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Mathematics×

University of Melbourne Masters Degrees in Mathematics

We have 3 University of Melbourne Masters Degrees in Mathematics

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The Masters of Science (Mathematics and Statistics) is a flexible program that allows students to study subjects across Pure Mathematics, Applied Mathematics, Mathematical Physics, Operations Research, Discrete Mathematics, Statistics, Probability and Stochastic Processes. Read more

The Masters of Science (Mathematics and Statistics) is a flexible program that allows students to study subjects across Pure Mathematics, Applied Mathematics, Mathematical Physics, Operations Research, Discrete Mathematics, Statistics, Probability and Stochastic Processes. Subjects are taught at an advanced level and form an ideal preparation for research in Mathematics and Statistics, including doctoral (PhD) studies.

Students in the Master of Science (Mathematics & Statistics) who have a weighted average mark of 80% or higher in the prerequisite undergraduate major, are eligible for consideration for the Graduate Research Program in Science. This is a five-year course of study comprising the Master of Science and the Doctor of Philosophy (PhD)Find out more.

Upon completion of this course, students should have:

  • Discovered the challenge of research in mathematics and statistics;
  • A deeper knowledge of mathematics and statistics;
  • Completed a substantial piece of research; 
  • A sound preparation for future research in mathematics or statistics.

CAREER OUTCOMES

Qualified mathematicians and statisticians are in high demand due to a national shortage. Consequently, graduates of higher level degrees in these areas often attract head-hunters and above average salaries. As a graduate, you may find a rewarding career in:

  • Quantitative analysis
  • Equities analysis
  • Statistics
  • Operations management
  • Labour supply
  • Consulting
  • Data services
  • Strategic management
  • Financial services and fund management
  • Biostatistics
  • Business development
  • Scientific programming


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Fast-track your qualification. study full-time and complete in 18 months. Learn from leading biostatisticians at the University of Melbourne and Australia-wide. Read more
  • Fast-track your qualification: study full-time and complete in 18 months
  • Learn from leading biostatisticians at the University of Melbourne and Australia-wide
  • Benefit from a hybrid approach to teaching: subjects offered both face-to-face and online
  • Attain skills for employment as a professional biostatistician in medical and public health research centres, universities, hospitals, government departments and the pharmaceutical industry.
  • Our course is accredited by the Statistical Society of Australia Inc. and is an affiliated program of the Biostatistics Collaboration of Australia.

COURSE DESCRIPTION

Biostatistics provides the concepts and analytic skills required to tackle today’s ever-increasing deluge of quantitative data in the health sciences, so that we can apply new understanding to the solution of real-world problems. It encompasses the design of experiments and the collection, summary and analysis of data, including, importantly, the interpretation and communication of data analysis to health professionals.

If you naturally ask ‘why?’, appreciate the value of scientific rigour and have an inclination towards grappling with data to address complex real-world problems, then this degree will equip you with the skills and insights needed for using data to improve health. Your professional background could be in health sciences or mathematics; this degree suits both, but you must have an aptitude for mathematics.

Our 18-month full-time (three-year part-time) course offers both on campus and online subjects, meaning you can benefit from interaction with local biostatistics experts and also have access to academic biostatisticians located throughout Australia via our affiliation with the Biostatistics Collaboration of Australia.

 Career essentials and outcomes

This degree covers all the necessary statistical theory, but the emphasis throughout is on the application and adaptation of computational analysis using real health datasets. The compulsory research project ensures that you are able to apply your skills to real-world problems. The wide-ranging elective subjects allow great flexibility in terms of biostatistics career pathways.

With a critical shortage of biostatisticians worldwide, there are ample career opportunities in a wide variety of workplaces, from medical research centres, universities and hospitals, to government departments and the pharmaceutical and medical-device manufacturing industries. This degree also provides an excellent grounding for those wishing to undertake a PhD. Our course is accredited by the Statistical Society of Australia Inc. (SSAI).



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Computational Biology is a rapidly growing field at the intersection of biology, mathematics and computer science. The Master of Computational Biology is a 300 point degree that aims to meet the educational needs of students seeking to work as computational biologists in industry, academia or government. Read more

Computational Biology is a rapidly growing field at the intersection of biology, mathematics and computer science. The Master of Computational Biology is a 300 point degree that aims to meet the educational needs of students seeking to work as computational biologists in industry, academia or government.

The course consists of:

  • Core subjects that provide theoretical and practical training in the analysis, interpretation, and management of large biological data sets;
  • Electives that provide specialist training in core areas of computational biology including bioinformatics, systems biology, biological and ecological modelling and biophysics.
  • Additional electives chosen from an array of disciplines including computer science, mathematics, statistics, biology, chemistry, physics, genetics and biochemistry;
  • A project (industry, applied or professional) and/or a research project (the option to undertake a research project is dependent on a student’s results and availability of suitable project and supervisor);

Professional skills modules which provide training in business, communications and science application.



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