ACF5320 · Business analytics

Overview

This unit will prepare you for the rapidly evolving work environment by exploring business and accounting analytics. You will engage with analytical techniques including prescriptive, predictive, descriptive, and visual analytics. Using hands-on techniques, you will learn to process big data, including data location, extraction, cleansing, integration, modelling, and visualisation. You will employ these techniques to discover relevant patterns and gain insights for decision making. Business applications to accounting, finance, audit and management decision-making will be explored. The unit utilises Microsoft Excel and data mining and visualisation packages.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. appraise the different roles of analytics in organisations
2. apply appropriate analytical techniques to business problems in the accounting, finance and audit contexts
3. evaluate available data and determine how data from various sources and formats can be useful for accounting and business decision making purposes
4. develop skills for collecting, extracting, cleansing, integrating, and modelling data to facilitate analytics
5. discuss potential risks and ethical issues associated with data collection and use.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.