phd in statistics in australia

PhD in Statistics

The PhD program in Statistics at the Research School of Finance, Actuarial Studies and Statistics (RSFAS) equips graduates with knowledge of developments in theoretical and applied statistics. The PhD program draws upon the diverse expertise of academic staff across the University. The School’s PhD candidates will undertake independent research on a specialised research topic.

The program is focused on developing candidates for a career in academia, government or industry. Positions in government or industry may include researchers in scientific, medical or health research organisations; researchers or analysts within government agencies, such as the Australian Bureau of Statistics and Australian Institute of Health and Welfare, or departments of Health, Agriculture, Education, Finance and Treasury; researchers or quantitative data analysts within the corporate sector, including banking, finance and insurance, pharmaceutical, and energy and mining sectors; and management and statistical consultants.

CRICOS #: 048345A

Duration: 2 to 4 years full time (4 to 8 years part time)

Before you submit an application for entry to the program, you should:

• ensure you meet the admission requirements outlined below
• identify potential supervisors – that is, one or two statistics academics at ANU who conduct research in your area of interest.

You can find information on researchers and their research areas in the  ANU researchers database  and on the  RSFAS Statistics faculty  page.

While other ANU schools may recommend contacting potential supervisors before submitting an application,  this is not required  for entry into RSFAS’s PhD programs. Instead, you only need to list the name(s) of potential supervisors in your online application form.

Potential supervisors cannot guarantee entry into the PhD program. Admission will depend on the strength of your application relative to others in the pool.

After you’ve completed the steps above, you can proceed with an  online application .

Application deadlines

The first semester of the ANU academic year starts in February, and the second semester starts in July. While all applications for first semester entry must be submitted  before 31 October,  international applicants wishing to be considered for an  ANU scholarship  should submit their applications  before   31 August .

To be considered for a scholarship, your application must be accompanied by all the supporting documents listed below, including the referee reports. Request for referee reports are triggered and sent to your nominated referees at the time of submission of program application. It is thus important that you submit your application in advance (2-3 weeks) to allow time for your referees to provide their reports prior to the scholarship deadline.

If you’re currently completing an academic degree and haven’t yet received your final results and transcript, you should still submit all available documents before the deadline, and forward remaining results once you receive them. We won’t make a final decision on your application until we’ve received all the required documents.

The admission requirements for the PhD program in Statistics reflect the advanced knowledge that candidates will need to undertake the coursework component of the degree, and the research experience and skills needed to successfully undertake and complete the research thesis.

The minimum qualification requirement for admission to the PhD program in Statistics is:

• an Australian Bachelor degree (or equivalent) with First Class Honours or Second Class Honours Division A in statistics (or a related discipline), or
• another qualification (e.g. a Master degree) with a substantial research thesis component that the RSFAS HDR (higher degree by research) committee is satisfied is equivalent or superior to a degree mentioned in (a), or
• a combination of qualifications and professional experience that the RSFAS HDR committee is satisfied is equivalent or superior to a degree mentioned in (a).

Admission to the PhD program in Statistics is competitive and we can only admit a limited number of applicants each year. Meeting the minimum entry requirements does not guarantee you a place in the program.

If you don’t have sufficient research experience for entry into the PhD program, you might consider applying to the MPhil program . If you’d like to consider this pathway, contact the RSFAS HDR convenor for more information.

English language requirements

All applicants must satisfy the University’s  English language admission requirements . An international applicant who is not a native English speaker may satisfy these requirements by submitting evidence of an  IELTS  overall score of at least 6.5, and with no component less than 6.0, or a paper-based  TOEFL  score of at least 570, with at least 4.5 in the essay component.

Application and supporting documentation

You must submit your application online via the  ANU Application Manager .

In addition to the standard information required in the online application, you must submit the following supporting documents as part of your application:

• a one-page statement of purpose outlining your motivation to undertake a PhD in Statistics at ANU
• a research proposal – see details below, as well as these guidelines on how to  prepare a persuasive research proposal
• copies of written research work, e.g. honours or Master thesis, research project or published works
• official  TOEFL  or  IELTS  results (where applicable) to demonstrate that you satisfy the University’s  English language requirements .

