Overview

This micro-unit focuses on business analytics and equipping students with the relevant data analytics skills required to solve the complex data problems of modern businesses. Students will have the opportunity to learn about evidence based decision-making, online analytical processing, big data and various tools and techniques to perform descriptive, predictive and prescriptive analytics and their application in various domains.

Requisites

Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date

Learning outcomes

Students who successfully complete this unit will be able to:

  • Critically evaluate the concepts of descriptive, predictive and prescriptive analytics and their application in various organisational contexts.
  • Select/recommend appropriate data analytics tools and techniques to implement a business analytics strategy.

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Face to Face Contact (Phasing out)
Class		8.00 1 week 8
Online
Directed Online Learning and Independent Learning		2.00 2 weeks 4
Unspecified Learning Activities (Phasing out)
Independent Learning		7.00 4 weeks 28
TOTAL40

Assessment

Type Task Weighting ULO's
AssignmentIndividual 0% 1,2 

Content

  • Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, and various other advances in business analytics.
  • Use of and value of analytics in Business divisions, management functions, different management levels, performance management
  • Privacy, ethical and legal issues related to business analytics  

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.