Pre-2022 Master of Machine Learning

The Master of Machine Learning at the University of Adelaide focuses on both the theory and practical application of machine learning techniques. Over two years of full-time study, students engage in coursework that explores deep learning, modelling, data analytics, computer vision, and natural language processing. Adelaide's strong research strengths in artificial intelligence offer students the chance to work with staff engaged in local and global projects.

This degree typically includes a mix of core and elective units of study, with each subject contributing to an overall credit point total required for graduation (students should refer to the official curriculum for precise structure). Advanced topics, hands-on labs, and project work are part of the experience, preparing students to implement, evaluate, and improve real-world machine learning solutions.

Students usually complete a capstone project or research thesis in the final stages of the course, often collaborating with industry or research partners in Adelaide and across Australia. This exposure allows them to develop skills in critical analysis, solution design, and teamwork, qualities valued in Australian tech and research industries.

The Master of Machine Learning is suited to graduates from computer science, engineering, mathematics, statistics, and related backgrounds wanting to build careers in AI and machine learning. International applicants must evidence English proficiency, which can be shown by tests like IELTS, TOEFL, PTE Academic, or the university's English programmes, with standards set out by the Department of Home Affairs for visa purposes. Students on an Australian student visa can work up to 48 hours per fortnight during study and may be eligible to apply for the Temporary Graduate visa (subclass 485) after completing the degree. Confirm all details on the university's official page.

• Machine learning engineer roles in technology and software companies
• Data scientist positions across finance, health, government, and resources sectors
• AI research assistantships in Australian universities and research institutes
• Analyst and consultant roles in consulting firms and enterprise IT providers
• Software development jobs focusing on intelligent systems and automation