Master of Big Data Auditing

The Master of Big Data Auditing can be completed in 2 years full-time or 4 years part-time, giving students flexibility to balance their studies with other commitments.

To be eligible for the Master of Big Data Auditing, applicants need either an Australian bachelor's degree (or equivalent qualification, including an overseas qualification), or completion of a Graduate Certificate or Graduate Diploma in a relevant field. English language requirements also apply — please refer to the English Language Requirements section for details.

The course provides students with foundations in auditing and related areas, as well as an understanding of digital technologies, big data, analytics, artificial intelligence, and blockchain and how these can support auditing activities and services. Business applications of digital technologies are embedded across the curriculum, with units covering areas such as fraud auditing, blockchain applications, intelligent automation, data visualisation, corporate governance, and internal control and risk management.

Graduates are well-suited for roles such as Data Analyst, Audit Manager, Compliance Officer, Risk Analyst, and Forensic Accountant. Their expertise in big data technologies and auditing methodologies allows them to identify anomalies, assess risks, ensure regulatory compliance, detect fraud, and enhance operational efficiency through data-driven insights.

Assessment methods are designed to encourage learning, provide feedback and measure achievement of unit learning outcomes. Forms of assessment vary among units and include research reports, projects, essays, group work, presentations, problem solving and case studies as well as tests, quizzes and examinations. Students may be required to complete assessment tasks alone or in groups. In capstone units, assessments may include industry engagement and an extensive report.