phd maths melbourne

• Programs and Courses

Doctor of Philosophy, Mathematical Sciences

A single four year research award offered by the Mathematical Sciences Institute

• Length 4 year full-time
• Minimum 192 Units
• Academic plan 9650XPHD
• Post Nominal PhD Math Sc
• CRICOS code 048376E
• Mathematical Sciences
• AsPr Bai-Ling Wang
• Admission & Fees
• Introduction

Employment Opportunities

Career options, learning outcomes, inherent requirements, further information.

• Additional Information

Admission Requirements

Scholarships.

• Indicative Fees

Program Requirements

The Doctor of Philosophy requires completion of a research project that demonstrates a significant and original contribution to knowledge in the field of study. This includes the submission and successful examination of a thesis of up to 100,000 words.

Completion of a standard program for a Doctor of Philosophy requires a minimum of 96 units and a maximum of 192 units of enrolment in the research component.

At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.

Admission to a Doctor of Philosophy is also subject to supervisory capacity, availability of appropriate infrastructure and resources, and approval from the relevant Delegated Authority within the Academic College.

Applicants must:

1.      Present a relevant Bachelor Honours degree or international equivalent

• With a minimum grade of Second Class Honours – Upper (H2A); 
• or an equivalent combination of qualifications, research publications and/or professional experience related to the field of study.

2.        Have the written approval of an identified supervisor for the research project/thesis.

3.       Provide:

•  A research proposal outlining your intended research, (applicants should seek guidance from the potential supervisor regarding length and content);
•  Original evidence of all relevant academic qualifications and graduation documentation (with English translation as appropriate);
•  An up-to-date CV including academic qualifications, work experience and research publications;
•  At least two academic referee reports.

4.      All applicants must meet the University’s English Language Admission Requirements for Students .

Indicative fees

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees

Fee Information

All students are required to pay the  Services and amenities fee  (SA Fee)

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

For further information on Fees and Payment please see: https://www.anu.edu.au/students/program-administration/fees-payments

ANU offers a wide range of  scholarships  to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the  Scholarships  website.

The Australian National University provides PhD candidates with a vibrant research community and outstanding program support. When selecting a research program, an institution's reputation is everything. ANU is one of the world's leading universities, and the smart choice for your research program.

As a PhD candidate you will work with increased independence, under the direction of a supervisory panel of experts in the field. Your research will make an original and important contribution to human knowledge, research and development.

PhD graduates in the Mathematical Sciences are valued by a range of employers for their demonstrated creativity, innovation, independence, research and problem-solving abilities, and organisational skills. A PhD in Mathematical Sciences can lead to a whole new world of opportunities. For example, you may:

• become a researcher in a university, industry, or government research organisation such as CSIRO, Australian Nuclear Science and Technology Organisation, Geoscience Australia, Australian Signal Directorate, Defence Science and Technology Group;
• work in areas requiring quantitative skills such as finance, environmental modelling, quantitative biology, data science, computation;
• gain access to a wide range of careers, not just in academic research.

ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.

We have graduated remarkable people from every part of our continent, our region and all walks of life.

Career options following the Doctor of Philosophy include many opportunities in addition to an academic path. Alumni of the Doctor of Philosophy from the Mathematical Sciences Institute may go on to careers such as data mining, data analysis, meteorology, quantitative analysis, finance, actuary, defence, fusion science, and industrial research.

critically analyse, synthesise and evaluate complex information in a specific area of the discipline relevant to their research;

formulate a research plan and undertake independent research to address specific research questions that make a substantial contribution to knowledge;

ensure that research is carried out with integrity and actively promote responsible conduct of research;

develop, adapt and implement research methodologies relevant to their research questions;

demonstrate expert technical and/or specialist skills relevant to their research focus;

communicate effectively to specialist and non-specialist audiences in both written and oral form;

demonstrate appropriate collegial and professional behaviour, and safe working practices as required by their specific research focus.

No specific inherent requirements have been identified for this program.

