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Research School of Accounting · ANU College of Business and Economics
This course involves on-campus teaching. For students not on campus, there will be a remote option in Sem 1. See Class Summary or Wattle for details. 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.
Typical assessment may include, but not restricted to class presentation, assignment(s), quizzes and examination(s).
Learning outcomes 1, 2, 3, 4, 5, 6
Students taking this course are expected to commit 130 hours over the semester 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.
Information about the prescribed textbook (if any) will be made available via the Class Summary.