CRICOS: 0102138

Master of Big Data Auditing

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PROGRAM OVERVIEW

The Master of Big Data Auditing is designed to equip students with the necessary skills and knowledge for a career in professional auditing in the current era of digital transformation.

The course aims to provide students with the required foundations in auditing and related areas, as well as an understanding of the way in which digital technologies, big data, analytics, artificial intelligence and blockchain can support auditing activities and services.

The course is taught by qualified and experienced academic staff active in scholarship and professional development. The course is at the forefront with business applications of digital technologies embedded across the curriculum. 

DURATION

2 years full-time or 4 years part-time

DELIVERY SITE

On campus South Eveleigh NSW

ENTRY REQUIREMENTS

  • 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

  • Find out if your overseas qualification is recognised and meets the Entry Requirements.

    ENGLISH LANGUAGE REQUIREMENTS

    Please refer to English Language Requirements

    COURSE STRUCTURE

    Term 3 Core Units

    WBMBDA02 Auditing and Assurance Services in China

    WBMBDA03 Corporate Governance and Internal and External Audit

    WBMBDA05 Business Skill for IT Auditing and Project Management

    WBMBDA06 Fraud Auditing

    This course contains 21 units in auditing and related fields. All units are weighted at 6 credit points unless otherwise marked “#” which are units weighted at 3 credit points (i.e. half units).

    To qualify for the degree of Master of Accounting Intelligence, a student must complete an aggregate of 18 core units (96 credit points).

    *Prerequisite/Co-requisite Requirements

    FURTHER COURSE DETAILS

    Upon completing a Master of Big Data Auditing programme, graduates are primed for a range of career paths in the field of data analysis and auditing. Equipped with advanced skills in data mining, statistical analysis, and auditing techniques, they are well-suited for roles such as data analysts, audit managers, compliance officers, risk analysts, and forensic accountants. Their expertise in leveraging big data technologies and auditing methodologies allows them to identify anomalies, assess risks, and ensure regulatory compliance within organisations. With a focus on data integrity, security, and accuracy, graduates play a pivotal role in safeguarding financial systems, detecting fraud, and enhancing operational efficiency through data-driven insights.

    Career possibilities include:

    • Data Analyst
    • Audit Manager
    • Compliance Officer
    • Risk Analyst
    • Forensic Accountant

    Recognition of Prior Learning (RPL) is available and will be assessed in accordance with IMC’s RPL policy and procedure. Please refer to the Application for Recognition of Prior Learning and the RPL policy and procedure for further details.

    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 to encourage development of generic skills. Assessments generally require a written submission but may include an oral presentation. In capstone units, assessments may include industry engagement and an extensive report.

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