The completion of a Doctor of Philosophy normally takes between three and four years of full-time study or part-time equivalent and is conducted in English. The award is made on the basis of independent research resulting in a detailed thesis comprising original written work, normally of up to 100,000 words, that is independently assessed by no fewer than two external examiners of international standing. 

All candidates are required to complete Research Integrity Training. In addition, candidates will also be able to participate in the College of Science Career Development Framework and demonstrate broader skills in research training, teaching and learning, industry and innovation, policy and governance; and opportunities to develop other transferable skills.

More information on how to apply can be found at https://www.anu.edu.au/study/apply/anu-postgraduate-research-domestic-and-international-applications .

There are a number of scholarships available to ANU HDR candidates to assist with the cost of their studies; however, in general first class honours might be required for consideration for a scholarship. Scholarships are highly competitive and not all applicants that receive an offer of admission to a HDR program will be successful in receiving a scholarship.

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Mathematical Sciences Institute ANU College of Science

• Doctor of Philosophy

Why do a PhD in Mathematical Sciences?

PhD graduates in the Mathematical Sciences are valued by a range of employers for their demonstrated creativity, innovation, independence, research and problem-solving abilities, and organisational skills. A PhD in Mathematical Sciences can lead to a whole new world of opportunities. For example, you may:

• become an educator or science communicator
• become a researcher in a university, industry or government research organisation
• work in areas requiring quantitative skills such as finance or computation
• gain access to a wide range of careers, not just in academic research 

Why do a PhD in Mathematical Sciences at MSI?

ANU Mathematical Sciences Institute is internationally recognised for its vibrant and innovative research and teaching in the Mathematical Sciences. Details of recent achievements of staff at ANU can be found on the  MSI news page .

• #1 for Natural Sciences (QS 2022) in Australia
• 2 to 4 years full time
• World-class facilities
• #1 in Australia for graduate employability ( Times Higher Education )

Structure of a PhD

At ANU the examinable component of a PhD in Mathematical Sciences consists solely of research presented in the form of a substantial thesis, usually after three to four years for full-time students, or about double this for part-timer students. The length of a PhD course is nominally three years, and this is reflected in the timeframe of most PhD scholarships.

Each PhD student has a supervisory panel consisting of a primary supervisor and at least two other staff members. The role of the supervisor and panel is to help you find a suitable research project, direct you to relevant background mathematics, and provide a formal ‘sounding board’ for you while you pursue your research.

Students are required to submit annual reports of their progress to the University's central administration, and after 18 months each student must present a mid-term review. This normally takes the form of a seminar presentation of the research area, followed by a discussion with the supervisory panel. This a convenient time to meet with the entire panel and discuss the progress of your research project. Students must present a final seminar on their PhD research before submitting their thesis for examination.

Daily life as a PhD student

How you spend your time as a PhD student will change rather dramatically over the course of the three years. Initially you will probably identify the broad area of mathematics that you are interested in, and spend quite a while ‘getting up to speed’ with that subject by attending courses and reading textbooks and research papers. Guidance from your supervisor will help make this process as efficient as possible.

After 3-6 months you will begin to formulate a research project to pursue for the remainder of the course. It will likely take another few months of reading in more detail about the specific area of mathematics concerned before you are ready to embark on genuine research.

A large portion of study time is dedicated to researching your chosen problem. The intention is that you make a 'substantial and original contribution' to the subject. This sounds daunting at first, but in practice your supervisor and panel will help you find an area where this is a practical proposition.

During this time you will be free to attend any courses and seminars offered that interest you, and to generally pursue ideas which seem valuable. To help stay on track during this time, most students arrange a regular meeting with their primary supervisor. During these meetings progress can be discussed and any difficulties sorted out before they become too great.

In addition to your supervisor and panel, you will meet many members of staff with wide ranging expertise, and benefit from the MSI visitors program. This will allow you many opportunities to discuss mathematics with people from a variety of disciplines.

There is no formal teaching requirement for PhD candidates. However, it is often possible for students to obtain part-time work as tutors for Mathematical Sciences Institute undergraduate courses. This can provide valuable teaching experience, and provides extra money to ease the burden of living on a PhD scholarship. It also offers a welcome change of pace from life as a research student.

