As one of Australia’s Group of Eight universities, the University of Sydney continues to be a popular choice for postgraduate students worldwide, thanks to its outstanding academic reputation, strong research capabilities, and excellent employability. It is ranked 25th globally in the 2026 QS World University Rankings, and its Computer Science subject ranked 36th globally in the 2025 QS World University Rankings by Subject. More notably, the university ranks 3rd in Australia and 58th globally in the 2026 THE Global University Employability Rankings, demonstrating a strong alignment between its talent development and industry needs.
In postgraduate programs in Computer Science and Information Technology, the University of Sydney offers several well-defined and practice-oriented master’s programs, with the two most representative being the Master of Information Technology (Software Engineering) and the Master of Data Science.

The Master of Information Technology (Software Engineering) is a 1.5-year program that focuses on developing capabilities throughout the entire software lifecycle—covering strategic planning, systems analysis, architecture design, development and implementation, to quality assurance and ongoing maintenance. The curriculum emphasizes cutting-edge technology applications, with core content including cloud computing, mobile computing, model-based software engineering, application frameworks, software quality engineering, usability engineering, and web application development. Students are required to complete at least 3 core courses, 3 major courses, and 2 IT-related courses, and may choose up to 2 foundational courses to form a solid yet flexible knowledge structure. Applicants must have an undergraduate background in a related field, with specific requirements for their university: students from 985/211 universities need a GPA of 75%, while applicants from non-985/211 universities need 80%.
Another highly sought-after program is the Master of Data Science (1 year), which leverages the University of Sydney’s new engineering hardware resources built with over $200 million in investment, including world-class laboratories, cutting-edge research equipment, and customized learning spaces. The curriculum balances theoretical depth with practical tools, comprising four core compulsory courses: Principles of Data Science, Machine Learning and Data Mining, Visualization Analysis, and Computer Data Modeling. It also offers a wealth of elective modules, such as specialized electives in data science, non-technical extension courses, and the Capstone series of practical projects (including A/B group team projects and individual research topics), helping students complete a closed-loop training process from knowledge input to output. The application requirements also reflect academic rigor: applicants are required to hold a Bachelor of Science degree with honors in Quantitative Science, and the GPA standard is consistent with the aforementioned software engineering program—75% for 985/211 universities and 80% for non-985/211 universities.