Master of Machine Learning and Computer Vision

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 program is taught by world-class prominent professors and researchers in Computer Vision, Machine Learning, and Artificial Intelligence, based in the College of Engineering, Computing and Cybernetics (CECC). 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.

Admission Requirements

Applicants must present one of the following:

The GPA for a Bachelor program will be calculated from (i) a completed Bachelor degree using all grades and/or (ii) a completed Bachelor degree using all grades other than those from the last semester (or equivalent study period) of the Bachelor degree. The higher of the two calculations will be used as the basis for admission.

Cognate Disciplines: Electrical and/or Electronics engineering, Computer Science, Software Engineering, Computer Engineering, Automation, Mechatronics, Telecommunications, Mathematics, Physics, Bioinformatics, Control systems and engineering, Statistics, Artificial Intelligence, Biomedical Science, Optical Engineering.

Ranking and English language proficiency: At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry. In line with the University's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors. Applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes. If required, ranking may further be confirmed on the basis of:

Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.

Further information: English language admission requirements and post-admission support

Employment Opportunities

Machine Learning and Computer Vision have been revolutionising the way we view and interact with the world. The employment opportunities for MMLCV graduates are extensive and span across various industries, reflecting the widespread integration of AI technologies into modern systems and services. The demand for these skills is expected to grow as AI and machine learning continue to drive innovation and transformation across sectors worldwide. Some examples include Data Analyst, Computer Vision Engineer, Machine Learning Engineer, AI Research Scientist, Software Developer, AI Consultant and Startup Founders. Past students have been accepted directly into PhD programs at ANU, University of Queensland, University of Adelaide, University of North Carolina (USA) and Simon Fraser University (Canada).