Adelaide University
Master of Information Technology (Applied Artificial Intelligence)
- Delivery: Face to Face
- Study Level: Postgraduate
- Duration: 24 months
- Course Type: Master's
Build your foundational knowledge and skills to apply artificial intelligence to meet growing industry demand.
Course overview
Build the skills necessary to graduate with a strong background in emerging technologies and policies, ready to meet growing industry demand.
The Master of Information Technology (Applied Artificial Intelligence) is aligned with the Australian Government’s 10-year AI Action Plan (2030). The degree provides you with a solid foundation in AI principles and practical applications of concepts and theories. Develop practical skills through industry-relevant projects, guided by experienced researchers and academics. Learn computing foundations before diving into the world of AI and machine learning.
These skills will help you graduate ready to explore the possibilities of AI. Carve out a fascinating career path that aligns with your interests, whether it is in healthcare, finance, manufacturing, retail or another sector that’s implementing AI solutions.
Key features
- Develop foundational skills in artificial intelligence.
- Apply course concepts to create innovative AI solutions.
- The first four common courses in all Master of IT degrees provide flexibility to change specialisations.
- Gain practical insights into AI and form valuable industry connections.
- Explore ethical and social implications of new technologies.
Key facts
Mawson Lakes Campus
July, 2026
What you will study
Students must complete 96 units comprising:
- 78 units for core courses
- 18 units for all work integrated learning
Each course is worth six units.
Complete 78 units from the following:
- Information Technology and Systems Concepts
- Security Principles
- Data in Information Technology Systems
- Problem Solving and Programming Foundations
- Applied Artificial Intelligence and Machine Learning
- Entrepreneurial Thinking
- Innovative and Emerging Technologies
- Applied Artificial Intelligence and Machine Learning 2
- Security Principles
- Business Intelligence
- Business Process Management
- Data Taming and Prediction
- Project Management for IT Professionals
- Statistical Foundations for Data Science and Artificial Intelligence
Entry requirements
Admission criteria
To be eligible, an applicant must have achieved at least one of the following minimum entry requirements and demonstrate they fulfil any essential criteria for admission. In cases where there are more eligible applicants than available places, admission will be competitive, with ranks based on the entry criteria.
- A completed bachelor's (AQF level 7) or bachelor's honours (AQF level 8) degree or equivalent from a recognised higher education institution; OR
- A completed nested or related graduate certificate (AQF level 8) or higher or equivalent from a recognised higher education institution.
Recognition of Prior Learning
Adelaide University is committed to recognising the contribution of students’ prior learning towards their program requirements.
Credit may be granted for formal, informal and non-formal learning, with guidance on eligibility provided to prospective students in a clear, transparent and publicly available credit framework.
Credit determinations will be:
- Evidence-based, equitable and transparent.
- Academically sound.
- Applied consistently, fairly and subject to review.
Credit will be granted for prior learning that is relevant and equivalent to the learning required for the courses for which credit is sought.
Credit will only be granted if it:
- Maintains the credibility and integrity of the program for which credit is sought.
- Does not contravene the conditions of the program’s professional accreditation.
- Does not disadvantage the student’s ability to achieve the expected course or program learning outcomes.
For more information, contact the university or visit its website.
Outcomes
Learning outcomes
- Equips you with the tools needed for your future career by adopting a practical approach.
- Develop strong theoretical knowledge in the application and fundamentals of AI principles before moving into specialised elective courses in the second year.
- Develop the skills necessary to be innovative in the use of AI and machine learning tools through research opportunities and an industry-based project.
Career outcomes
You may find yourself working in health care, using AI to assist in medical diagnosis and drug discovery. AI is also changing the face of finance – you could use technologies to enable fraud detection and algorithmic trading. Employment is available in a range of industries ,including tech companies, consulting firms, start-ups and research institutions.
Graduates of this degree can also explore potential careers as:
- AI Consultant
- AI Data Analyst
- Digital Strategist
- AI Policy Specialist
Fees and FEE-HELP
Indicative annual fee in 2026: $41,500 (domestic full-fee paying place)
Fee-paying programs require the full tuition fees for your study, which can be deferred partly or in full to a FEE-HELP loan. Where the duration of the program is less than one year, the total cost of the program is displayed.
A student’s fee may vary depending on:
- The number of courses studied per term.
- The choice of major or specialisation.
- Choice of courses.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
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.