The Master of Computing (Advanced) is a 2- year full-time (or equivalent part-time) degree targeting students who wish to enter industry in an R&D or leadership role or who wish to pursue a PhD. 

Master of Computing (Advanced) graduates will deepen their existing knowledge and understanding of professional software development and computing practices. Students have the opportunity to participate in many cutting-edge courses and, depending upon their background and interests, are likely to choose to specialise in artificial intelligence, human centred design and software development, or data science. The program culminates in a capstone individual research project requiring students to complete a substantial research thesis.

Students may be awarded up to 48 units of credit. The number of units of credit a student receives will be determined on a case by case basis and will be influenced by their background and focus of their earlier studies.

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

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.