Research proposal

The online application requires you to submit a research proposal. The proposal should set out an original research idea, provide an introduction or background to your research idea, clearly set out the objectives, data required and expected research methods, and explain why the research is important and the contribution it will make to the discipline. Among other things, the research proposal will require you to demonstrate an understanding of the key literature in your chosen topic area. As a guide, you should aim for between 1,500 and 2,000 words, including a list of key references.

The RSFAS HDR committee uses the research proposal as an indicator to assess the quality and originality of your ideas and your skills in critical thinking. Note that the research proposal does not restrict you to this field of study should you be admitted to the PhD program.

Offers of admission

The RSFAS HDR committee will review all complete applications submitted by the relevant deadline.

If your application is short-listed, you may be required to attend an interview (face to face or online).

We may send you an offer of admission if you satisfy the eligibility criteria and your area of interest matches those of RSFAS academics with supervisory capacity. However, since admission is competitive and supervisory capacity is limited, we won’t send any offers of admission  after the relevant application deadline , irrespective of the date when you submit your application.

The PhD program in Statistics consists of two components –  coursework  and  research .

Candidates undertake the research component after successfully completing the required coursework.

PhD coursework component

PhD candidates may be required to complete up to six semester-length courses during the first year of the program. Required coursework must be completed to a satisfactory level for candidates to progress to the research component. The specific coursework requirements will depend on each candidate’s background and will be determined through discussion with the HDR convenor and the chair of the candidate’s supervisory panel.

Compulsory courses for the PhD in Statistics are:

• STAT8027  Statistical Inference
• STAT8056  Advanced Mathematical Statistics
• STAT7040  Statistical Learning
• STAT7018  Stochastic Modelling

Candidates select up to two electives from graduate-level courses in statistics (or suitable advanced courses from other disciplines) in consultation with the chair of the supervisory panel.

PhD research component

Following the successful completion of coursework, PhD candidates undertake specialised research training and independent research.

Research supervisory panel

When a PhD candidate is admitted to the program, a provisional supervisor is appointed. The provisional supervisor has the responsibility of overseeing the candidate’s progress until a supervisory panel is chosen. During the first year, it is important that candidates start developing their research topic ideas by consulting with their provisional supervisor and other academic staff within RSFAS.

Either in a candidate’s first year of study, or soon after completion of their coursework, a supervisory panel will be chosen. The role of the panel is to assist, advise, and provide support and encouragement to the candidate for a timely and successful completion of the research thesis. The HDR convenor will determine the composition of the supervisory panel in consultation with the candidate.

RSFAS statistics seminar program

The RSFAS statistics seminar program consists of regular seminars presented by national and international researchers. PhD candidates are expected to attend and actively participate in the seminars throughout their candidature.

Research integrity training

Within three to six months of enrolment, all PhD candidates must complete the  Research Integrity Training  and pass the exam. Completion of this course and exam is a compulsory milestone for all PhD candidates.

Thesis proposal review

During the second year, candidates must submit a thesis proposal for review to their supervisory panel and present their proposal as a seminar to the School. The purpose of the thesis proposal review is to assess the originality, significance, adequacy and achievability of the candidate’s thesis plan.

The proposal includes a description of the research to be undertaken in the thesis, and a summary of the thesis structure and time plan.

Successful completion of the thesis proposal review (as determined by the Delegated Authority following consultation with the HDR convenor and supervisory panel) is required to continue in the PhD program.

Annual progress review

It is University policy that each candidate’s progress be reviewed periodically. In each year of their program, PhD candidates are required to submit an  annual plan and report  as a basis for periodic progress review. This document provides details on work completed by the candidate since the previous review, current progress, and any problems that may impact their research. It also outlines the coursework and research the candidate intends to undertake in the following 12 months.

Oral presentation

In their final year, candidates are required to give a final  oral presentation  on their research, usually three months before submitting their thesis.

Read more about  research candidate milestones .

Thesis submission and examination

The culmination of the PhD in Statistics is a written thesis which, upon completion, is submitted for examination. The thesis is examined by examiners who are experts in the relevant field.

For more information on the process, visit our page on  submitting a thesis .

For information about scholarships available to HDR candidates, visit our page on  scholarships and fees .

Read details of some of our alumni’s recent  job placements .

See our list of current  Statistics PhD students .

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Submit your application along with your research proposal, CV, academic referee reports, academic transcripts and other supporting documents such as identification and evidence of residency status. Applications are made via the University’s online application portal.

