Master of Commerce (Decision, Risk and Financial Sciences)

The Master of Commerce (Decision, Risk and Financial Sciences) at the University of Melbourne offers advanced study into the behavioural, quantitative, and computational methods that support decision-making in business, government, and finance. The curriculum focuses on understanding the mechanisms of choice under uncertainty, risk evaluation, and statistical modelling, while applying these principles to real-world financial challenges.

This two-year master's degree is structured around a series of specialised units of study, each contributing credit points toward your qualification. Students engage with coursework covering decision science, behavioural economics, quantitative finance, and risk management, often culminating in a capstone project or minor thesis. This final project enables students to synthesise their learning and demonstrate their analytical skills in research or a practical application, often collaborating with industry or research partners in Melbourne’s business ecosystem.

Throughout the course, students can expect to develop expertise in decision analytics, rigorous risk assessment, financial modelling, and critical thinking. The University of Melbourne’s connections with industry leaders and research centres provide opportunities to engage with current case studies and, where relevant to the field, participate in work-integrated learning experiences that enhance employability.

The program is ideal for graduates from business, finance, economics, or mathematics backgrounds who wish to deepen their analytical skillset and pursue roles requiring expertise in decision sciences and risk analysis. International students benefit from Australia's 48-hour per fortnight work rights during study and may be eligible to apply for the Temporary Graduate visa (subclass 485) post-graduation. For the most up-to-date information on course content and structure, applicants should refer to the official University of Melbourne page.

• Risk Analyst in finance, insurance, or government sectors
• Decision Science Specialist in consulting firms
• Quantitative Analyst ("Quant") in investment banks
• Financial Modelling Analyst in corporate finance
• Business Intelligence Consultant
• Policy Advisor for regulatory bodies
• Data-driven roles within Australia’s banking, finance, and consultancy industries