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Master of Taxation (with Data Analytics and Artificial Intelligence)

CRICOS Code 0102139 
Program Overview

The Master of Taxation (with Data Analytics and Artificial Intelligence) is designed to equip students with the necessary skills and knowledge for a career in professional taxation 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 taxation.
The course aims to provide students with the required foundations in taxation and related areas, as well as an understanding of the way in which Fintech applications, big data, analytics, artificial intelligence and blockchain can support taxation 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 22 units in taxation 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

TFIN603 Corporate Finance

Term One

TLAW607 Business and Corporations Law (in Australia)

TACC606* Accounting Theory and Application

TACC607* Managerial Accounting

TTEC615 Human-Computer Interaction

Term Two

TACC605* Corporate Accounting

TACC608* Auditing and Assurance Services

TLAW603* Taxation Law and Practice (in Australia) 

BNAI606 Taxation Law and Practice in China

Term Three

TLAW604* Current Issues in Taxation

TLAW605* Business and Personal Tax Planning

BNAI607 Tax Treaty and Practice

BNAI608 Tax and Empirical Method

Term Four

TLAW606* International Taxation

TTEC609 Big Data Applications in Taxation#

TTEC610 Data Visualisation and Presentation in Taxation#

TTEC611 Blockchain Applications in Taxation#

TTEC612 Artificial Intelligence Applications in Taxation#

TCAP603 Digitalised Services in Taxation Practice (Capstone)

To qualify for the degree of Master of Taxation (with Data Analytics and Artificial Intelligence), 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 22 units (120 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 taxation staff with advanced knowledge and skills in digital business technologies, graduates of the program have a wide range of career opportunities in accounting firms, government departments, banking and finance organisations, corporations and other related taxation fields.

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