Postgraduate program

The School of Mathematics and Statistics offers Higher Degree by Research (HDR) programs leading to the degrees of Doctor of Philosophy (Science) and Master of Philosophy (Science).

The School also offers the Master of Mathematical Sciences degree, and the units of study STAT5002 and STAT5003 form part of the Master of Information Technology .

NEW in 2024 In 2024 the Master of Data Analytics will be offered for the first time. This fully online course offers a breadth of data analytics knowledge, covering a multitude of qualitative and quantitative data research methods and their applications across industries, including business, health care, architecture, and political science.

For current and newly enrolled postgraduate students

Students should read the "School of Mathematics and Statistics higher degree by research procedures" document.

Please note that HDR candidatures and examinations of theses are managed by the HDR Administration Centre (HDRAC). To find detailed information on important matters such as:

• enrolment, research periods and census dates,
• compulsory HDR units of study: Work, Health and Safety (WHS), Responsible Research Practice, and Human Ethics,
• supervisory arrangements, in particular, requesting to change a supervisor,
• Faculty milestones: research plan, research seminar, first year report, intermediate research presentation, final research report,
• research progress: progress plan, first-year integrity check, annual progress review (APR),
• financial support for travel to attend conferences, workshops, and summer/winter schools through the Postgraduate Research Support Scheme (PRSS),
• travel insurance policy,
• requesting leave of absence or suspension from your research,
• recommencing of your studies after suspension,
• applying for an extension of candidature,
• preparation of your thesis and thesis composition,
• thesis submission procedure,
• examination process and outcomes,
• final thesis lodgement and graduation ceremony.

Degree entry requirements: Doctor of Philosophy (Science)

Applicants for a PhD (Science) program MUST hold a Master's degree or a Bachelor's degree with First Class Honours from the University of Sydney or an equivalent qualification from another university or institution. Further information about applications for admission, applications for scholarship, fees and deadlines for domestic and international students can be found on the Sydney Courses Doctor of Philosophy webpage.

Degree entry requirements: Master of Philosophy (Science)

Applicants for a MPhil (Science) program should hold a Bachelor's degree or an equivalent qualification. Further information about applications for admission, applications for scholarship, fees and deadlines for domestic and international students can be found on the Sydney Courses Master of Philosophy webpage.

Degree entry requirements: Graduate Diploma in Science

The Graduate Diploma in Science provides an alternate entry qualification for PhD. It is identical in content to the Honours (4th year) course and is available to candidates who are not eligible to enrol in that course, usually because of their background in Mathematics or Statistics from outside the University of Sydney. Graduate Diploma is a full fee-paying course. Further information about applications and fees can be found on the Sydney Courses Graduate Diploma in Science webpage.

Scholarships

• domestic students have to submit two separate applications: the PhD/MPhil application and the scholarship application,
• international students only click the relevant box in their PhD/MPhil application.

Study abroad and student exchange

Study abroad and student exchange are the two main program options for students enrolled at international universities and looking to study at the University of Sydney as part of their degree.

• As an exchange student you remain enrolled full time at your home institution while you attend the University of Sydney. While you are in Sydney you will continue to pay your usual tuition fees and other student fees to your home institution. A student from the University of Sydney will do the same in reverse, and the result is an exchange of students and places.
• Study abroad is a separate program from student exchange and involves a student enrolling and paying fees directly to the University of Sydney. There is no reciprocal exchange agreement.

Enquiries about postgraduate study in the School should be directed to the School's Coordinator of Postgraduate Studies Associate Professor Zsuzsanna Dancso by email [email protected] .

Mathematics and Statistics at Sydney

The School of Mathematics and Statistics offers a postgraduate program that is varied and flexible, catering for students of many different backgrounds. The School supports a policy of active research and insists on the highest standards of academic achievement. At present, the School consists of four research groups: Applied Mathematics, Mathematical Statistics, Nonlinear Analysis and Pure Mathematics. The Pure Mathematics group is further divided into three subgroups: algebra, computational algebra, and analysis, geometry & topology.

The School holds regular seminars, workshops and conferences that ensure that its members stay abreast of latest developments. It also supports an active program of long term and short term visits by distinguished international academics.

The School has all the facilities of a well established and progressive teaching and research institution, including a modern library and an extensive computer network of workstations. In addition the network supports a number of high-speed processors and colour graphics systems. A wide variety of software packages is available including Magma (developed in the School), Spida, S-plus, Reduce, Mathematica and Matlab.

