Accounting analytics develops new insights and understanding of financial and non-financial performance by continuous iterative examination of large data sets pertaining to past financial and non-financial information and events. This course aims to equip students with skills to analyse accounting data to address accounting-related problems. Students are expected to obtain an understanding of different types of data analytics methods, and how to apply these methods to analyse accounting-related problems.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon successful completion of this course, students will have the knowledge and skills to:• Identify and synthesise useful sources of financial and non-financial data that help accountants’ decision-making.
• demonstrate the cognitive skills to master the major concepts, and use current applications, of typical accounting analytics methods.
• Critically analyse accounting case studies to gain an understanding of the opportunities and challenges brought by large financial and non-financial data set.
• Use and evaluate analytics techniques to interpret accounting data, analyse business environments, and develop solutions for authentic (real world and ill-defined) problems in accounting processes.
• Interpret and effectively communicate the findings of accounting analytics to both specialists and non-specialists.
• Demonstrate an advanced understanding of contemporary accounting analytics relevant to accountants’ work in professional contexts.
Other Information
See the course outline on the College courses page. Outlines are uploaded as they become available.Indicative Assessment
Typical assessment may include, but not restricted to class presentation, assignment(s), quizzes and examination(s).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.Requisite and Incompatibility
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 3
- Unit value:
- 6 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course 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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2018 | $4080 |
- International fee paying students
| Year | Fee |
|---|---|
| 2018 | $5400 |
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.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 4676 | 19 Feb 2018 | 27 Feb 2018 | 31 Mar 2018 | 25 May 2018 | In Person | N/A |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 9730 | 23 Jul 2018 | 30 Jul 2018 | 31 Aug 2018 | 26 Oct 2018 | In Person | N/A |
