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About the course
This two-year masters develops advanced capability in machine learning and computer vision, taught within ANU’s College of Engineering, Computing and Cybernetics and aligned with leading research strengths such as robotic vision. The program combines core computing foundations with specialist vision/ML coursework and professional practice. Students can choose an industry-focused pathway with internship/team project or a research-focused pathway with an extended research project.
What you might learn
You will build strong theoretical and practical skills in machine learning and computer vision, including deep learning, statistical learning and AI methods, alongside solid programming and software construction capability. The degree emphasises responsible professional practice, communication and leadership, and provides opportunities to apply techniques through projects, internships or research. High-performing students can use the research pathway as preparation for PhD study.
Career outcome
Graduates are prepared for roles applying ML and computer vision across technology and data-driven sectors. Typical pathways include machine learning engineer, computer vision engineer, AI/analytics specialist, robotics/perception developer, research engineer, or data scientist in industries such as autonomous systems, defence, healthcare imaging, security, manufacturing and software. The research option also supports progression to doctoral study and academic or R&D careers.
Entry requirements
Applicants need a recognised Bachelor degree (or equivalent) in a cognate discipline with GPA 5/7, or GPA 4/7 plus at least three years relevant work experience. Eligible backgrounds include computer science/engineering, electrical/electronics, software, mechatronics, mathematics, physics, statistics, AI and related fields. Applicants must also meet ANU English language requirements and are assessed competitively.
Average Salary***
