Courses & Units
Data Analytics for Accounting BFA747
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 | College of Business & Economics Tasmanian School of Business and Economics |
| Discipline | Accounting and Accountability |
| Coordinator | Doctor Glenn Finau |
| Delivered By | University of Tasmania |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 | On-Campus | Off-Campus | International International | Domestic Domestic |
| Launceston | Semester 2 | On-Campus | International | Domestic | |
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 | 11/7/2022 | 9/8/2022 | 29/8/2022 | 16/10/2022 |
* 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 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. 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
- Hypothesize solutions using business data analysis for contemporary business challenges
| 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 | $1,828.00 | $1,432.00 | not applicable | $2,702.00 |
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 UConnect 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 | 4 x 3 hour workshops (in addition a 1-hour orientation workshop will be held in week 1) Weekly online pre-recorded lectures |
|---|---|
| Assessment | Online exam (35%)|ASX100 company case study (30%)|Data analytics case study (35%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Richardson, V. et al. (2021) Introduction to Data Analytics for Accounting, 1st Edition, McGraw Hill, ISBN 978-1-260-59083-8 |
|---|---|
| Recommended | All other class materials and activities will be available to be printed from the unit MyLO site. | Links | Booktopia textbook finder |
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.