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Australian National University (ANU)

  • #1 in Agriculture & Environmental Studies
  • 36% international / 64% domestic

Master of Machine Learning and Computer Vision

  • Masters (Coursework)

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.

Key details

Degree Type
Masters (Coursework)
Course Code
MMLCV, 099247C
Study Mode
In person
Domestic Fees
$36,288 per year / $36,288 total
International Fees
$47,880 per year / $47,880 total

About this course

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.

Entry requirements

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. 

A Bachelor degree or international equivalent in a cognate disciplines with a GPA of 5/7.

Or:

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. 

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.

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. 

Academic achievement & English language proficiency

The minimum academic requirement for full entry and enrolment is a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0 or 4.0/7.0 (as applicable). 

However, 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: 

• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or

• demonstrating higher-level English language proficiency. 

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

Diversity factors

As Australia’s national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe.

Assessment of qualifications

Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.

 Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

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.

Indicative fees Domestic International Annual indicative fee for domestic students $36,288.00

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students $47,880.00 Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

Study locations

Canberra

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at Australian National University (ANU).
60.9%
Overall satisfaction
65.2%
Skill scale
43.5%
Teaching scale