoS Code QBUS2820
Credit points 6
Offered Semester 2
Prerequisites QBUS2810 or ECMT2110
Assumed Knowledge
Additional Information
Lectures 1x 2hr lecture and 1x 1hr tutorial per week
Assessment assignment 1 (20%), assignment 2 (30%), mid-term exam (20%), final exam (30%)
Description Predictive analytics are a set of tools to enable managers to exploit the patterns found in transactional and historical data. For example major retailers will invest in predictive analytics to understand, not just consumers\\\' decisions and preferences, but also their personal habits, so as to more efficiently market to them. This unit introduces different techniques of data analysis and modelling that can be applied to traditional and non-traditional problems in a wide range of areas including stock forecasting, fund analysis, asset allocation, equity and fixed income option pricing, consumer products, as well as consumer behaviour modelling (credit, fraud, marketing). The forecasting techniques covered in this unit are useful for preparing individual business forecasts and long-range plans. The unit has a practical approach with many up-to-date datasets used for demonstration in class and in the assignments.