MIS272 - Predictive Analytics
| Year: | 2023 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Cloud (online) |
| Credit point(s): | 1 |
| Previously coded as: | MIS372 |
| EFTSL value: | 0.125 |
| Prerequisite: | MIS171 |
| Corequisite: | Nil |
| Incompatible with: | MIS372, MIS772 |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities - campus | 11 x 2 hour class, 11 x 1 hour seminar |
| Scheduled learning activities - cloud (online) | 11 x 2 hour class (recordings provided) + 11 x 1 hour seminar |
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 in real business scenarios. Students will be given the opportunity to gain hands-on experience with most widely used predictive analytics software tools globally.
Hurdle requirement
Hurdle requirement: Achieve at least 50% of the marks available on the examination to evidence a minimum proficiency in the aligned discipline learning outcomes included in this unit.
Unit Fee Information
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