Sometime in the third year of your studies you will start writing up the results of your research into a thesis. This can be a lengthy process often taking up to six months. Once completed, the thesis is submitted and the process is in the hands of the examiners.

Research Topics

For an idea of the kind of research currently being pursued in MSI, and to find projects you may be interested in, please visit the  research groups page  and explore the links to the individual research groups.  

Your actual PhD project will be determined in consultation with your supervisor.

Fees & scholarships

Please visit the Programs and Courses website for information about fees.

Scholarships

Value: $34,000 per annum

Value: Full Tuition fees for up to 3.5 years

Domestic students enrolled in a postgraduate research program are awarded an Australian Government Research Training Program (AGRTP) Fee Offset Scholarship. View frequently asked questions here

How to apply

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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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Research Training Scheme

See admissions

AU$36,480 (2024 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

You are required to complete:

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 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 .

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 English Worldwide .

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.

The annual tuition fee for 2024 is AU$36,480.

The total indicative tuition fee for 2024 commencement is AU$151,680.

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.

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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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Melbourne International Engagement Awards (MIEA)

Melbourne International Engagement Awards are available to fund Peking University students to pursue PhD in the School of Mathematics and Statistics at the University of Melbourne. These prestigious scholarships provide full fee remissions (worth approximately AUD$35,000 in 2016) and annual living stipends equivalent to the Australian Postgraduate Award rate (worth AUD$26,288 in 2016) for up to 3.5 years. MIEAs also provide single cover health insurance and a relocation allowance of up to AUD$3,000.

To be eligible for the MIEA scholarship, a recipient must

• be enrolled in or have completed a master degree, or a fourth year undergraduate student with an outstanding academic record, in the School of Mathematical Sciences at Peking University,
• have not completed a PhD, and
• be expected to commence PhD study at the University of Melbourne in the year when the scholarship is awarded.

Selection is based on academic merit of applicants. Applicants must meet the PhD entry requirements  of the University of Melbourne, including the English language requirement, though conditional offers may be made subject to meeting the requirements in the foreseeable future.

Those who are interested in the MIEA scholarship are welcome to contact Dr. Wei Lin  or Dr. Xiang Fu  to express their interest.

The deadline for expressions of interest is Friday of the first teaching week in the Spring Semester at Peking University in the year when the scholarships are awarded.

Melbourne Research Scholarship (MRS)

The Melbourne Research Scholarship is awarded to high achieving domestic and international students to undertake a research higher degree (PhD or master by research) at the University of Melbourne.

Australian Government Research Training Program Scholarship (RTP)

The Australian Government Research Training Program Scholarship is available to high achieving domestic and international students undertaking a research higher degree (PhD or master by research) at the University of Melbourne.

China Scholarship Council – University of Melbourne PhD Scholarship

The China Scholarship Council (CSC) – University of Melbourne PhD Scholarship is awarded to Chinese citizens wishing to undertake a Doctor of Philosophy (PhD) degree at the University of Melbourne.

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Melbourne Mathematical Biology

The Melbourne Mathematical Biology (MMB) Group is a part of the School of Mathematics and Statistics at The University of Melbourne. Our group is passionate about using advanced mathematical, statistical and computational methods to model and analyse complex biological systems across seven themes . We support several event series, including the Melbourne Mathematical Biology seminar series . In 2021, we hosted the Special Emphasis Year on “Biological Dynamics: Mathematics of Cellular Systems to Epidemics” which supported events such as the Mathematical Biology Special Interest Group Annual Meeting .

These systems span across many scales, including micro scale, where we can determine how individual bacteria sense their local environment to search for nutrients:

To the continental scale, where we can observe how antimalarial drug resistance is predicted to spread throughout populations:

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Mathematics, Science and Technology Education Group

The Mathematics, Science & Technology Education Group advances knowledge of the teaching and learning of mathematics, science and technologies and enhances teacher capability in this domain.

