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
APPLICATION DATE
Refer to key dates
DELIVERY SITE
On campus South Eveleigh NSW
ENTRY REQUIREMENTS
Find out if your overseas qualification is recognised and meets the Entry Requirements.
ENGLISH LANGUAGE REQUIREMENTS
Please refer to English Language Requirements
COURSE STRUCTURE
TACC608 Auditing and Assurance Services*
TLAW609 Taxation Law and Practice (in Australia)*
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
WBMBDA04 Internal Control and Risk Management
TTEC625 Big Data Applications in Auditing#
TTEC626 Data Visualisation and Presentation in Auditing#
TTEC627 Blockchain Applications in Auditing and Assurance#
TTEC608 Intelligent Automation Applications in Auditing and Assurance#
TCAP602 Digitalised Services in Auditing and Assurance Practice (Capstone)
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
- Career Options
- Recognition of Prior Learning (RPL)
- Assessment Methods
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.