Predictive Analytics

INF80040 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students


  • One Semester or equivalent

Contact hours

  • 36 Hours

On-campus unit delivery combines face-to-face and digital learning.

2022 teaching periods


Higher Ed. Semester 2

1 Aug 22 - 30 Oct 22

6 Dec 22

Last self enrolment:
14 Aug 22

31 Aug 22

Last withdraw without fail:
16 Sep 22


Enrolment in MBIS or Business Analytics Specialisation
INF70008 Business Analytics and Visualisation
Enrolment in MITPC
INF60012 Cloud Enterprise Systems and Analytics
Enrolment in MIT
INF60007 Business Information Systems

Aims and objectives

This unit aims to develop and enhance students’ conceptual and practical understanding of Predictive Analytics as an advanced topic in business analytics. Using an appropriate predictive model on select datasets, an organisation would be able to identify the likelihood of future outcomes based on historical and current data. The business foresight based on this analytics is instrumental in strategic decision making processes of the organisation. Students will have an opportunity to immerse themselves in problem-solving activities requiring lateral and critical thinking by exploring structured and unstructured data, considering and applying the appropriate Predictive Analytics techniques.
Students who successfully complete this unit, will be able to:
1 Demonstrate the ability to systematically identify and review strategic opportunities through the application of Predictive Analytics on organisational datasets
2 Apply problem solving and decision-making techniques in order to evaluate the requirements for information and data/datasets enabling an effective use of Predictive Analytics tools and techniques
Critically analyse appropriate datasets using Predictive Analytics tools and techniques to generate business foresights
4 Communicate effectively as a professional and function as an effective leader or member of a team