Program Requirements

The Master of Computing (Advanced) requires the completion of 96 units, of which:

A minimum of 48 units must come from completion of 8000-level courses

The 96 units must consist of:

36 units from completion of the following compulsory courses:

COMP6442 Software Construction 
COMP8260 Professional Practice 2
COMP6445 Computing Research Methods
COMP6331 Computer Networks
COMP6420 Introduction to Data Management, Analysis and Security
COMP6120 Software Engineering 

24 units from completion of COMP8800 Research Project

Either:

30 units from completion of further courses from the subject area COMP Computer Science, including non-COMP courses included in specialisation lists.

Or:

6 units from completion of further courses from the subject area COMP Computer Science

24 units from completion of one of the following specialisations:

Artificial Intelligence 
Data Science
Human Centred Design and Software Development

Unless otherwise stated, a course used to satisfy the requirements of one specialisation may not be double counted towards satisfying the requirements of another specialisation.

Students who do not achieve a GPA of 6 in the first 48 units of courses attempted will be transferred to the Master of Computing.

Students who do not have the approval of an identified supervisor for COMP8800 by week 1 of their final two semesters will be transferred to the Master of Computing

Specialisations

Study Options

Admission Requirements

A Bachelor degree or international equivalent with a minimum GPA of 6.0/7.0

Or a Bachelor degree or international equivalent with a GPA of 5.0/7.0, with at least 5 years of relevant work experience.

Cognate Disciplines
Computer Science, Software Engineering. Prospective students with other computing degrees, such as Information Technology or Science (with a major in computing), will be considered on a case by case basis.

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

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.

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.

Employment Opportunities

Computing jobs are currently projected to be amongst the fastest growing occupations of our time - so there is no shortage of jobs. This degree can be utilised to access wider a corporate career, as well as a path to further academic study such as a PhD.

Graduates are ideally positioned to take on challenging roles in their chosen sectors and become leaders in the ICT industry. They can work across a range of industries in a variety of roles, including Data Mining Specialist, Big Data Analyst, Human-Computer Interaction Specialist, Software Developer, Embedded systems developer, Network Architect, Systems Analyst, Computer Engineer, Advanced Software Solutions Engineer and Software Architect.

Our graduates work in many organisations including IBM, Google, Microsoft, Yahoo, Intel, Price Waterhouse Coopers, Accenture Australia, Bloomberg, National Australia Bank, Citigroup, Deloitte, Unisys and the Australian Government, as well as in academia.

It is hoped that this degree will receive professional accreditation with the Australian Computer Society from 2019. Prior to accreditation, students who require ACS professional accreditation should undertake the Master of Computing instead.

Learning Outcomes

Upon successful completion, students will have:

1. Professionally apply systematic computing approaches to address complex, multi-disciplinary real-world computing problems in a variety of domains.

2. Synthesise and proficiently apply advanced, integrated technical knowledge from their specialisation and other elective areas of study and the underpinning sciences and computational methods.

3. Identify and critically evaluate current developments and emerging trends within their specialization and other elective areas of study.

4. Understand the contextual factors that influence professional computing practice, and identify the potential societal, ethical, and environmental impact of computing activities.

5. Communicate effectively with colleagues, other computing professionals and the broader community employing a range of communication media and tools.

6. Engage in independent investigation, critical reflection and lifelong learning to continue to practice at the forefront of the discipline.

7. Work effectively and proactively within cross-cultural, multi-disciplinary teams, demonstrating autonomy, ethical conduct, expert judgement, adaptability and responsibility to achieve computing outcomes at a high standard.

8. Demonstrate through completion of a substantial computing research project an understanding and application of research methodology and scientific writing.