Predictive Analytics

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

Duration

  • One Semester or equivalent

Contact hours

  • 24 hours face to face + Blended

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

2023 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
31 Jul 23 - 29 Oct 23

Results:
5 Dec 23

Last self enrolment:
13 Aug 23

Census:
31 Aug 23

Last withdraw without fail:
15 Sep 23


Prerequisites

Admission in any Master level Postgraduate Course from the School of Business, Law and Entrepreneurship
AND
INF70008 Business Analytics and Visualisation
OR
Admission in the Master of Information Technology (Professional Computing)
AND
INF60012 Cloud Enterprise Systems and Analytics
OR
Admission in the Master of Information Technology
AND
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.
 
Unit Learning Outcomes (ULO)
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
 
3. 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