Program Requirements
The Master of Machine Learning and Computer Vision requires the completion of 96 units.
The 96 units must consist of:
A minimum of 24 units must come from completion of 8000-level courses.
6 units from completion of a programming course from the following list:
COMP6710 Structured Programming
COMP6730 Programming for Scientists
6 units from completion of a professional practice course from the following list:
COMP6250 Professional Practice: Holistic Thinking and Communication
COMP8260 Professional Practice: Responsible Innovation and Leadership
24 units from completion of courses from the following list:
COMP6528 Computer Vision
COMP6670 Introduction to Machine Learning
COMP8536 Advanced Topics in Deep Learning for Computer Vision
COMP8539 Advanced Topics in Computer Vision
COMP8600 Statistical Machine Learning
COMP8650 Advanced Topics in Machine Learning
A further 24 units from completion of Computer Vision and Machine Learning courses in the following list:
COMP6261 Information Theory
COMP6262 Logic
COMP6320 Artificial Intelligence
COMP6445* Computing Research Methods
COMP6490 Document Analysis
COMP6528 Computer Vision
COMP6670 Introduction to Machine Learning
COMP8535 Engineering Data Analytics
COMP8536 Advanced Topics in Deep Learning for Computer Vision
COMP8539 Advanced Topics in Computer Vision
COMP8600 Statistical Machine Learning
COMP8610 Computer Graphics
COMP8620 Advanced Topics in Artificial Intelligence
COMP8650 Advanced Topics in Machine Learning
COMP8691 Optimisation
ENGN6627 Robotics
12 units from completion of a research project or industry internship in the following list*:
COMP8715 Advanced Computing Team Project
COMP8830 Computing Internship
OR
An independent study course (COMP8800- Research Project* for 24 units) with permission of the Program Convenor and meeting a GPA requirement.
The additional 12 units will count towards the University electives.
*This option requires students to get course conveners approval to complete COMP6445.
24 units of University electives.
Admission Requirements
Applicants must present one of the following:
- 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
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:
- 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.
Further information: English language admission requirements and post-admission support
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.
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.
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.
Indicative fees
- Annual indicative fee for domestic students
- $39,925.00
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
- $50,760.00
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees
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.
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.
Career Options
ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.
We have graduated remarkable people from every part of our continent, our region and all walks of life.
Learning Outcomes
- Propose and develop novel solutions based on current research literature and state-of-the-art computer vision techniques.
- Research and apply development tools for solving computer vision and machine learning problems.
- Interpret and present the methodologies and implementation details?relevant to computer vision and machine learning technologies?with audience-?tailored communications.
- Conduct Machine Learning and/or Computer Vision research (applied or pure) project workflows consistent with current practice.
- Synthesize advanced knowledge, techniques and tools for computer vision and machine learning applications.
Inherent Requirements
Information on inherent requirement is currently not available for this program.