Upcoming Events

• Thursday 27 June 2024 2pm - 4pm SoTL Group Meeting 3 Event
• Thursday 21 November 2024 2pm - 4pm SoTL Group Meeting 4 Event

Our experts teach mathematics, science and technology education subjects, supervise research higher degree students, and conduct their own original and ground-breaking research.

Prof Jan van Driel

Prof Wee Tiong Seah

Dr Victoria Millar

Dr Lynda Ball

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Kristen Hebden

A/Prof Robyn Pierce

Robyn Pierce is a Principal Fellow at the University of Melbourne. She initially taught mathematics in secondary schools and then at university level with a focus on first year mathematics, statistics and critical thinking with data. Working with students from a wide range of disciplines highlighted the challenges of teaching and learning mathematics. A move to Education presented opportunities to work with teachers in post graduate courses on the use of technology for teaching mathematics, numeracy for life, school and work, probability and statistics at junior and senior secondary levels and research supervisions. Robyn has conducted mathematics education research involving primary, secondary and tertiary students as well as preservice and practicing teachers. This has covered a range of issues as diverse as: mathematics anxiety, algebraic insight, effective use of computer algebra systems, engaging students through real-world problems and IT, teachers’ professional statistical

Dr Hilary Hollingsworth

Dr Vicki Steinle

Vicki's PhD involved the design of a test to diagnose children’s misconceptions, which is currently used for research and by practitioners. This research involved a cross-sequential study which combined both longitudinal and cross-sectional methods in an attempt to both shorten the length of the research and minimise developmental assumptions. This research has provided Vicki with a deep understanding of suitable methodologies for probing children’s thinking and expertise in longitudinal analysis of data. Vicki has extensive expertise in research methods, for example, papers on Rasch analysis, relative risk and odds ratios. She has been involved in the ARC-funded SMART project which provides teachers with online tests that they can use to formatively assess their students before they teach a certain topic.

Dr Gail FitzSimons

I have been an Honorary member of staff since 2010. During that period I have • prepared and conducted a post-graduate numeracy unit and given other lectures and public seminars at this level. • acted as a critical friend for graduate students and visiting scholars in the preparation of journal articles and doctoral seminars. • conducted literature reviews for members of staff as part of their project work. • worked to support staff and students in implenting a culturally sensitive numeracy program at the Academy of Sport, Health and Recreation [ASHE] in Shepparton. • prepared monthly lists of new journal alerts for mathematics and science. • edited the 2018 Mathematical Association of Victoria annual conference proceedings & co-edited 2015 proceedings with Jill Vincent. • given plenary lectures and run workshops at international conferences and published journal articles

Dr Sarah Buckley

Dr Sarah Buckley is a Senior Research Fellow in the Educational Research, Policy and Development Division at the Australian Council for Educational Research (ACER). Sarah’s area of expertise is in mathematics engagement and motivation. She has led several initiatives designed to address mathematics anxiety in schools and in preservice teachers, build mathematical resilience and improve valuing of maths in the Mathematics Anxiety and Engagement Strategy (MAES) at ACER. Sarah has also worked on numerous projects investigating equity and engagement in STEM including a recent project for CSIRO exploring ways to improve young female students’ engagement in digital technology. She has also worked on international projects aimed at improving international educational systems. Publications: See https://works.bepress.com/sarah_buckley/

The Mathematics, Science & Technology Education Group contributes to the Faculty of Education Master of Teaching and Master of Education programs. We also provide a wide range of tailored, bespoke professional learning services.

Teacher capacity

Building teacher capacity for teaching mathematics, science and technology in schools and early childhood services

Research-informed practices

Providing research-informed practices for improving school and early childhood mathematics, science and technology

Student thinking

Developing understanding of student thinking in mathematics, science and technology

Providing leadership for building capacity in school mathematics, science and technology

Our approach

We do this through providing high quality research-based education for all of those involved in the teaching of early childhood, primary and secondary school mathematics, science and technology through pre-service graduate courses and in-service professional learning programs.

Our academics supervise research higher degree candidates undertaking Master of Education, Doctor of Education and Doctor of Philosophy degrees. As a group, we aim to contribute to the improvement of mathematics, science and technology education by working with local schools, state and national education authorities, international bodies, professional associations and other national and international colleagues/researchers.

