MIS772 - Predictive Analytics
2016 unit information
|Enrolment modes:||Trimester 1: Burwood (Melbourne), Cloud (online)|
Trimester 2: Burwood (Melbourne), Cloud (online)
Campus: 1 x 2 hour class, 1 x 1 hour computer lab per week
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.
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
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