Master of Applied Econometrics

The Master of Applied Econometrics at the University of Melbourne offers advanced training in the application of statistical and mathematical techniques to analyse economic data. Students will build expertise in econometric theory, computation, and the empirical methods used to investigate economic, social, and business phenomena. The curriculum is designed to address real-world problems using quantitative methods, enabling graduates to interpret and communicate complex data-driven insights.

Delivered over two years, this master's programme is structured around semesters and delivered through a series of units of study, each carrying assigned credit points that collectively satisfy degree requirements. Coursework often includes core subjects in econometric methods, electives in advanced quantitative topics, and may culminate in a capstone project or supervised research thesis, providing the opportunity to integrate learning and conduct independent analysis. Where applicable in the field, work-integrated learning may offer students exposure to practical industry projects.

Graduates will develop strong skills in data analysis, applied statistics, forecasting, and computational techniques, alongside experience in software relevant to econometrics. The programme suits graduates from economics, mathematics, statistics, or related areas who wish to enhance their technical skillset for analytical careers or further research. In the Australian context, the University of Melbourne maintains strong connections with the finance industry, government departments, and research agencies, adding significant value to employment prospects.

International students should confirm entry and English proficiency requirements on the official course page. While enrolled, students are permitted to work up to 48 hours per fortnight and may be eligible for the Temporary Graduate visa (subclass 485) post-study work stream upon completion.

• Econometrician in finance, banking, or consulting firms
• Quantitative analyst with investment organisations or research agencies
• Policy analyst in government departments or regulatory authorities
• Data scientist within commercial, research, or public sectors
• Research roles at Australian universities and economic research centres