Contact us to develop a professional program suited to your school or early childhood service’s needs.

We actively contribute to the improvement of mathematics, science and technology education by working with local schools and early childhood services, state and national education authorities, international bodies, professional associations and other researchers to conduct and publish research.

Third Wave Lab

The Third Wave Project was set up in 2008 to bring together researchers and educators who are interested in developing and using what stakeholders value and find important in school mathematics education. Currently, we are a consortium of research teams from 22 different jurisdictions from around the world, and already supporting ten different research studies.

The ICCR (International Community for Classroom Research) Hub brings together researchers investigating classroom teaching and learning in both the physical and virtual space.

The Research Hub builds on the international network established by the late Professor David Clarke, which consists of researchers from more than 20 countries involved in video-based classroom research. Through a supportive and collegial community involving scholarly exchanges and activities, the Hub works to develop the research capacity of its affiliates.The ICCR Hub will hold a range of activities including research group meetings, lectures, reciprocal institutional visits, joint symposia and joint grant applications.

Find out more

Members of the Mathematics, Science and Technology Education Group have produced a range of materials for use by teachers, teacher candidates, graduate students and researchers including the online resources below.

SMART-tests

The SMART-tests system (Specific Mathematics Assessments that Reveal Thinking) provides online diagnostic mathematics tests for middle-school students, and reports to their teachers about their current understanding. This information assists teachers to meet the learning needs of their students.

Teaching Number in Middle Years

Professional learning resources for teachers on the subjects of arithmetic, mental and written computation, and decimals.

Statistical literacy using assessment data-online tutorials

Online tutorials for teachers on how to effectively read NAPLAN assessment data.

Northern Territory Preschool STEM Games

The STEM Games are a series of four resources have been designed to provide teachers with examples of age appropriate play based activities. The games strengthen opportunities for preschool teachers to respond to the diverse STEM competencies and language that children demonstrate as they transition into preschool, planning for current and future learning, and enacting the planning cycle.

Girls’ Future – Our Future

This report was commissioned by the Invergowrie Foundation and produced by a team of academics from The University of Melbourne and Deakin University. MSTEG staff members Victoria Millar and Jan van Driel were members of this team. The report explores issues that impact on girls’ identification with, and sense of belonging in STEM, and influence their participation in STEM pathways.

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• Bachelor of Science
• Majors, Minors and Specialisations

Mathematics and Statistics

Bachelor of Science Major Year: 2022

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• Majors, minors and specialisations

Contact information

Coordinator.

Dr Marcy Robertson

Email:  marcy.robertson@unimelb.edu.au

A Mathematics and Statistics major will provide essential knowledge and transferable skills for students entering careers or research in the following areas: General sciences, Agriculture and environmental sciences, Banking, Finance and Commerce, Engineering, Government, Education, Industry, e.g. logistics/project manager, market research consultant, IT and computing, and Medicine.

NOTE - Students undertaking this major may not be concurrently admitted to the Diploma in Mathematical Sciences ( D-MATHSC ).

Intended learning outcomes

On completion of this major, students should be able to demonstrate:

• Ability to construct logical, clearly presented and justified arguments
• Ability to formulate and model practical and abstract problems in mathematics and/or statistics
• Mastery of a broad range of mathematics and/or statistics methods, with a particular emphasis in one of four specialisations
• Ability to analyse complex problems, then choose and apply appropriate mathematical/statistical tools in finding a solution
• Appreciation of the universal utility of mathematics and statistics within all fields of science
• Appreciation that mathematics and statistics are disciplines based on rigorous proofs and logical deduction
• Understanding of the role of mathematics and/or statistics in other fields
• Ability to communicate clearly, effectively and precisely about mathematics and/or statistics ideas
• Ability to clearly communicate abstract mathematical/statistical ideas to an audience with a heterogeneous background in sciences
• Understanding of the applicability of mathematics and statistics in addressing current issues facing humankind
• An ability to work effectively and responsibly both as an individual and as part of a team.