The School is proud of its postgraduate students. Our research students are a valuable resource and the School is committed to providing them with excellent research facilities and office space in which to work. Some financial aid is available to students to allow them to attend relevant conferences and workshops. Further support is offered in the form of part-time teaching, assignment and examination marking.

Sydney and the University

Sydney is the oldest and largest city in Australia, and the capital of New South Wales. The city has a population of over four million and operates as an international centre for commerce, finance and the arts for the Asia-Pacific region. Sydney is well known for its great natural scenic beauty, beaches and climate, as well as its high quality of life.

The University of Sydney, established in 1850, is the oldest of all the universities in Australia. It has nine colleges of residence for students and visiting scholars. It has two theatres, an art gallery, several museums and a thriving cultural life in all facets of the arts. For the physically active there is a wide range of sports facilities, including a covered full-size olympic pool, tennis and squash courts, two sporting ovals, gymnasiums, sports instructors and physiotherapists. Every effort is also made to accommodate the physically impaired.

The diversity of courses and degrees the University offers is unequalled in the country. It provides a lively and challenging environment in which to pursue all aspects of academic life.

The Australian academic year begins in late February. It is divided into two semesters with a winter break of about three weeks from mid-June through to mid-July. Coursework programs finish at the end of November.

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PhD (Mathematical Sciences)

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

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If you are unsure or hold a different visa type, please contact  Study@RMIT for more information.

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RMIT considers you an international student if you are:

• intending to study on a student visa, or
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If you are unsure or  hold a different visa type, please contact  Study@RMIT for more information.

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Research Training Scheme

See admissions

AU$37,440 (2025 annual)

Join an active research community and work with academics, peers and partner organisations who have demonstrated research success in a range of specialities.

Some of these specialities include:

Mathematics

• algebraic coding theory
• complex networks and epidemiology
• general mathematical modelling
• information security
• integer programming and discrete mathematics
• mathematical biology
• networks, complexity and graph theory
• numerical optimisation
• optimisation theory – algorithms and applications.

Statistics and operations research

• analysis: high dimensional data, functional data, survival data, reliability, exploratory data, time series, sequential, decision
• data mining
• experimental design
• nonparametric statistical techniques
• statistical quality control
• sport, bio, financial, multivariate statistics
• stochastic modelling
• stochastic processes, queueing theory and applications
• mathematical statistics and applied probability.  

Research collaborations

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, graduating 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.

Research support

Throughout your candidature, you will be supported through:

• expert supervision
• 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.

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
• PhD scholarships in computer science and IT - funded by the School of Science
• other postgraduate research scholarships.

How you will learn

Research at rmit, time spent on research.

Full-time candidates are expected to commit at least four days per week (or at least two days per week for part-time candidates) to their research. The academic year is 48 weeks.

Regular contact with your supervisor

A schedule of meetings with your supervisor/s must be established to assess progress against milestones and timely completion.

Resources, facilities and support

You will have access to the Learning Hub and other online and digital resources through the myRMIT student portal.

You will be part of an active research community and have access to resources and workshops to help you succeed.

School of Graduate Research

The School of Graduate Research works with Schools to further support candidates during their postgraduate research degree.

RMIT University is committed to providing you with an education that strongly links formal learning with professional or vocational practice.

Learning outcomes

The knowledge and skills you will acquire throughout this degree and how they can be applied in your career are described in the  learning outcomes .

Electives and course plan

You will complete this program under academic supervision.

The PhD program is structured to enable you to:

• complete a compulsory research methods course
• receive training in research integrity and ethics
• select studies in qualitative and quantitative research techniques
• complete a thesis/project which demonstrates your original contribution to the field and your ability to communicate complex or original research for peers and the community to an international standard

Research integrity modules

You are required to complete the online modules:

• Research integrity
• Copyright and intellectual property

Research methods for sciences

Research methods courses step you through the literature review and preparing your research proposal for confirmation of candidature. They are taught in large discipline groups.

You may need to complete an ethics module to ensure your research is ethical and responsible.

Research techniques

You may elect to take (where relevant) electives in qualitative or quantitative research techniques once data collection has begun. You can use your own data to explore different research analysis techniques. Your supervisor will help you decide when you should take these electives.

Co-curricular activities

You are encouraged to participate in activities offered with the university, college and school according to your needs and interests.

