• Offered by Research School of Accounting
  • ANU College ANU College of Business and Economics
  • Course subject Business
  • Areas of interest Accounting
  • Academic career UGRD
  • Course convener
    • Dr Madhukar Singh
  • Mode of delivery In Person
  • Offered in Second Semester 2026
    See Future Offerings
  • Graduate Attributes
    • Critical Thinking

Accounting data analytics develops new insights and enhances understanding of company performance by systematically examining financial, non-financial, and externally sourced firm-related data. This course equips students with the skills to apply data analytics techniques to complex accounting problems. Students will engage with a range of methods and applications across financial accounting, management accounting, auditing, and taxation. Building on the foundational concepts introduced in BUSN2037, the course advances to explore diverse data sources and the use of predictive and prescriptive analytics to generate insights across key accounting domains.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Identify and evaluate diverse data sources, and apply appropriate tools and techniques for accounting analytics.
  2. Apply predictive and prescriptive analytics methods to financial accounting, management accounting, auditing, and taxation related problems.
  3. Analyse accounting case studies to gain an understanding of the opportunities and challenges brought by large financial and non-financial data set.
  4. Demonstrate knowledge of contemporary accounting analytics and their relevance to professional practice.
  5. Interpret and effectively communicate analytical findings, in both verbal and writtens forms, to both specialist and non-specialist audiences.

Indicative Assessment

  1. Typical assessment may include, but not restricted to class presentation, assignment(s), quizzes and examination(s). (100) [LO 1,2,3,4,5]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students taking this course are expected to commit at least 10 hours a week to completing the work. This will include 3 hours per week in class and at least 7 hours a week on average on course reading, writing and assignment work.

Inherent Requirements

None

Requisite and Incompatibility

To enrol in this course, you must have completed BUSN2037 Fundamentals of Accounting Data Analytics.

Prescribed Texts

Information about the prescribed textbook (if any) will be made available via the Class Summary.

Fees

Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
34
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Domestic fee paying students
Year Fee
2026 $5520
International fee paying students
Year Fee
2026 $7020
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7436 27 Jul 2026 03 Aug 2026 31 Aug 2026 30 Oct 2026 In Person N/A

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