University of Melbourne
Graduate Certificate in Artificial Intelligence Online
- Delivery: Online
- Study Level: Postgraduate
- Duration: 8 months
- Course Type: Graduate Certificate
Turn AI curiosity into technical capability. Build practical skills in programming and machine learning with the University of Melbourne’s online Graduate Certificate in Artificial Intelligence, with a pathway to further study.
Course overview
Develop the technical foundations to put artificial intelligence to work. The University of Melbourne’s online Graduate Certificate in Artificial Intelligence helps professionals build AI capability, whether you’re expanding existing expertise or exploring a new career direction.
Across four subjects, explore AI foundations, programming, algorithmic thinking and machine learning. Learn how AI systems function and develop the skills to design and implement solutions to real-world problems, including using supervised and unsupervised learning techniques.
Learn from academics actively contributing to AI research, with industry scenarios connecting theory to practice. Foundational subjects progressively develop your technical confidence, while academic guidance and a dedicated Student Success Adviser support your learning.
Complete the course in eight months, with flexible online learning that lets you participate live or access content when it suits you. Apply your knowledge in your professional setting or continue building your expertise through a pathway into the Master of Artificial Intelligence.
Key facts
March, 2027
May, 2027
July, 2027
August, 2027
October, 2027
What you will study
To successfully graduate from the Graduate Certificate in Artificial Intelligence, students must complete 50 credit points.
- AI Programming Fundamentals
- Algorithmic Thinking
- Machine Learning
- Foundations of AI
Entry requirements
Admission criteria
You must have one of the following to be considered for this course.
- An undergraduate degree (or equivalent) in information technology or a related field with a Weighted Average Mark (WAM) of at least 65% (or equivalent).
- An undergraduate degree (or equivalent) in any discipline, with a Weighted Average Mark (WAM) of at least 65% (or equivalent) and two years of relevant full-time work experience (or equivalent).
- Six years of relevant full-time work experience (or equivalent).
English language requirements
- Applicants are required to satisfy the University's English language requirements for graduate courses. For those seeking to meet these requirements through a standard test approved by the Academic Board, a performance band of 6.5 is required.
Outcomes
Learning outcomes
- Apply fundamental AI concepts and methodologies to build a strong foundation for AI-focused careers.
- Develop essential programming skills to design and implement AI algorithms that work effectively with large datasets to solve complex business problems.
- Address real-world challenges using supervised and unsupervised machine learning techniques and use these insights to inform future strategy.
Career outcomes
This qualification will help prepare you for a variety of roles, such as:
- AI Governance Analyst
- AI Solution Engineer
- Cloud and AI Solution Engineer
- Data and Evaluations Officer
- Digital Systems Lead
- Learning Designer
Fees and FEE-HELP
Cost per 12.5 credit points in 2027: $5,284 (domestic full-fee paying place)
Estimated total cost for 12 subjects in 2027: $21,136 (domestic full-fee paying place)
Fees are subject to annual review by the university, with any new rates effective from the beginning of each calendar year.
A student’s fee may vary depending on:
- The number of subjects studied per term.
- The choice of major or specialisation.
- Choice of subjects.
- Credit from previous study or work experience.
- Eligibility for government-funded loans.
You may also need to pay the student services and amenities fee.
FEE-HELP loans are available to assist eligible full-fee paying domestic students.
