Return to previous page

MIS772 - Predictive Analytics

Unit details

Year

2016 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

Prerequisite:

MIS770 for M722,M761, M661 and M755 students ONLY

Corequisite:Nil
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

Content

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 the most widely used predictive analytics software tools globally.

Assessment

Assignment 1 (module 1) 33.3%, assignment 2 (module 2) 33.3%, assignment 3 (module 3) 33.3%

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

Return to previous page