This PhD may be undertaken in a project, thesis by publication or thesis mode. Prospective candidates should discuss these modes of submission with their potential supervisor/s.

Course structure

Choose a plan below to find out more about the subjects you will study and the course structure.

*The maximum duration of the PhD program is 4 years full-time and 8 years part-time. However, candidates are expected to complete their program within 3-4 years full-time equivalent and 6-8 years part-time equivalent.

*The maximum duration of the PhD program is 4 years full-time. However, candidates are expected to complete their program within 3-4 years full-time equivalent.

Note: International student visa holders can only study full-time.

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.

Minimum requirements for admission

Prerequisites, selection tasks.

The minimum requirements for admission to a PhD program are:

• A bachelor's degree requiring at least four (4) 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 subjects 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's 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's 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 .

These entrance requirements are the minimum academic standard you must meet in order to be eligible to apply for the program. You will need to complete a selection task as part of your application.

A selection process will be conducted in conjunction with the School and supervisors you nominate.

For further information on the steps you need to take to apply for a research program see  How to apply – Research programs .

English language requirements

Research proposal and supervisor.

You must attach a substantive research proposal that is 2 to 5 pages in length which articulates the intent, significance and originality of the proposed topic using the following headings:

a) title / topic b) research questions to be investigated in the context of existing research/literature in the area c) significance and impact of the research d) methodology / research tasks required to undertake the research e) particular needs (e.g. resources, facilities, fieldwork or equipment that are necessary for your proposed research program, if applicable).

Your application will not be considered if you have not discussed your research topic with a proposed senior and associate supervisor or joint senior supervisors. You must provide the names of the academic staff in the school you have applied to and with whom you have discussed your proposed research.

To study this course you will need to complete one of the following English proficiency tests:

• IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
• TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
• Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
• Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit  English language requirements and equivalency information .

Don't meet the English language test scores? Complete an English for Academic Purposes (EAP) Advanced Plus Certificate at  RMIT University Pathways (RMIT UP) .

You can gain entry to this program from a range of RMIT four-year  Bachelor and Honours degrees  or  Postgraduate  or Masters by Research programs.

Fee summary

Fee information for masters by research and doctorate (PhD) programs.

If you are an Australian citizen, Australian permanent resident or New Zealand citizen you may be eligible for a Research Training Scheme (RTS) place where your tuition costs are funded by the Commonwealth Government under the RTS and you have full exemption from tuition fees.

Acceptance in an RTS place is very competitive and places are granted on the condition that you meet annual progress requirements and complete within the allotted time for your program and your status as a part-time or full-time candidate.

This means a maximum of 2 years for a full-time Masters by Research or 4 years for a PhD (or the equivalent part-time).

Contact the School of Graduate Research for more information.

The  student services and amenities fee (SSAF)  is used to maintain and enhance services and amenities that improve your experience as an RMIT student.

In addition to the SSAF there may be  other expenses  associated with your program.

Income tax deductions

Candidates may be eligible to apply for income tax deductions for education expenses linked to their employment. See the  Australian Taxation Office (ATO) website  for more information.

RMIT awards more than 2000 scholarships every year to recognise academic achievement and assist students from a variety of backgrounds.

International applicants

• Fees information  for international candidates looking to study at RMIT's Melbourne campuses.
• PhD  and  masters by research  fees for international candidates studying offshore. 

Other costs

Important fee information.

Find out more details about  how fees are calculated  and the expected annual increase.

Applying for refunds

Find information on how to apply for a  refund  as a continuing international student.

Frequently Asked Questions (FAQs)

Looking for answers or more general information.

Use our Frequently Asked Questions to learn about the application process and its equity access schemes, find out how to accept or defer your offer or request a leave of absence, discover information about your fees, refunds and scholarships, and explore the various student support and advocacy services, as well as how to find out more about your preferred program, and more.

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RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business.

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School of Mathematics and Statistics

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Why study mathematics and statistics?

Studying mathematics and statistics will equip you with powerful analytical and problem-solving skills to understand the world. You’ll be taught by world renowned experts at the top ranked Australian university for this area of study, solving the challenges of a data-driven 21st century.

Whether you’re curious about predictive modelling or patterns that determine how the universe works, this universal language leads to rewarding careers in start-ups, health care, government, finance, engineering and beyond. Learn about about the possibilities, or hear what our students and alumni enjoyed most about their studies and where their degree has taken them.

