A Bachelor degree or international equivalent in a cognate disciplines with a GPA of 5/7; A Bachelor degree or international equivalent in a cognate discipline with a GPA of 4/7 and a minimum of three years relevant work experience
Master of Machine Learning and Computer Vision
ProviderThe Australian National UniversityCourse overview
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.
Entry requirements
Postgraduate and higher courses usually use academic prerequisites, degree equivalence and English-language requirements.
Postgraduate entry
If your current English result is below direct entry, consider the university-recognised English language pathway or ELICOS package; successful completion at the required level can usually satisfy English entry without another English test.
Past Offers
Current-course cases first, supplemented by same-institution scored cases.
Course curriculum
Course structure, credit points and subject sequence
Refer to the institution course handbook.
References
Official course, fees, admissions, English, curriculum and related sources.
