Business Analytics and Visualisation

INF70008 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students


  • One Semester or equivalent

Contact hours

  • 24 hours face to face + blended

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

2024 teaching periods


Higher Ed. Semester 1

Higher Ed. Semester 2

26 Feb 24 - 26 May 24

2 Jul 24

Last self enrolment:
10 Mar 24

31 Mar 24

Last withdraw without fail:
12 Apr 24

29 Jul 24 - 27 Oct 24

3 Dec 24

Last self enrolment:
11 Aug 24

31 Aug 24

Last withdraw without fail:
13 Sep 24

Aims and objectives

This unit focuses on business analytics and visualisation, equipping students with the relevant data analytics and visualisation 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, data visualisations and various tools and techniques to perform descriptive, predictive and prescriptive analytics and their application in various domains.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1. Critically evaluate the concept of business analytics and visualisation and its application in various organisational contexts. 
2. Critically evaluate the concepts of descriptive, predictive and prescriptive analytics and apply the appropriate data analytics tools and techniques to implement business analytics strategy. 
3. Apply critical thinking and problem solving skills to resolve complex data problems. 
4. Research and evaluate the effect of big data, unstructured data, stream analysis and text analytics.
5. Demonstrate appropriate communications skills in group work as well as written and oral presentations.