Meet our students and alumni Careers in maths

Study options

• Undergraduate studies

We offer three majors as part of the Bachelor of Science, as well as a concurrent diploma for students interested in pursuing mathematics and statistics alongside another major.

• Masters, diplomas and certificates

A graduate degree in mathematics and statistics can prepare you for entry into the workforce with specialist skills or provide a pathway to graduate research.

PhD degrees

If you've completed an Honours or a Masters course with a significant research component, you're eligible to go on to a Doctor of Philosophy (PhD) or other graduate research program.

Undergraduate course advice and resources

The Mathematics and Statistics Learning Centre (MSLC) offers course advice and preparatory resources for current and potential students. If you're having trouble working out what you want to study or how to plan your course, visit them online or in person.

Course planning support Student resources

Scholarships, awards and prizes

We are proud to offer diverse scholarships, awards and prizes to recognise the academic achievements of students studying mathematics and statistics. Available at  undergraduate , Masters and PhD levels, students will generally be automatically considered for a scholarship with a small selection requiring application.

The University of Melbourne also offers an impressive scholarship program to new and current students.

All scholarships

Our research themes

Applied mathematics.

The Applied Mathematics Group has interests across the fields of colloid science, medicine, chemical engineering and materials processing.

• Data science

Data science combines aspects of statistics, computer science, and mathematics in order to organise, analyse, and extract knowledge from data sets.

Discrete mathematics

Discrete mathematics is the study of mathematical structures that are by nature discrete rather than continuous. It includes combinatorics and graph theory.

Learning and teaching innovation

This group fosters innovations in learning and teaching for tertiary mathematics and statistics.

• Mathematical biology

Mathematical, statistical and computational methods are crucial in many areas of modern biological research. Conversely technological advances in biology allow more data, often of a novel type or at a finer resolution, to be collected resulting in new challenges that are motivating research in mathematics, statistics and computational methods.

• Mathematical physics

Mathematical Physics is the study of the mathematics associated with models of the physical world.

• Operations research

Operations Research (OR) provides a scientific approach to decision making. It involves formulating mathematical models of these problems, and developing mathematical tools to obtain solutions.

• Pure mathematics

Pure math is the study of the intrinsic concepts and structural properties underlying modern mathematics. Its purpose is to search for a deeper understanding and an expanded knowledge of mathematics itself.

Statistics is the science of collecting, organising and interpreting data. Mathematical descriptions of the data collection processes and the statistical analysis are used to determine accurate statistical methods.

• Stochastic processes

This group studies a variety of areas, from the theory of branching processes to applications such as stochastic models of the stock market.

Learn more about our research

• Find a potential supervisor

Explore a comprehensive list of potential postgraduate supervisors and the research areas they work in.

Partnerships

We host and collaborate with a number of institutes, networks and research centres.

Upcoming seminars based on research by staff at the School of Mathematics and Statistics.

Research within the School of Mathematics and Statistics covers areas of pure and applied mathematics and statistics. A broad school with an international reputation, we have research foci in Algebra, Continuum Modelling, Discrete Mathematics, Geometry and Topology, Operations Research, Mathematical Biology, Mathematical Physics, Stochastic Processes, Statistics, and Data Science.

Explore our research prospectus to find out what projects our leading academics are investigating.

Download the prospectus  (PDF 8.1 MB)

• Academic Staff

Teaching and research staff in the School of Mathematics and Statistics

• Professional Staff

Administrative, technical and support staff in the School of Mathematics and Statistics.

• Honorary Staff

Honorary appointees in the School of Mathematics and Statistics.

• Postgraduate students

Students undertaking PhD, MPhil and MSc qualifications in the School of Mathematics and Statistics.

• Upcoming events

Seminar series

View upcoming seminars and subscribe to seminar notifications.

• Algebraic Geometry and K-Theory
• Analysis and PDE
• Discrete structures and algorithms
• Learning and teaching
• Moduli Spaces
• Number Theory
• Statistics seminars
• Random Matrix Theory
• Representation Theory

Our initiatives

School outreach.

We work with primary and secondary schools to run a range of popular mathematics and statistics programs, including incursions, competitions and professional development opportunities for teachers.

Women in Maths and Stats

Every year Women in Mathematics Day is celebrated on the 12th of May. Get to know some of the women in the School of Mathematics and Statistics and learn about their journeys.

