This two-year Master of Machine Learning and Computer Vision (MMLCV) program provides students with specific knowledge and prepares them with competitive professional skills and high flexibility to build their career in the field of Machine Learning and Computer Vision. ANU is one of the finest research universities in Australia, and hosts the ARC Centre of Excellence for Robotic Vision. This new program will be offered by world-class prominent professors and researchers in Computer Vision, Machine Learning, and Artificial Intelligence, based in the College of Engineering and Computer Science (CECS). For interested students, this program also provides a potential pathway to PhD study.

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Learning Outcomes

1. Understand computer vision and visual perception problems and propose and develop novel solutions based on current research literature and state-of-the-art computer vision techniques.
2. Proficiently apply development tools for solving computer vision and machine learning problems.
3. Present the methodologies and implementation details in a concise and clear manner.
4. Conduct concept design, implementation, experimental analysis and testing consistent with current practice in computer vision and machine learning, including standard metrics and benchmark datasets.
5. Apply advanced knowledge, techniques and tools to real-world computer vision and machine learning applications.