CRICOS: 0102139
Master of Taxation (with Data Analytics and Artificial Intelligence)
Start your journey
PROGRAM OVERVIEW
Embark on a transformative journey into the realm of taxation with our Master of Taxation (with Data Analytics and Artificial Intelligence) program. Designed to prepare students for the evolving demands of the digital age, this innovative course equips you with essential skills and knowledge for a successful career in professional taxation. Explore foundational principles of taxation alongside cutting-edge technologies such as big data, analytics, artificial intelligence, and blockchain, discovering how they revolutionise taxation activities and services.
Led by experienced academic staff actively engaged in professional development, our program ensures a comprehensive education at the forefront of innovation. With digital technologies seamlessly integrated throughout the curriculum, students are empowered to navigate the complexities of modern taxation with confidence and expertise. Join us and embrace the opportunities of tomorrow as you become a leader in the dynamic and ever-evolving field of taxation.
DURATION
2 year full-time or 4 years part-time
APPLICATION DATE
Refer to key dates
DELIVERY SITE
On campus (Eveleigh NSW 2015ï¼›Hobart TAS 7000)
ENTRY REQUIREMENTS
Find out if your overseas qualification is recognised and meets the Entry Requirements.
ENGLISH LANGUAGE REQUIREMENTS
IELTS Academic A minimum overall score of 6.0 with no individual band less than 5.5
COURSE STRUCTURE
TACC605 Corporate Accounting *
TACC608 Auditing and Assurance Services *
TLAW602 Australian Taxation Law *
WBMT02 Taxation Law and Practice in China
TLAW604 Current Issues in Taxation *
TLAW605 Business and Personal Tax Planning *
WBMT03 International Tax Treaty and Practice
WBMT04 Tax and Empirical Method
This course contains 16 core subjects in accounting and related fields.
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.
FURTHER COURSE DETAILS
- Career Options
- Recognition of Prior Learning (RPL)
- Assessment Methods
After completing a Master of Taxation with Data Analytics and Artificial Intelligence, graduates are equipped with a unique skill set that combines taxation expertise with cutting-edge technologies. They are well-positioned for roles such as tax data analysts, tax technology specialists, tax compliance managers, tax consultants, and tax policy analysts. With a focus on leveraging data analytics and artificial intelligence tools, they can efficiently analyse complex tax data, identify trends, and provide strategic insights to organisations. Their expertise enables them to navigate the intricacies of tax regulations, optimize tax processes, mitigate risks, and ensure compliance. Graduates play a crucial role in helping businesses and individuals navigate the evolving tax landscape while harnessing the power of data and AI to drive efficiency and strategic decision-making.
Career possibilities include:
- Tax Data Analyst
- Tax Technology Specialist
- Tax Compliance Manager
- Tax Consultant
- Tax Policy Analyst
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.