Last updated: 3 May 2024

Personalise your experience

Graduate Coursework

Master of Science (Mathematics and Statistics)

• Arrow-right #3 in Australia for Mathematics
• Course code:   MC-SCIMAT

Course overview

Mathematics and statistics provide powerful tools for understanding the natural world and human endeavours, ranging from health care to logistics to economics.

This coursework masters degree, which includes a major research project, will take your expertise in mathematics and statistics to an advanced level.

The Master of Science (Mathematics and Statistics) provides excellent preparation for a specialist role in the workforce or graduate research in the field.

Customise the course to suit your interests

The course is designed with flexibility in mind. Choose from one of five areas to specialise in:

• Applied Mathematics and Mathematical Biology
• Operations Research and Industrial Optimisation
• Pure Mathematics
• Statistics and Stochastic Processes
• Mathematical Physics and Physical Combinatorics

In addition to compulsory subjects, you’ll be able to select electives from a broad range of advanced subjects – both from your chosen specialty and from others.

You can even choose to take advanced subjects in physics, computer science or bioinformatics.

In demand globally

Qualified mathematicians and statisticians are in high demand due to a national shortage. High-level skills in this field are sought after in business, government and research organisations.

Develop your research skills

You’ll leave the course with a major research project to feature in your CV. The research project will put your skills to the test, working with one of our expert research staff on genuine mathematical or statistical problems.

If a career in research is your goal, the Master of Science (Mathematics and Statistics) is the ideal preparation for PhD studies in the field.

Related study areas

• Data and analytics
• Information technology and computer science
• Mathematics and statistics

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• The Application Process

MACSYS Research Fellow, Inference-Based Modelling

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Job no:  0062659 Location:  Parkville Role type:  Full-time; Fixed-term for 3 years Faculty:  Faculty of Science   School:  School of Mathematics and Statistics, MACSYS Salary:  Level A - $83,468 - $113,262 p.a. plus 17% super

• Join the ARC Centre for the Mathematical Analysis of Cellular Systems
• Apply statistical methods to analyse biological data.
• Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!

About the Role

Join the Australian Research Council Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS), the world's largest focused research initiative in mathematical biology.

As a highly motivated post-doctoral fellow, you will collaborate with multidisciplinary teams of mathematical, computational, and biological scientists to develop and apply statistical and machine learning methods for analyzing complex and large-scale biological data.

This position offers the opportunity to contribute to the establishment of mathematical whole cell models (WCMs) and to tackle fundamental biological problems within a diverse and inclusive research environment.

Your responsibilities will include:

• Under the guidance and support of Senior Academic staff conduct internationally competitive research, resulting in publications in high-impact journals
• Contribute to teaching, training, scientific mentoring and supervision of students.
• Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
• Actively participate in research seminars and conferences to disseminate research findings as opportunities arise
• Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant

Who We Are Looking For

You will demonstrate a strong aptitude for research, supported by a solid publication record in relevant fields, aligning with your experience and available opportunities. Additionally, you should exhibit a clear commitment and eagerness to develop a successful academic research career trajectory.

You will also have:

• Completion (or near completion) of a PhD in mathematics, statistics, computational biology, theoretical physics or a related discipline
• Demonstrated experience in the mathematical analysis and simulation of stochastic dynamical systems
• Experience in statistical inference of e.g. biological data and/or dynamical systems
• Experience in model selection
• Experience with scientific computing

For further information regarding responsibilities and requirements, please refer to the attached PD.

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check. This is essential to guarantee a secure environment for all individuals at the University. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.

Please note: Visa sponsorship is available for this position . 

Your New Team – School of Mathematics and Statistics

The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.

The ARC Centre for the Mathematical Analysis of Cellular Systems aims to deliver the mathematics required to compute life. The Centre will deliver innovation in computational and mathematical biology and establish in silico biology alongside in vivo and in vitro biology. These models will allow us to understand the complexity of life at the cellular level and enable new ways of combining diverse and heterogenous data. This will allow us to understand the mechanisms underlying cellular behaviour, and to apply rational design engineering methods in order to control the dynamics of biological systems.

