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 specialize in artificial intelligence, human centered design and software development, or data science. 

The program culminates in a capstone individual research project requiring students to complete a substantial research thesis.

Learning Outcomes

• Professionally apply systematic computing approaches to address complex, multi-disciplinary real-world computing problems in a variety of domains.
• Synthesize and proficiently apply advanced, integrated technical knowledge from their specialization and other elective areas of study and the underpinning sciences and computational methods.
• Identify and critically evaluate current developments and emerging trends within their specialization and other elective areas of study.
• Understand the contextual factors that influence professional computing practice, and identify the potential societal, ethical, and environmental impact of computing activities.
• Communicate effectively with colleagues, other computing professionals and the broader community employing a range of communication media and tools.
• Engage in independent investigation, critical reflection and lifelong learning to continue to practice at the forefront of the discipline.
• 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.
• Demonstrate through completion of a substantial computing research project an understanding and application of research methodology and scientific writing.

Specialisations

• Artificial Intelligence
• Computer Systems
• Computational Foundations
• Data Science
• Human Centred Design and Software Development
• Machine Learning
• Professional Computing

• Academic/Official Transcripts
• Language Proficiency
• Passport or Visa Documents
• Work Experience Documents (If applicable)

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

Or 

A Bachelor degree or international equivalent in a cognate discipline 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.