Master of Philosophy (Mathematics)

The Master of Philosophy (Mathematics) at Curtin University is a two-year postgraduate research degree based in Perth. It focuses on conducting original research in mathematics under the guidance of experienced supervisors. Students choose a specific area of mathematical enquiry, working on a research thesis throughout the course, which is the main component and the basis for evaluation and completion.

This master's degree typically involves structured research training during the first phase, which may include advanced seminars, literature reviews, and methodological preparation. Students are expected to critically engage with mathematical theories and techniques, culminating in a substantial thesis that contributes to current knowledge in the discipline. Progress is monitored through formal milestones and regular supervisory meetings, in line with the structure common to Australian MPhil programmes.

The course aims to build advanced skills in research design, problem solving, data analysis, and scientific communication. Students deepen their theoretical understanding, develop project management skills, and gain experience presenting mathematical findings. The MPhil suits those interested in pursuing doctoral study, future academic work, or research-centric roles across public and private sectors, including those transitioning from an honours or relevant bachelor's degree.

Australian qualifications like this sit at Level 9 of the Australian Qualifications Framework (AQF). Curtin's mathematics research has links to local industry, universities, and research agencies, which may benefit students interested in practical applications or collaborative projects. International students may be eligible for the Temporary Graduate visa (subclass 485) upon graduation and can work up to 48 hours per fortnight during study. For the most up-to-date course structure and admission details, check the official Curtin University and CRICOS websites.

• Mathematics researcher (universities, research institutes)
• Data scientist or analyst (finance, technology, consulting, government)
• Quantitative modeller (insurance, banking, energy)
• Academic pathway (progressing to PhD and lecturing roles)
• Policy analyst (public sector, think tanks)
• Actuarial analyst (insurance and superannuation sectors)