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Research School of Accounting · ANU College of Business and Economics
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.
Typical assessment may include, but not restricted to class presentation, assignment(s), quizzes and examination(s).
Learning outcomes 1, 2, 3, 4, 5
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.
Information about the prescribed textbook (if any) will be made available via the Class Summary.