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Master of Big Data Auditing

CRICOS Code  0102138
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 satisfies the academic requirements for entry to the Australian professional accountancy bodies and hence provides an opportunity for a national or international career in auditing.

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 Fintech applications, big data, analytics, artificial intelligence and blockchain can support auditing activities and services.

The course is taught by academic staff active in research, and students are exposed to professional and scholarly developments that have been achieved through research activity. The course is at the cutting edge with business applications of digital technologies embedded across the curriculum.

This course is accredited by major accounting bodies including CPA Australia, CAANZ, and ACCA.

Duration 2 years full-time or part-time equivalent
Entry Requirements
  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification),
  • Completion of a Graduate Certificate or Graduate Diploma in a relevant field, or
  • Completion of IMC’s Postgraduate Preparation Program
English Language Requirements IELTS of 6.5 overall with minimum 6.0 in each band, or equivalent. 
Credit arrangement

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

Course Structure

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).             

Assumed Knowledge Required

TACC601 Principles of Accounting

TECO601 Principles of Economics

TSTA602 Quantitative Methods for Accounting and Finance

Term One

TLAW607 Business and Corporations Law (in Australia)

TACC606* Accounting Theory and Application

TACC607* Managerial Accounting

TFIN603 Corporate Finance

Term Two

TACC605* Corporate Accounting

TACC608* Auditing and Assurance Services

TLAW603* Taxation Law and Practice (in Australia) 

TTEC614 Business Intelligence in Auditing and Assurance

Term Three

BNAI603 Auditing and Assurance Services in China

BNAI604 Corporate Governance and Internal and External Audit

BNAI605 Business Skill for IT Auditing and Project Management

BNAI602 Fraud Auditing

Term Four

BNAI601 Internal Control and Risk Management

TTEC605 Big Data Applications in Auditing#

TTEC606 Data Visualisation and Presentation in Auditing#

TTEC607 Blockchain Applications in Auditing and Assurance#

TTEC608 Intelligent Automation Applications in Auditing and Assurance#

TCAP602 Digitalised Services in Auditing and Assurance Practice (Capstone)

To qualify for the degree of Master of Big Data Auditing, a student with RPL is expected to complete an aggregate of 18 units (96 units of credit). The number of required units will be up to 21 units (114 credit points) if RPL is not awarded.

*Prerequisite/Co-requisite Requirements

Please refer to the table for the changes to unit codes and names which will be effective from Term 1, 2020.

Please note: The availability of units may be slightly different across campuses.

Accreditation  acca CAANZ-logo CPA_Australia_Logo
Pathway to employment/further study
With continuing high global demand for qualified accountants and auditors with advanced knowledge and skills in digital business technologies, graduates of the program have a wide range of career opportunities in accounting and auditing firms, government departments, banking and finance organisations, corporations and other related auditing fields.

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