Vacation Scholarships Program

Providing selected students with a supervised introduction to research in mathematics or statistics.

• Student Awards

These awards are granted to high-achieving students, in recognition of their academic success and overall performance in specific areas of their course. Students are nominated for these awards by the University teaching staff.

The School hosts many seminars, with speakers ranging from PhD students on the cusp of completing their studies to world-renowned experts in their fields.

Statistical and consulting services

The Statistical Consulting Centre (SCC) provides statistical and consulting services to business, industry, government and the academic world, bringing a wealth of knowledge to real-world issues in a practical, robust manner, as well as courses in statistical methods. The SCC's courses are open to anyone, and participants come from academia, business, industry and government.

Consulting services Statistical courses

International engagement

Melbourne-peking virtual research hub for mathematics and statistics.

This research hub promotes collaboration between The University of Melbourne and Peking University in the fields of teaching and research in mathematics and statistics.

Find out more

Connecting with alumni and students

We are passionate about sustaining a sense of community amongst our students and alumni, served by our student societies and alumni network.

Student societies Alumni information

Support Mathematics and Statistics

Our generous benefactors make it possible for us to recognise the achievements of our talented students, support development of early career researchers and make surprising fundamental research discoveries. This builds the foundation for our future stars, continuing excellence in the mathematical sciences to benefit its broader application in just about every aspect of life. We invite you to be one of our valued philanthropists to support our people and work.

Support our work

The University of Melbourne's School of Mathematics and Statistics is a world-leading school of mathematics and statistics. The School has achieved this status through the high quality of its research and teaching programs. We offer a wide range of subjects to undergraduate and postgraduate students and are involved in all aspects of community life that impacts on the discipline and its applications.

Featured content

• Message from Head of School

We are a broad School with an international reputation covering areas of pure and applied mathematics and statistics, read more on what School of Mathematics & Statistics has to offer.

Leadership Team

View our academics who help to lead and coordinate School activities and committees.

Equity and diversity

The School of Mathematics and Statistics is strongly committed to providing support and resources to create an equitable environment for all members of the community, including students at all levels and visitors.

Get in touch with us if you have any general enquires or seeking information and guidance for academics.

• John Sader elected Fellow of the Australian Academy of Science
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• 3 tips for Science undergraduates joining the workforce
• Melbourne technology boosts effort to map every cell in human body
• Exceptional Talent Scholarship
• Professor David Balding featured in The Age
• Heroines of mathematics
• Matilda to the Rescue
• Weighing Up Evidence in Criminal Courts and at a King's Burial Site
• Professor Anthony Guttmann honoured with Order of Australia
• COVID-19 modelling released from Doherty Institute
• ARC Future Fellowships announced for Maths & Stats
• Open Day at Maths and Stats
• Watch the Course Information Session
• Women in Geometry, Analysis and Topology
• New mathematics leads to innovative solutions
• Forecasting landslides from space
• Mathematician and role model elected Fellow of the Australian Academy of Science
• Using mathematical modelling to fight malaria
• Professor Michael Stumpf awarded prestigious ARC Australian Laureate Fellowship
• OPTIMA ARC Training Centre aims to transform industry through optimisation
• Academics join 2022 Superstars of STEM cohort
• Applications open for undergraduate and postgraduate awards
• Software developed by School of Mathematics and Statistics researcher shortlisted in prestigious Eureka Prizes
• New video series spotlights mathematical biology
• Science academics rank as world-leaders for research citations
• University confers Honorary Doctorate on mathematician
• Translating big data into better health thanks to major grant
• Problem-solving on a global stage: Students excel in international maths competition
• Avoidance, confusion, solitude: whales react to rising noise pollution
• Mathematicians moved by dance, karate and building a better world
• Congratulations to Science community members for King’s Birthday Honours
• ARC awards over $6 million to University of Melbourne researchers
• Expectations and obligations
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• ARC Industrial Transformation Training Centre in Optimisation Technologies, Integrated Methodologies and Applications
• Australian Mathematical Sciences Institute
• Mathematics and Statistics Research Competition
• Professional development for maths teachers
• Micro Mathematicians
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• Current Students

Apply for Doctor of Philosophy - Mathematics and Statistics

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Mathematics and Statistics

Doctorate by research.

This offering version is phasing out and no longer taking applications. You may be able to apply for a later version.

