2027 Unit information is now available. View 2027 unit information
Melbourne Study Centre, Hobart, Online
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 organizations. 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 analyzing 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 organizations.
Summary
| Unit name | Data Analytics for Accounting |
| Unit code | BFA747 |
| Credit points | 12.5 |
| College/School | Tasmanian School of Business and Economics |
| Discipline | Accounting |
| Coordinator | Doctor Alia Alshamari |
| Delivered By | University of Tasmania and Third Party(ies): ECA |
| Level | Postgraduate |
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
| Location | Study period | Attendance options | Available to | ||
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| Melbourne Study Centre | Semester 1 |
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| Hobart | Semester 1 |
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| Hobart | Semester 2 |
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| Online | Semester 1 |
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| Online | Semester 2 |
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- Key:
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 5/7/2026 | 27/7/2026 | 30/8/2026 | 24/10/2026 |
| Semester 1 | 22/2/2026 | 16/3/2026 | 19/4/2026 | 13/6/2026 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2026 are indicative and subject to change. Finalised census dates for 2026 will be available from the 1st October 2025. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Differentiate data analytics techniques used to address contemporary business challenges
- Compose compelling data-driven stories to provide business advice to a client
- Hypothesise solutions using business data analysis for contemporary business challenges
Fee Information
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 080101 | $2,174.00 | $1,703.00 | not applicable | $3,284.00 |
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
N/ATeaching
| Teaching Pattern | 12 x 1-hour workshops Weekly online pre-recorded lectures |
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| Assessment | Business Analytics Proposal (25%)|Comprehensive Data Analytics Report for Strategic Decision-Making (35%)|Strategic Insights Dashboard and Executive Presentation (40%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Richardson, V. et al. (2023) Introduction to Data Analytics for Accounting, 2nd Edition, McGraw Hill. |
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| Recommended | All other class materials and activities will be available to be printed from the unit MyLO site. |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.