This unit will consolidate and enhance skills in accounting analytics. It will allow students to develop and apply more advancedaccounting analytics skills utilising and applying a business intelligence tool to perform data analysis and visualisation. It willincorporate more advanced aspects of analytics ensuring more extensive use of business intelligence tools and applicationtools (PowerBI) for applying predictive analytics in several industry contexts. It will also create opportunities for strategicapplication of prescriptive analytics in accounting operational areas including auditing, financial accounting and managerialaccounting. Students will have multiple opportunities to draw business insights from data sets to develop businessperformance enhancements and embed decision-making through process automation. The units will explore and reflect onpotential ethical issues in developing prescriptive analytics. Skills will be developed via a case study approach, based around avariety of business types, such as: services, banking and finance, eRetail, lean manufacturing and transport and logistics.Emphasis will be placed on the drivers of success in such business types when applying analytics and process automation.
Unit details and rules
Academic unit | Accounting |
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Credit points | 6 |
Prerequisites
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ACCT6001 and ACCT6008 and ACCT6019 |
Corequisites
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None |
Prohibitions
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None |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Stewart Jones, stewart.jones@sydney.edu.au |
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Lecturer(s) | Nurul Alam, nurul.alam@sydney.edu.au |
Stewart Jones, stewart.jones@sydney.edu.au |