• Qualification Doctor of Philosophy - Mathematics and Statistics

The Commonwealth Register of Institutions and Courses for Overseas Students (CRICOS) Code indicates a registered program offered to international students studying in Australia on student visas.

As a doctoral research degree candidate, you will uncover new knowledge either by the discovery of new facts, the formulation of theories or the innovative reinterpretation of known data and established ideas. Your research will use an in-depth understanding of theories and concepts to develop practical solutions for real-world problems.

A higher degree by research differs from other postgraduate degrees in that at least two-thirds of the study program must involve research. Although some coursework units may be required, the main part of your work will be in the form of a thesis written under the guidance of a supervisor and associate supervisor(s). Your thesis must, in the opinion of the examiners, be a substantial original contribution to the knowledge or understanding of any field through the discovery of new facts, the formulation of theories or the innovative reinterpretation of known data and established ideas. It must also demonstrate your capacity to conceive, design and complete independent research.

Throughout your studies, our faculties will provide you with access to equipment and resources to support your research, and financial assistance to attend appropriate local and international conferences.

Please refer to the handbook for additional course overview information. 

Why research at Curtin

Curtin is widely recognised for applied research firmly focused on solving real-world problems. Underpinning our research endeavours are strong partnerships with industry, business and government, which result in outcomes that greatly benefit the broader community locally, nationally and globally. Our international reputation for being a strong partner in industry-driven research ensures our graduates enjoy outstanding opportunities to become innovators in their fields.

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Professional recognition

Depending on your area of speciality, you may be eligible for membership of various professional organisations upon graduation.

Admission criteria

What you need in order to get into this course. There are different pathway options depending on your level of work and education experience.

Entry requirements for Australian and New Zealand students

Applicants are required to demonstrate a capacity to carry out independent research and have adequate training and ability to pursue the proposed research course. Generally, this may be a master degree or bachelor degree with first or upper second class honours. See the Section 3.2.1 of the  HDR admission policy  for detailed information.

English requirements

Curtin requires all applicants to demonstrate proficiency in English. Specific English requirements for this course are outlined in the IELTS table below.

You may demonstrate English proficiency using the following tests and qualifications .

IELTS Academic (International English Language Testing System)

Overall band score

Use your experience to get credit towards your degree

Finish your course sooner with credit for your previous study or work experience.

Fees and charges

Fee information is not available for this course at this time. Find estimated course fees .

Looking for more detail on the course structure?

The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information.

The information on this page may be subject to change. In particular, Curtin University may change the content, method or location of delivery or tuition fees of courses.

While Curtin uses reasonable efforts to ensure that the information provided on this page is accurate and up to date, errors and omissions sometimes occur. Curtin makes no warranty, representation or undertaking (expressed or implied) nor does it assume any legal liability (direct or indirect) for the accuracy, completeness or usefulness of any information.

View courses information disclaimer .

• Curtin course code:  DR-MATHST
• CRICOS code:  043955D
• Last updated on:  22 August 2024

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Business specialisations available in the BBA:

• Accounting for Business Decisions Specialisation
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Bachelor of Innovation Specialisations

Specialisations available from Humanities, Science and the Centre for Aboriginal Studies:

• Biological Diversity Minor
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Mathematics and statistics

Algebra and structures, analysis and probability, computation and algorithms, data and modelling, dynamics and symmetry, society and education, geometry and topology.

We are one of the largest mathematical sciences schools in Australia, and in the past three years alone, our researchers have secured more than $12 million in funding from the Australian Research Council (ARC) and the National Health and Medical Research Council to fund 30 separate research projects, and have published more than 400 refereed journal articles as well as eight books.

We engage in extensive ongoing research collaborations with leading researchers in a number of countries including Canada, China, France, Germany, Japan, Russia, the United Kingdom and the United States.

We developed Magma , a world-leading computational algebra and number theory package that is used both in industry and in many branches of pure and applied mathematics.

Among our academic staff are a Fellow of the Royal Society, six Fellows of the Australian Academy of Science, one Georgina Sweet Australian Laureate Fellow, four ARC Future Fellows and six ARC Discovery Early Career researchers.

Our researchers are involved in the following research centres and institutes:

• University of Sydney Mathematical Research Institute
• Charles Perkins Centre
• Brain and Mind Centre
• Sydney Nano

Find a researcher