Master of Applied Artificial Intelligence (Professional)

The Master of Applied Artificial Intelligence (Professional) at Deakin University offers advanced study in AI, focusing on the development of intelligent systems and preparing graduates for the rapidly evolving technology landscape. Located in Melbourne, this two-year program is designed for those seeking to deepen their expertise in artificial intelligence through a blend of theoretical knowledge and practical application.

The curriculum is structured around units of study, each carrying credit points that contribute toward the completion of the qualification. Across the course, students will typically cover topics such as machine learning, deep learning, natural language processing, computer vision, and AI ethics and governance. A central feature is the professional capstone project, where students apply their learning to solve real-world problems, often in collaboration with industry partners. Many students also undertake work-integrated learning or a professional placement, gaining valuable experience within Australia's dynamic technology sector.

Graduates of this course develop advanced skills in programming, data analysis, AI system design, project management, and ethical decision-making. The course is suitable for those with a background in computing, engineering, science, or related fields who wish to specialise further and position themselves for technical leadership roles. The Australian context provides exposure to a thriving ecosystem of AI research, start-ups, and established technology firms, adding a unique dimension to the student experience.

International students benefit from Australia’s work rights, allowing them to work up to 48 hours per fortnight during study, and may be eligible for the Temporary Graduate visa (subclass 485) post-completion. Entry requires evidence of English proficiency, such as an IELTS Academic overall score of 6.0–6.5, or equivalent. Refer to the official Deakin website or the CRICOS register for up-to-date course and admission information.

• AI Specialist in technology or research organisations
• Machine Learning Engineer in software, health, or financial industries
• Data Scientist working with Australian startups or enterprises
• AI Solutions Architect in consulting or product development
• Research and Development roles within Australian technology firms or universities