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Research School of Accounting · ANU College of Business and Economics
In an increasingly data-driven business environment, skills in data analytics for accountants are critical. This course provides an introduction to the importance and use of accounting data analytics. Focusing on how data analytics impact on financial and management accounting, the course introduces a series of techniques and tools for analysing large amounts of data to answer fundamental accounting questions and for businesses to create value. The course is designed to provide students the opportunity to develop an analytical mindset. Students will be able to identify relevant questions, scrub and prepare financial and non-financial accounting data, communicate results in a meaningful way and understand the effects that the quality of the underlying data has on its usefulness for decision making.
A combination of computer laboratory work, exams, assignments, quizzes, presentations and other assessments as appropriate
Learning outcomes 1, 2, 3, 4, 5, 6
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 (including non-teaching weeks) on course, reading, writing and assignment work.
Information about the prescribed textbook (if any) will be made available via the Class Summary.