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About the School

Undergraduate study, for prospective students, internal pages.

  • Research grants
  • Postgraduate Study
  • Postgraduate Scholarships
  • PhD & MSc theses

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.

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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.

Maths & Stats website:

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© 2002-2024 The University of Sydney. ABN:  15 211 513 464. CRICOS number:  00026A. Phone:  +61 2 9351 2222. Authorised by:  Head, School of Mathematics and Statistics.

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Tuition and funding options

Home » Master of Data Science » Admissions » Tuition and funding options

The University of Sydney tuition varies by program offering. The two charts below compare tuition costs for the Master of Data Science (Online) , the Graduate Diploma in Data Science (Online) , and the Graduate Certificate in Data Science (Online) .

Tuition fees are subject to annual increase each year of your study, effective at the start of each calendar year.

Tuition cost for domestic students

Cost per credit point: A$822.92

Tuition cost for international students

Cost per credit point: A$1,104.17

Annual student services and amenities fee: SSAF rates

Funding options

You may be eligible to apply for student aid and private scholarship opportunities to help fund your postgraduate education. Use these resources below for more information about available funding options.

FEE-HELP loan

When you attend the University of Sydney as a domestic student, you can apply to receive a FEE-HELP loan to pay all or part of your tuition fees.

The FEE-HELP loan does not cover costs like accommodation, laptops or textbooks.

Learn more about the FEE-HELP loan application and eligibility.

SA-HELP loan

The SA-HELP is a loan you can use to pay your student services and amenities fee.

To qualify for your SA-HELP or FEE-HELP loan, you must be:

  • an Australia citizen who will study at least one unit of your course of study in Australia, or
  • a permanent humanitarian visa holder or an eligible former permanent humanitarian visa holder who studies the entire course while living in Australia, or
  • a New Zealand Special Category Visa (SCV) holder who meets the long term  residency requirements  and who studies the entire course while living in Australia, and
  • be enrolled in a higher education course at a provider that offers HELP loans.

Learn more about the SA-HELP loan application and eligibility.

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The University of Sydney - Engineering & Information Technologies PG Handbook 2022

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Master of Data Science

  • Master of Digital Health and Data Science
  • Master of Health Technology Innovation
  • Master of Information Technology
  • Master of Information Technology Management
  • Master of Information Technology Management / Master of Information Technology
  • Graduate Diploma in Computing
  • Project Management overview
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  • Master of Project Leadership
  • Master of Project and Program Management
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  • Unit of study table
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Course overview

The Master of Data Science (MDS) provides students from a quantitative background with a pathway to specialise in intelligent data-driven systems. The Graduate Certificate in Data Science (GCDS) is a separate 6-month qualification that allows students from non-quantitative backgrounds to explore data science and qualify for entry to the MDS. More information about units of study and degree program requirements can be found on CUSP (https://cusp.sydney.edu.au).

© 2002-2024 The University of Sydney. Last Updated:  20-Jan-2022

ABN:  15 211 513 464. CRICOS Number:  00026A. Phone:  +61 2 9351 2222.

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Graduate Certificate in Data Science and Innovation

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  • Course experience See what it's like to study at UTS
  • How to apply Requirements and selection criteria

No further Commonwealth-supported places available for 2024.

The Graduate Certificate in Data Science and Innovation is designed for students to gain data science skills in a fast-paced mode. It has a flexible and comprehensive course structure with a group of fundamental and advanced subjects. This allows people with different backgrounds and learning objectives to take the course either as a fast-track pathway into the data science industry, or to develop specialised skills to further enhance their data science career.

Taking a transdisciplinary approach, the course integrates fundamental theories with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.

Upon successful completion of the graduate certificate, students can also choose to progress to the Graduate Diploma in Data Science and Innovation ( C60124 ) or Master of Data Science and Innovation ( C04372 ), a world-leading program of study in analytics and data science.

The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

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Course fees.

For relevant fee information, please choose from the following:

Local student

In most cases, UTS offers domestic students entry to postgraduate courses on a fee paying basis.

Tuition fees are charged:

  • based on the particular course in which you are enrolled
  • based on the number of credit points in which you are enrolled
  • at the rates set for the current year and revised annually

Fees for future year(s) published in the online calculator, whilst unlikely to change, are estimates only.  UTS makes every effort to provide up to date future year(s) fee estimates and to limit any changes, however, UTS reserves the right to vary fees for future year(s) at any time.

