Macquarie University
Master of Information Technology in Artificial Intelligence
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Master advanced AI theory along with practical applications to prepare for designing innovative solutions in machine learning, data analytics and intelligent systems.
Course overview
Artificial intelligence is reshaping every industry – from personalised beauty tech and social robots to predictive analytics and next-generation automation. With the global AI market projected to exceed $1 trillion in the next five years, demand is soaring for professionals who can design, evaluate and deploy intelligent systems that are ethical, efficient and human-centred.
The Master of Information Technology in Artificial Intelligence will prepare you to meet that demand. You’ll explore advanced machine learning, natural language processing and automated decision-making in business, while examining the ethical and legal frameworks that guide responsible AI. Collaborative, project-based learning will develop your workplace capability, which you’ll extend through an industry-based internship or supervised research project. You’ll study in our state-of-the-art 14-lab computing precinct and engage with research conducted by the Centre for Applied Artificial Intelligence and the Frontier AI Research Centre. And, you’ll have opportunities to connect with organisations actively applying AI in their products and operations, such as Fujitsu, Johnson & Johnson, Sanofi and Schneider Electric, in the neighbouring Connect Macquarie Park Innovation District.
Key facts
What you will study
To complete the Master of Information Technology in Artificial Intelligence, you must fulfil 160 credit points. Each unit is valued at 10 credit points unless otherwise indicated.
Foundation Zone (80 Credit Points)
- Foundations of Computer Programming
- Introductory Statistics
- Data Science
- Database Systems
- Intelligent Machines, Ethics and Law
- Knowledge, Planning and Decision-Making under Uncertainty
- Artificial Intelligence for Text and Vision
- Business Applications of Artificial Intelligence
Core Zone (60 Credit Points)
- Advanced Machine Learning
- Rights, Responsibilities and AI
- Advanced Topics in Artificial Intelligence
- Advanced Natural Language Processing
- Advanced Computer Vision and Action
- Automated Decision Making in Business
- Major Project (20 Credit Points)
Entry requirements
Two years (160 credit points).
- AQF Level seven bachelor's qualification in a related discipline or recognised equivalent.
English language requirements.
When applying to study at Macquarie University, you must provide evidence of proficiency in English.
The required standard of English for this degree is:
- IELTS band's minimum score required - Reading 6, Writing 6, Listening 6 and Speaking 6, an overall score of 6.5
You may satisfy the English language requirements by:
- Passing an approved English language test at the required level.
- Qualifying an approved country with English as the language of instruction.
Recognition of Prior Learning
You may be able to get credit for your course based on prior formal, non-formal or informal learning. To apply, you will need to provide supporting documentation outlined by the university. Contact the university for more information.
Outcomes
Career outcomes
Graduates may pursue careers in roles such as:
- Data Analyst
- Data Engineer
- Data Scientist
- Machine Learning Specialist
- Research Scientist
- Robotics Engineer
- Software Developer
- Software Engineer
- Solutions Architect
Learning outcomes
On successful completion, you will be able to:
- Integrate knowledge and evaluation to clearly define the principles and limitations of artificial intelligence (AI).
- Develop solutions for complex business challenges using AI methods and technologies.
- Critically reflect on the ethical, legal, and socioeconomic implications of AI.
- Analyse and explain the applications of AI across various fields and practices.
- Assess the sustainability of AI solutions within the context of the industry.
- Communicate complex information about AI concepts and projects to both specialist and non-specialist audiences.
Fees and FEE-HELP
Estimated first-year tuition fee in 2026: $34,400 (domestic full-fee paying place).
The estimated per-unit fee is calculated using the annual average first-year fee. It is based on a full-time study load of 40 credit points (four units) per semester or 80 credit points (eight units) per year.
A student’s annual fee may vary in accordance with:
- The number of units studied.
- Choice of units.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
Student fees shown are subject to change. Contact the university directly to confirm.
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.