BackThe Australian National University
OpenMaster degree (coursework)Engineering and Related Technologies

Master of Machine Learning and Computer Vision

ProviderThe Australian National University
Course code: SIA-213949UniversityStudy area: Engineering and Related TechnologiesCourse data availableData JSON

Course 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

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

English requirement
Cambridge C1 Advanced 169 (L 163 / R 163 / W 170 / S 179)IELTS Academic 6.5, no band below 6PTE Academic 64, no component below 60TOEFL iBT 81 (L 16 / R 16 / W 19 / S 19)

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.

Scored cases
Source countriesMalaysia
Common pathwayFoundation background
Target levelBachelor degree
Offer fieldsPhysics
1
MalaysiaFoundation background
Bachelor of ScienceBachelor degree · Physics · Offshore
GPA / 4.0GPA 4.0/4.04.00 · top band · approx. top 5%

Course curriculum

Course structure, credit points and subject sequence

Course curriculum not yet available

Refer to the institution course handbook.