Masters (Coursework)
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 aims to provide students with the required foundations in taxation and related areas, as well as an understanding of the way in which digital technologies, big data, analytics, artificial intelligence and blockchain can support taxation 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.
Find out if your overseas qualification is recognised and meets the Entry Requirements.
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
Term 1 Core Subjects
Term 2 Core Units
Term 3 Core Units
Term 4 Core Units
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
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.