MIS772 - Predictive Analytics

Unit details


2017 unit information

Enrolment modes:Trimester 1: Burwood (Melbourne), Cloud (online)
Trimester 2: Burwood (Melbourne), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit chair:

J Cybulski


MIS770 or MIS770A for M722,M761, M661 and M755 students ONLY

Incompatible with: Nil
Contact hours:

Campus: 1 x 2 hour class, 1 x 1 hour computer lab per week
Cloud(online): Learning resources are via CloudDeakin


The ‘information age’ has combined with the widespread adoption of digital technology to turn information into a key business asset.  Businesses and governments now have access to massive volumes of data and require skills and expertise in making sense of this information for strategic decision making. This unit will provide students with the knowledge and skills to build predictive models and use data mining tools with ‘Big Data’. Students will be given the opportunity to gain hands-on experience with one of the most widely used predictive analytics software tools globally.


Assessment 1 (Individual) – Predictive business modelling using statistical methods (2000 words) - 20%

Assessment 2 (Group of 3) – Predictive business modelling using machine learning methods (3000 words) - 30%

Examination (2 hours) - 50%

Hurdle requirement: achieve at least 50% of the marks available on the examination

Unit Fee Information

Unit fee information available soon