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The Master of Computing is a 2-year full-time (or equivalent part-time) degree targeted to graduates without a computing background who wish to acquire a solid knowledge of computing. The program is professionally accredited by the Australian Computer Society. Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices.
Each student must select a specialisation, which provides a grouping of courses linked to a research strength of SoCo and provides a pathway for professional practice (including R&D roles or further study) in an area of interest to the student. This can be supplemented by a choice of further COMP electives. The specilisations reflect the range of research conducted at ANU: Artificial Intelligence, Machine Learning, Computer Systems, Computational Foundations, Data Science, Human Centred & Creative Computing, or Software Development. The program culminates in a capstone project: either completing an Internship or working in small groups to solve a clients problem via TechLauncher.
On completion of 48 units, students may exit with a Graduate Diploma of Computing.
Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MComp
Study Level
Masters
Study Mode
On Campus
The Master of Computing is a 2-year full-time (or equivalent part-time) degree targeted to graduates without a computing background who wish to acquire a solid knowledge of computing. The program is professionally accredited by the Australian Computer Society. Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices.
Each student must select a specialisation, which provides a grouping of courses linked to a research strength of SoCo and provides a pathway for professional practice (including R&D roles or further study) in an area of interest to the student. This can be supplemented by a choice of further COMP electives. The specilisations reflect the range of research conducted at ANU: Artificial Intelligence, Machine Learning, Computer Systems, Computational Foundations, Data Science, Human Centred & Creative Computing, or Software Development. The program culminates in a capstone project: either completing an Internship or working in small groups to solve a clients problem via TechLauncher.
On completion of 48 units, students may exit with a Graduate Diploma of Computing.
Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit.
Admission Requirements
80+
6.5+
176+
5+
64+
Applicants must present one of the following:
A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0
A Bachelor degree or international equivalent with a GPA of 4.0/7.0 and 3 years full-time equivalent years of professional experience at ANZSCO Skill Level 1 in a field related to the program.
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.
15 May 2026
2 Years
Feb
Jul
Tuition fees
International
56,120 AUD
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Computing
Acton Campus, Canberra, Australia
# =37QS Subject Rankings
24 monthsProgramme duration
56,120 AUDTuition Fee/year
15 May, 2026Application Deadline
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MComp
Study Level
Masters
Study Mode
On Campus
The Master of Computing is a 2-year full-time (or equivalent part-time) degree targeted to graduates without a computing background who wish to acquire a solid knowledge of computing. The program is professionally accredited by the Australian Computer Society. Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices.
Each student must select a specialisation, which provides a grouping of courses linked to a research strength of SoCo and provides a pathway for professional practice (including R&D roles or further study) in an area of interest to the student. This can be supplemented by a choice of further COMP electives. The specilisations reflect the range of research conducted at ANU: Artificial Intelligence, Machine Learning, Computer Systems, Computational Foundations, Data Science, Human Centred & Creative Computing, or Software Development. The program culminates in a capstone project: either completing an Internship or working in small groups to solve a clients problem via TechLauncher.
On completion of 48 units, students may exit with a Graduate Diploma of Computing.
Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MComp
Study Level
Masters
Study Mode
On Campus
The Master of Computing is a 2-year full-time (or equivalent part-time) degree targeted to graduates without a computing background who wish to acquire a solid knowledge of computing. The program is professionally accredited by the Australian Computer Society. Master of Computing graduates will develop a deep knowledge and understanding of professional software development and computing practices.
Each student must select a specialisation, which provides a grouping of courses linked to a research strength of SoCo and provides a pathway for professional practice (including R&D roles or further study) in an area of interest to the student. This can be supplemented by a choice of further COMP electives. The specilisations reflect the range of research conducted at ANU: Artificial Intelligence, Machine Learning, Computer Systems, Computational Foundations, Data Science, Human Centred & Creative Computing, or Software Development. The program culminates in a capstone project: either completing an Internship or working in small groups to solve a clients problem via TechLauncher.
On completion of 48 units, students may exit with a Graduate Diploma of Computing.
Students completing the Master of Computing with a GPA greater than 6 may transfer to the Master of Computing (Advanced) with up to 48 units of credit.
Admission Requirements
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.
Tuition fees
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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