The Master of Artificial Intelligence & Machine Learning is a future-focused programme designed to equip international students with the advanced skills required to lead innovation in AI-driven industries. This course prepares students to design, build, and deploy intelligent systems that solve complex real-world problems. You'll gain hands-on experience with neural networks, computer vision, robotics, natural language processing, and deep learning — alongside training in ethical AI use and data governance.
Course Details
2-year full-time postgraduate program with specialisations in deep learning, computer vision, and NLP
Includes capstone projects and real-world industry placements with tech firms and start-ups in Adelaide
Covers advanced programming (Python, TensorFlow, PyTorch), algorithm design, and big data applications
Designed to meet global AI and ML industry standards and ethical frameworks
Access to cutting-edge labs, computing infrastructure, and faculty with industry research links
Offshore Student Requirements
Recognised Bachelor’s degree in IT, Computer Science, Data Science, Engineering, or Mathematics
IELTS 6.5 (with no band less than 6.0) or equivalent English proficiency
Valid student visa (subclass 500) and overseas student health cover (OSHC)
Must demonstrate strong programming proficiency in at least one language (e.g., Python, Java, C++)
Statement of Purpose outlining interest in AI/ML and future career goals
Graduate Outcomes
Roles such as AI Specialist, Machine Learning Engineer, Data Scientist, Robotics Developer, or Researcher
Employment opportunities across sectors: healthcare, finance, defence, logistics, and smart tech
Pathway to pursue a PhD or academic research in artificial intelligence and machine learning
Access to Australia’s growing tech ecosystem, with Adelaide home to Lot Fourteen innovation precinctss
Strong positioning on the Medium and Long-Term Strategic Skills List (MLTSSL) for migration pathways
Related Courses
Master of Data Science
for students focused on analytics, modelling, and data-driven decision-making
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