The advent of information systems has resulted in businesses and governments processing and storing massive volumes of data. Organisations realise the potential insight this data can provide and are applying intelligent methods to process the large information repositories (Big data) to support effective decision making. This unit will provide students with the knowledge and skills to utilise predictive analytics and data mining processes and technologies to gain greater insights into various business scenarios. Students will gain an overview of foundational tools and techniques, supported by industry case studies and hands-on exercises. Students will learn how data mining and predictive analytics can facilitate business intelligence and build analytical capabilities in organisations.
Unit details
Location:
Study level:
Postgraduate
Credit points:
12
Unit code:
BCO6008
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Learning Outcomes
| 1. | Contextualise the art and science of predictive analytics to define clear actions that result in improved decisions and business results for contemporary organisations as they operated in the dynamic communities, both locally and globally; | ||
| 2. | Justify the selection, preparation, construction, integration, structure, and formatting of data as effective to ensure predictive models meet the business goals; | ||
| 3. | Appraise appropriate goals for a predictive analytics implementation in organisations and authenticate recommendations with reference to a specified organisation's strategic priorities and mission and values statements and anticipated changing environment; | ||
| 4. | Critically review the use and assist in the selection of industry standard analytics tools; | ||
| 5. | Investigate the application of sources of information including social data, unstructured text and Big Data sets to provide greater insight to business; and | ||
| 6. | Clearly communicate conclusions to inter-disciplinary audiences demonstrating a high level of personal autonomy and accountability in achieving group outcomes. |
Assessment
| Assessment type | Description | Grade |
|---|---|---|
| Test | Multiple Choice Tests | 25% |
| Assignment | Practical Business Case Exercise | 35% |
| Essay | Research Writing Assignment | 40% |
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