This curated 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, computer vision and artificial intelligence. The program highlights the broad impact of these technologies across many domains, including autonomous driving, robotics, medical imaging, precision agriculture, intelligent surveillance, drone and remote sensing systems, retail analytics, manufacturing, environmental monitoring, and healthcare.

This program is taught by world-class, prominent professors and researchers in Computer Vision, Machine Learning, and Artificial Intelligence, based in the College of Systems and Society (CSS). For students interested in further study or careers in academia, this program can provide a pathway to PhD study based on high performance in coursework and completion of a research project.

Machine Learning and Computer Vision (MLCV) is one of the core research strengths of CSS in ANU. This program allows students access to all the research-led elements of the current augmentations in MLCV areas and allows them to contribute to the world-leading research expertise in the relevant areas at ANU. Individual and group research and design projects are a strong feature of ANU engineering and computing education, and are integrated into many of the required courses.

Currently, computerised visual perception and visual information processing have been used in broad areas such as human-computer interaction, assisted disease diagnosis via medical imaging, visual inspection in mechanical engineering, visual searching in social media etc. In addition, Machine Learning and Computer Vision are prominent research areas in Artificial Intelligence (AI). These areas provide essential research towards the realisation of intelligent and smart cities in the coming decades.