What We Offer You!

In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out  our benefits  page!

About the University of Melbourne

We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via  our website  and stay connected with our stories and people on  LinkedIn .

Be Yourself

The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity.  First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit  our Diversity and Inclusion  page.

We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require reasonable adjustments, please contact the employee listed on the first page of the Position Description found below, with an email containing your name and contact details for a confidential discussion. Please ensure your email is titled "Reasonable Adjustments Request".

Aboriginal and Torres Strait Islander Applicants

We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.

For further information, including our 2023-2027 Indigenous strategy please visit - https://about.unimelb.edu.au/reconciliation/murmuk-djerring

If you feel this role is right for you, please apply with the following documents: 

• Cover Letter outlining your interest and experience
• The responses against the Selection Criteria^ (found in the Position Description)

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to  http://about.unimelb.edu.au/careers/selection-criteria

If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at  [email protected] , ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.

If you have any particular questions regarding the job please follow the details listed on the Position Description.

We have a similar role that might interest you. Please review the link below for more information: 

https://jobs.unimelb.edu.au/en/job/917200/macsys-research-fellow-biological-data-science

Position Description

Applications close:  14 Jul 2024 11:55 PM AUS Eastern Standard Time

• Department of Mathematics >
• News & Events >
• Badzioch wins SUNY Chancellor’s Award for Excellence in Teaching

Badzioch wins SUNY Chancellor’s Award for Excellence in Teaching

Bernard Badzioch has won the 2024 SUNY Chancellor’s Award for Excellence in Teaching. Dr. Badzioch was recognized for consistently demonstrating superior teaching at the undergraduate and graduate level. As an innovative educator, students remark that Dr. Badzioch has the “rare skill, particularly amongst mathematicians,” to understand even their most incomprehensible questions and answer in a way that makes them feel good for having asked it. Read UBNow.

SUNY Chancellor’s Award for Excellence in Teaching

Suny press release (excerpt).

Bernard Badzioch  is an innovative educator whose class materials alone are lauded and sought after by both students and faculty alike.

Since joining the Department of Mathematics in 2004, Badzioch has taught 17 courses, from freshman-level to advanced graduate courses, and earned consistently high evaluation scores. He has also been an adviser for six PhD students and one master’s student.

His course materials, which include lecture notes, websites, self-made YouTube videos and online homework exercises, are “prized among students for their lucidity.” Even Badzioch’s colleagues routinely use them due to their “clarity, completeness, rigor … and elegance.”

In addition to sharing classroom resources, Badzioch is credited with creating an environment where students feel comfortable voicing questions and discussing concepts. Students say he has the “rare skill, particularly amongst mathematicians,” to understand even their most incomprehensible questions and answer in a way that makes them feel good for having asked it. 

Badzioch served as the department’s director of undergraduate studies for five years and currently serves as its associate chair.

Faculty Profile

Bernard badzioch.

Research Interests

Homotopy Theory

Contact Information

108 Mathematics Building UB North Campus

Buffalo NY, 14260-2900

Phone: (716) 645-8798

[email protected]

Related Links

PhD, University of Notre Dame

Selected Publications

• K1 of twisted rings of polynomials. Download pdf . K-Theory 16:29-34, 1999.
• Recognition principle for generalized Eilenberg-Mac Lane Spaces . Progress in Mathematics 196:21–26, Birkhauser 2001.
• Algebraic theories in homotopy theory . Annals of Mathematics 155(3):895-913, 2002.
• From Γ-spaces to algebraic theories . Transactions of the AMS 357(5):1779-1799, 2005.
• (w. M. Feshbach)  A note on localizations of perfect groups . Proceedings of the AMS 133(5):693-697, 2005.
• (w. K. Chung and A. Voronov)  The canonical delooping machine. Download pdf . Journal of Pure and Applied Algebra 208(2):531-540, 2007.
• (w. W. Dorabiala)  Additivity for the parametrized topological Euler characteristic and Reidemeister torsion . K-Theory 38(1):1–22, 2007.
• (with W. Dorabiala and B. Williams)  Smooth parametrized torsion, a manifold approach.  Advances in Mathematics 221(2):660-680, 2009.
• (with W. Dorabiala)  A note on localizations of mapping spaces . Israel Journal of Mathematics 177, 2010.
• (with W. Dorabiala, J. Klein, and B. Williams)  Equivalence of higher torsion invariants . Advances in Mathematics 226(3):2192-2232, 2011.

