Master of Computing

The Master of Computing at the Australian National University in Canberra is a two-year postgraduate degree designed for those seeking advanced knowledge and skills in computer science. The programme is structured around semesters, with students required to complete a set of core and elective units of study totalling a specified number of credit points, as outlined by the university. The curriculum encompasses areas such as algorithms, programming, artificial intelligence, databases, cybersecurity, machine learning, software engineering, and data analytics. This approach ensures a robust theoretical foundation and up-to-date practical expertise that aligns with current industry expectations.

Students benefit from the research-focused environment of ANU, which is noted for its links to the Australian technology sector and strong emphasis on innovation. In addition to classroom and laboratory-based learning, the course may include work-integrated learning opportunities, capstone projects, or industry placements, enabling students to apply theory to real-world challenges. Such experiences are invaluable for developing the problem-solving, project management, and technical skills that are in demand across leading Australian industries.

The programme suits graduates from computing and related backgrounds, as well as professionals seeking to upskill or change careers to IT. Skills gained include software development, system analysis, project management, research methodology, and effective communication in technical environments. Many units may be selected to allow for specialisation in areas such as data science, software engineering, or cybersecurity, depending on the student's interests and career goals.

International applicants must meet ANU's English proficiency requirements, with a minimum IELTS Academic score of 6.5, or equivalent TOEFL iBT, PTE Academic, or Cambridge C1 Advanced results. Students in Australia can work up to 48 hours per fortnight during study, and graduates may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. Always confirm admission criteria, course content, and accreditation details on the official programme page.

• Software Developer in IT companies or consultancies
• Data Scientist in finance, government, or research settings
• Cybersecurity Analyst in critical infrastructure organisations
• Systems Analyst for public agencies or private enterprise
• Project Manager in technology-driven enterprises
• AI or Machine Learning Engineer in innovation hubs
• IT Consultant for business and digital transformation
• Research roles in academia, CSIRO, or technology-focused institutes