Master of Computing (Advanced)

The Master of Computing (Advanced) at the Australian National University (ANU) is a dynamic and comprehensive postgraduate programme designed for those seeking to deepen their expertise in computer science. The course caters both to students wishing to upgrade their foundational knowledge and to those seeking to undertake high-level research or specialised roles in the rapidly evolving tech sector.

Structured over two years of full-time study, the programme consists of a series of advanced units of study that develop proficiency across core areas such as algorithms, artificial intelligence, machine learning, data science, cybersecurity, and software engineering. Each unit is assigned a set number of credit points, allowing students to tailor their course load and electives according to their interests and career objectives. The curriculum typically culminates in a substantial capstone experience or independent research thesis, equipping graduates with advanced analytical and problem-solving skills suited to both academic and professional environments.

Students benefit from ANU’s strong ties to both Australian industry and computational research. Work-integrated learning placements offer opportunities to collaborate with Canberra’s vibrant technology sector, government agencies, and leading research institutions. Graduates develop industry-relevant skills in programming, project management, critical thinking, and effective communication, preparing them for the challenges of an innovative and interconnected world.

This programme is ideal for those with a bachelor’s degree in computing or a related discipline who aspire to senior roles in technology, research, or academia, and for professionals looking to upskill or redirect their careers. Applicants should confirm specific entry, credit point requirements, and English proficiency standards through the official ANU and CRICOS programme pages.

• Software developer or engineer in Australian technology firms and consultancies
• Data scientist and machine learning engineer for finance, health, and government sectors
• Cybersecurity analyst in defence, critical infrastructure, and private enterprise
• IT project manager or technical lead in large organisations
• Research and development roles at universities or research-led companies

Graduates may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream. While studying, international students hold work rights of 48 hours per fortnight.