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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. 


2 years full-time or 4 years part-time

International students are required to maintain a full-time study load on campus basis


On campus South Eveleigh NSW


Refer to key dates


  • 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

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


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 


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.


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.