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single degree

Graduate Certificate of Machine Learning and Computer Vision

A single graduate degree offered by the ANU College of Engineering and Computer Science

GCMLCV
  • Minimum 24 Units
  • Mode of delivery
    • Online
  • Field of Education
    • Computer Science
  • Academic contact
  • Minimum 24 Units
  • Mode of delivery
    • Online
  • Field of Education
    • Computer Science
  • Academic contact

Program Requirements

The Graduate Certificate of Machine Learning and Computer Vision requires the completion of 24 units, which must consist of:

COMP6730 Programming for Scientists

COMP6670 Introduction to Machine Learning

ENGN6528 Computer Vision

ENGN6627 Robotics

Admission Requirements

This program is only open to Domestic students

A Bachelor degree or international equivalent with a minimum GPA of 4.0 / 7.0 in a cognate discipline.

All applicants must meet the University’s English Language Admission Requirements for Students

 

Program Indicative Fees

This program is only open to domestic students.

Commonwealth Supported Places (CSPs) are available for this program.

Indicative CSP fees $3,976

Students unsuccessful in securing a CSP can study as a DTF student. 

Domestic Tuition Fees (DTF) $17,640

Commonwealth Supported Places (CSPs) for this program are limited, competitive and awarded on academic merit. There is no application process for a CSP. All students commencing in Semester 1 2021 will be ranked according to the GPA of the qualification used as the basis of admission.

For more information see: https://www.anu.edu.au/students/program-administration/fees-payments/hecs-help

Students unsuccessful in securing a Commonwealth Supported Place (CSP) can undertake the program as domestic tuition full fee (DTF) paying students.

For more information on Domestic Tuition fees click here .

Credit Granted

Credit for this program is not available.

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.

Fee Information

All students are required to pay the Services and amenities fee (SA Fee)

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

For further information on Fees and Payment please see: https://www.anu.edu.au/students/program-administration/fees-payments

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.

Rapid societal changes are being driven by the increasing ubiquity of AI and automation. Cornerstone technologies in these fields are Machine Learning and Computer Vision. This program provides students with specific expertise and knowledge in machine learning, computer vision, and robotics. For interested students, this program provides a pathway to complete the Master of Machine Learning and Computer Vision.

The Graduate Certificate of Machine Learning and Computer Vision comprises the equivalent of 0.5 years of full-time study. The program is taught online in intensive blended mode. Students are expected to be enrolled part-time and can complete the program in 1 year of part time study.

This program is available to domestic students only.

NOTE: Commonwealth Supported Places (CSPs) are available for this program.
Domestic applicants offered a place to study in this Graduate Certificate commencing their studies in 2021 will be eligible for a Commonwealth Supported Place (CSP) under the Job Ready Graduate scheme. Costs are indicated on the Admissions and Fees Tab. This fee will apply to courses completed in this Graduate Certificate within 2021 and the first half of 2022 allowing you to study part time. If you do not complete the degree by mid-2022 the remainder of your subjects will be billed on a full-fee basis from second semester (winter/spring) 2022.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Learning Outcomes

  1. Understand computer vision and visual perception problems.

  2. Be proficient in using development tools for solving computer vision and machine learning problems

  3. Present the methodologies and implementation details of an implementation in a concise and clear manner

  4. Apply learned knowledge, techniques and tools to robotics applications

Inherent Requirements

Information on inherent requirements for this program is currently not available.

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