Courses & Units

Data Analytics for Accounting BFA747


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.


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


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


International students
Domestic students

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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).

About Census Dates

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.

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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

AssessmentOnline exam (35%)|ASX100 company case study (30%)|Data analytics case study (35%)
TimetableView the lecture timetable | View the full unit timetable



Richardson, V. et al. (2021) Introduction to Data Analytics for Accounting, 1st Edition, McGraw Hill, ISBN 978-1-260-59083-8 


All other class materials and activities will be available to be printed from the unit MyLO site. 

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