Master of Science (Mathematical Sciences)

The Master of Science (Mathematical Sciences) at the University of Tasmania is a two-year degree for people who want to take mathematics seriously, either as a researcher or as a professional problem-solver. You'll study core areas such as analysis, algebra, probability and statistics, then choose units that match your interests, pure maths, applied maths, mathematical modelling, or statistics. The exact unit list changes from year to year, so confirm current offerings with the university.

This is an AQF Level 9 qualification. It's normally four semesters of full-time study, and each unit carries credit points that count toward the 200 points or so you need to graduate. Most students finish with a research project or minor thesis, which is where you learn to work on an open problem rather than a textbook exercise. Some students take a work-integrated learning unit instead, often with a government agency, a research institute, or a company that needs quantitative analysis. That placement is arranged through the university and depends on availability.

The skills you build are the ones employers actually ask for: how to set up a model, how to prove a result, how to code it up in R or Python, and how to explain it to someone who doesn't do maths. You'll also write reports and give presentations, because a result nobody understands is not much use.

This degree suits three groups. Recent maths graduates who want more depth before a PhD. Engineers, scientists, or economists who need stronger quantitative tools. And professionals in data-heavy roles who want a formal qualification. The University of Tasmania has strong links to Antarctic and marine science, agriculture, and health research, so there are real projects to join if those areas interest you. Teaching is in English, and international students need to meet the university's English requirement, IELTS Academic 6.0–6.5 overall is the common coursework-postgraduate standard. Check the official course page for the exact score and any higher requirement for your situation.

• Data analyst or data scientist, banks, insurers, retailers, and government agencies across Australia.
• Statistician, ABS, health departments, CSIRO, and clinical research organisations.
• Quantitative analyst, investment banks, superannuation funds, and fintech firms.
• Mathematical modeller, defence, environmental consulting, and mining.
• Actuarial analyst, insurance and superannuation, often with further exams.
• Research assistant or PhD candidate, universities and research institutes.
• Secondary maths teacher, after a teaching qualification, in schools around Australia.
• Operations research analyst, logistics, transport, and supply chain companies.