When the PhD path leads to career struggles

A doctoral degree is a major commitment. Think carefully.

I appreciated reading Kara Miller’s The Big Idea column “PhD: Pretty heavily disappointed” (Business, May 22), about people with doctoral degrees struggling to build careers in academia. It made me think back to a conversation I had when I was about to graduate from high school.

I happened to run into a former track coach of mine, and as we were reminiscing he asked me what I planned as a major in college. “History,” I responded. He said, “Why don’t you take some computer classes also? It never hurts to be able to do something useful.”

I did not reflect on his motivation at the time, but my track coach was a young guy, and he was probably giving me advice straight from his own life, as a parent trying to raise his own young children. I did take computer classes in college and ultimately received a PhD in chemical engineering. I always remember that conversation as being a kind of turning point.

Earning a doctoral degree is a life commitment of great proportion. It can take, as Miller notes, between four and seven years. If we think of working life as roughly between the ages of 22 and 65, then a PhD requires more than 10 percent of a person’s working life. People need to think carefully about that investment.

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Two powerful arguments in favor of the path of science, technology, engineering, and math are that there tend to be more STEM jobs for PhDs, and many universities’ STEM departments are generous in covering their PhD students’ tuition and cost of studies, including a stipend toward food, rent, and other expenses.

Stuart Gallant

Not much has changed in 30 years

As I prepared to graduate in 1995 with a doctor of education degree from the Harvard Graduate School of Education, my mother memorably said to me, “Of my four children, you are the one with the most education and the smallest salary.” Apparently not much has changed in 30 years.

I must congratulate these students, however, on following their passion rather than following the money. I can’t help but think that their lives, though stressful, may contain greater happiness.

Peggy Clark

Lawyers & electricians & philosophers, oh my!

Kara Miller’s column on the career challenges for people with doctoral degrees generated more than 260 comments on Boston.Globe.com. The following is an edited sample of readers’ reactions:

Lots of law school grads are underemployed as well. (PL)

So true, PL. The market in Massachusetts is flooded with talented lawyers seeking work. (Roforma)

Supply and demand, the market at work. (guk)

Investing in education and research in all fields is the hallmark of a society with staying power. Disinvesting from these endeavors signals decline and decay. (Massachusetts citizen)

Electricians, plumbers, mechanics, and other skilled technical professions have no problems getting $100k jobs with great benefits. (ramsen)

Not enough turnover from tenured professors, leaving little space for new faculty. Although the tenured, well-established professors are needed, it’s the junior faculty who are hungry and with new ideas that help build new programs. The whole graduate program model is a bad model. I worked two jobs, had my tuition and some type of minimal student health insurance and could barely cover the rent with my stipend, and the second job paid for everything else. Though I was working on many faculty projects, it was the faculty who said this would be good for me. Never did they say it was also good for them. (TravelerofNJ2)

I just retired from a tenured faculty position in science. I’m in my early 70s. I have colleagues who are still doing what they do well into their 70s, a couple approaching 80. There is no active incentive from the university to move the older faculty on, to make way for a new generation. (Lola-lola)

The next step is for adjuncts to go on strike across the nation and hold colleges and universities accountable. The current system is completely absurd. (Wordsmith2358)

Universities should be required to release disclosure data about the fate of their PhD graduates. (davidman820)

I knew an attorney who managed a Cheesecake Factory. She had worked in food services through school. As an attorney, she really did not make that much money and was not doing the field of law of her choice. How many real estate closings can you do without dying of boredom? She went into management in the food industry and makes the same salary. (Antietem)

It was always a question and puzzling to me why people study philosophy. (Blazer27)

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