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Unit of study_

QBUS6820: Prescriptive Analytics: From Data To Decision

2024 unit information

Prescriptive analytics is concerned with using quantitative tools to turn data into managerial and operational decisions, in both deterministic settings and under risk. This unit introduces mathematical optimisation modelling, with applications to problems in management, logistics, economics, science and engineering. Students will learn techniques for rigorously formulating complex decision-making problems as mathematical models, state-of-the-art computational tools to solve the models, how to incorporate measures of risk into models, and how to interpret outputs of models in the relevant decision-making context. It is expected that students have a good understanding of fundamental data analytics concepts such as vectors, matrices, probability, and the Python programming language.

Unit details and rules

Managing faculty or University school:

Business Analytics

Code QBUS6820
Academic unit Business Analytics
Credit points 6
Prerequisites:
? 
ECMT5001 or QBUS5001
Corequisites:
? 
BUSS6002
Prohibitions:
? 
None
Assumed knowledge:
? 
Vectors, matrices, probability, Python

At the completion of this unit, you should be able to:

  • LO1. select between prescriptive analytic models according to the business context
  • LO2. create prescriptive analytic models for decision-making
  • LO3. make decisions based on model outputs
  • LO4. use software tools to analyse and solve models

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 2 2020
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Camperdown/Darlington, Sydney
Semester 2 2021
Normal day Remote
Semester 2 2022
Normal day Camperdown/Darlington, Sydney
Semester 2 2022
Normal day Remote
Semester 1 2023
Normal day Camperdown/Darlington, Sydney
Semester 1 2023
Normal day Remote

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.