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MIS372 - Predictive Analytics

Unit details


2016 unit information

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

D Alahakoon


Any 3 of the following units: MIS203, MIS202, MIS201, MIS271, MIS384, MIS379.



Incompatible with:


Contact hours:

Campus: 1 x 2 hour class, 1 x 1 hour seminar 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 in real business scenarios. Students will be given the opportunity to gain hands-on experience with most widely used predictive analytics software tools globally.


Assessment 1 (individual) - Written report (1500 words) - 20%

Assessment 2 (Group of 2 - 3 students) - 40%

Examination (2 hours) - closed book - 40%

Unit Fee Information

All Commonwealth Supported Place (CSP), fee paying undergraduate and pre-2016 commencing students

Unit fee information available soon

2016 commencing International and full fee paying postgraduate domestic students

Your units are priced based on the course you are enrolled in. Please refer to the current year's course entry to estimate the unit cost.

You can calculate the cost of each unit by using the following calculation:

Course fee x unit EFTSL value = unit price

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