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RMIT University

  • 45% international / 55% domestic

PhD (Mathematical Sciences)

  • Doctorate (PhD)

Use your logical, analytical and creative problem solving skills to further develop mathematical theory and application.

Key details

Degree Type
Doctorate (PhD)
4 - 8 years full-time
Course Code
DR222, 079726J
Study Mode
In person
International Fees
$33,600 per year / $134,400 total

About this course

Use your logical, analytical and creative problem solving skills to further develop mathematical theory and application.

You will join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities, including:

  • algebraic coding theory
  • complex networks and epidemiology
  • computational fluid dynamics
  • environmental and resource modelling
  • general mathematical modelling
  • information security
  • integer programming and discrete mathematics
  • mathematical biology
  • networks, complexity and graph theory
  • numerical analysis
  • optimisation theory - algorithms and applications
Statistics and operations research
  • analysis: survival data, reliability, exploratory data, time series, sequential, decision
  • data mining
  • game theory and applications
  • nonparametric statistical techniques
  • optimisation and applications
  • statistical quality control
  • sport, bio, financial, multivariate statistics
  • supply chain, and stochastic modelling
  • queueing theory and applications

RMIT's researchers deliver high-impact and influential outcomes.Success is demonstrated through excellent performance in university rankings, such as being ranked as well above world standard in the Australian Research Council Excellence in Research for Australia (ERA) 2015 round.

RMIT has a joint relationship with the University of Twente in the Netherlands. Candidates who complete their program under this arrangement spend time studying in both Melbourne and the Netherlands and graduate with a double-badged qualification.

RMIT hosts a node of the ATN Industry Doctoral Training Centre (Mathematics and Statistics), the first doctoral training centre in Australia.

Additionally, there are collaborations with other national and international institutes, centres, groups and partners, including:

  • RMIT's Information Security and Network Science group
  • Computer Assisted Research on Mathematics and Applications (CARMA)
  • Centre for Informatics and Applied Optimization (CIAO) at Federation University

Throughout your candidature, you will be supported through:

  • An expert supervisor who will help you develop the required leadership, analytical and problem-solving qualities required to work at a world-leading level.
  • participation in high-quality professional development programs delivered by RMIT's School of Graduate Research
  • access to RMIT's extensive facilities, laboratories and equipment and those of our partners.

As a mathematics research candidate, you have the flexibility to pursue an individual topic, or contribute to one of our existing projects.

Candidates may be eligible for a range of scholarships including:

  • Australian Postgraduate Awards - funded by the Australian Government
  • PhD and Research Masters Scholarships - funded by RMIT University
  • other postgraduate research scholarships

Entry requirements

The minimum requirements for admission to a PhD program are:

  • a bachelor degree requiring at least four years of full-time study in a relevant discipline awarded with honours. The degree should include a research component comprised of a thesis, other research projects or research methodology courses that constitute at least 25% of a full-time academic year (or part-time equivalent). The applicant must have achieved at least a distinction average in the final year; or
  • a master degree that includes a research component comprised of at least 25% of a full-time academic year (or part-time equivalent) with an overall distinction average or a master degree without a research component with at least a high distinction average; or
  • evidence of appropriate academic qualifications and/or experience that satisfies the Associate Deputy Vice-Chancellor, Research Training and Development or nominee that the applicant has developed knowledge of the field of study or cognate field and the potential for research sufficient to undertake the proposed program.

At RMIT a grade of distinction represents academic achievement of 70% or higher and a high distinction is 80% or higher.

If you are a current master by research candidate, you are able to apply for a transfer to a doctor of philosophy program through the process prescribed in the RMIT Higher Degree by Research policy and processes.

Study locations

Melbourne City

Career pathways

You will be able to pursue an academic career in a university or be employed in senior leadership and management positions in government, scientific and industrial research laboratories. This qualification signifies an ability to undertake independent and informed decision making at a highly technical level.