Master of Machine Learning and Computer Vision

COURSE CURRICULUM

The Master of Machine Learning and Computer Vision at Australian National University is a 96-unit postgraduate program designed to provide advanced technical expertise in artificial intelligence, machine learning, and computer vision, with a strong emphasis on both theoretical foundations and applied problem-solving. The program requires a minimum of 24 units at 8000-level, ensuring advanced study and research depth. Students begin with core foundational training in structured programming, followed by a professional practice course focused on communication, ethics, leadership, and responsible innovation. They then complete core technical coursework in machine learning and computer vision, including subjects such as introduction to machine learning, computer vision, statistical machine learning, and advanced topics in deep learning and AI. A further set of electives allows students to broaden their expertise across areas such as artificial intelligence, robotics, information theory, optimisation, graphics, and document analysis, ensuring strong interdisciplinary capability within computing and engineering domains. The program includes a structured pathway requiring either a software construction and industry/research project stream or a research-focused pathway involving computing research methods and an advanced research project. Students may also undertake internships or team-based industry projects to gain practical experience. Additionally, postgraduate electives provide further flexibility. Overall, the degree develops highly skilled professionals capable of working in AI, robotics, data science, and computer vision, while also offering a pathway to advanced research or PhD study for high-performing students.