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Unit of study_
FMBA5008: Data Analytics and Modelling
2024 unit information
This unit aims to develop the ability to effectively analyse and draw useful inferences from data in order to communicate complex interrelationships to senior management in a way that can lead to favourable and sustainable change. Topics covered include analysis of key macroeconomic variables and statistical concepts, demand modelling, performance measurement and benchmarking analysis, and quantifying the economics and financial risks. This unit provides students with an opportunity to work with real-world data sets and case studies, and to apply those data sets to various organisations
Unit details and rules
Managing faculty or University school:
Management Education
| Code | FMBA5008 |
|---|---|
| Academic unit | Management Education |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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SMBA6003 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. demonstrate and identify; 1. The data a business needs to solve complex problems; 2. The key drivers of the demand for a business' product; 3. Whether profitability increases in response to an increase in price or output, and how this relates to the price elasticity of demand; 4. The key interrelationships between external and internal variables that are pivotal to understanding the business' risk, and the management of those risks
- LO2. quantify the impact of critical drivers that are external to the company, such as GDP, exchange rates, commodity prices, and inflation, on revenue and cost streams, and use this information for risk management purposes by utilising key statistical tools such as descriptive statistics, regression, and simulation analysis
- LO3. communicate complex ideas more effectively to senior management, determine the communication styles that senior management prefer, draw more effective graphical relationships between variables, construct a more effective PowerPoint presentation, deliver a presentation that is more likely to be preferred by senior management, and construct the most effective sequence of material in a presentation to generate the maximum amount of positive impression from senior management
- LO4. collaborate more effectively with colleagues and peers to solve complex data-related problems.
Unit availability
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Modes of attendance (MoA)
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