Introduction
In today’s data economy, businesses are blessed and cursed with an abundance of data. This proliferation of data is creating new professions and changing existing professions. One profession that is witnessing a rapid change due to the explosion of data is accounting. While there exists a plethora of data available to businesses, accounting data remains a source of data that is reliable, relevant and accessible for all organisations. This unit will introduce students to the very recent changes ushered in by the big data revolution to the accounting profession, introduce students to how data analytics is being applied to accounting data, develop their skills in analysing and presenting accounting data to management and also develop their abilities to critically evaluate the underlying accounting systems and processes related to both the collection, creation, processing and production of accounting data within organisations.
Summary
| Unit name | Data Analytics for Accounting |
| Unit code | BEA213 |
| Credit points | 12.5 |
| College/School | Tasmanian School of Business and Economics |
| Discipline | Accounting |
| Coordinator | Associate Professor Rakesh Pandey |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania and Third Party(ies): ECA |
| Level | Intermediate |
Sustainable Development Goals
The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.
Availability
Specific information on 2027 unit availability will be available in August
Learning Outcomes
- Apply data analytics to accounting data to solve business problems.
- Critically evaluate data analytics inputs, processes and outputs.
- Create compelling stories based on data analytics using data visualization tools.
Fee Information
2027 fee information will be available in August.
Teaching
| Teaching Pattern | Pre-recorded Blended Lecture (online), Up to 1.5 hours (3-5 short lectures of maximum 20 minutes each), Weekly on-campus and online workshops, duration 2 hours weekly |
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| Assessment | Business Analytics Plan (25%)|Full Analytics Report for Decision Support (35%)|Data Storytelling and Strategic Insights Presentation (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
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