Tuition fees can be found in the online calculator .

A small number of postgraduate courses offer government subsidised Commonwealth Supported Places (CSP). Find out whether there are CSPs available in this course by visiting our postgraduate fees page .

In addition to tuition fees, students are required to pay a Services and Amenities Fee (SSAF). The purchase of textbooks and other course materials may also result in additional costs.

UTS Alumni save 10% : alumni.uts.edu.au/advantage

International student

Tuition fees for international postgraduate coursework students can be found using fees search .

Tuition fees must be paid in advance each session and are subject to annual increase. Fees for future year(s) published in fees search, whilst unlikely to change, are estimates only. UTS makes every effort to provide up to date future year(s) fee estimates and to limit any changes, however, UTS reserves the right to vary fees for future year(s) at any time.

All international students should familiarise themselves with the following documents:

  • Protocol on refund of fees for international students  - contains the refund of fees information for international students.
  • Tuition Protection Service  - designed to ensure that students receive the tuition they have paid for

In addition to tuition fees, students may be required to pay a Student Services and Amenities Fee (SSAF). Textbooks and other course materials will also result in additional costs.

For further information on costs related to your study at UTS, visit the international students' fees information page .

The course prepares students to participate in a variety of emerging careers with the growth of data science. While other offerings also provide the basis for these careers, this unique transdisciplinary course is the first of its kind in Australia where creativity and innovation are integral components, producing industry-ready graduates with strong technical, creative thinking and data ethics skills.

Course structure

Course structure explained.

Students must complete 24 credit points in total.

Course completion requirements

Additional information, course duration.

Students generally complete the required credit points in six months of full-time or one year of part-time study.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The qualification used for application for admission must have been completed with a GPA of at least 4.0 on a 7.00 GPA scale.

The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.

Eligibility for admission does not guarantee offer of a place.

Local applicants who do not satisfy the minimum admission requirements listed above may be deemed eligible for admission if they:

  • have successful completed at least one microcredential subject in the Master of Data Science and Innovation course
  • a C.V. outlining work experience and education, as well as other relevant evidence and information, and
  • an official Statement of Service, from the employer, confirming the dates of employment, and a description of the position held within the organisation.

For mature age and non-current school leavers admission requirements, see course/study area page .

International applicants who do not satisfy the minimum admission requirements listed above may be deemed eligible for admission if they have sufficient data related knowledge and skills as indicated by at least two-year of extensive full time, or equivalent part-time, work experience. To support their application, they must provide:

Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.

If you don't meet the admission requirements for this course, there may be alternative pathways to help you gain admission.

Inherent (essential) requirements

Inherent (essential) requirements are academic and non-academic requirements that are essential to the successful completion of a course.

Prospective and current students should carefully read the Inherent (Essential) Requirements Statement below, and consider whether they might experience challenges in successfully completing this course. This Statement should be read in conjunction with the UTS Student Rules .

In addition, students who enrol in professional degrees are required to comply with legal requirements relating to accreditation and registration.

Prospective or current students concerned about their ability to meet inherent (essential) requirements should discuss their concerns with the Academic Liaison Officer in their faculty or school and/or UTS Accessibility Service on 9514 1177 or at [email protected] .

UTS will make reasonable adjustments to teaching and learning, assessment, professional experiences, course related work experience and other course activities to facilitate maximum participation by students with disabilities, carer responsibilities, and religious or cultural obligations in their courses.

For course specific information see the TD School Inherent (Essential) Requirements Statement .

Scholarships and prizes

Scholarships, for transdisciplinary innovation and analytics and data science - 2 students.

  • ARC Linkage Project in digital-twin driven prognostics for the mining industry
  • Crescent Leadership Scholarship
  • Ericsson Technology Scholarship
  • International Research Training Program Scholarship (IRTP)
  • Mentoring of Women in Engineering and IT Scholarship
  • Quantum photonics based on single photon emitters
  • RACE for 2030 CRC Industry PhD Scholarship
  • Rosemary Johnston HDR Scholarship
  • Scape Accommodation Scholarship
  • Telstra Enterprise Certitude Scholarship
  • The Curtis Foundation Humanitarian Scholarship
  • Thrive: Next Generation Graduates - PhD – Social Science and Policy
  • UTS Diploma to Degree Pathway Scholarship
  • UTS Housing Resident Networker Scholarship
  • UTS Jumbunna Honours Scholarship
  • UTS Scholarship for European Undergraduate Students
  • UTS Undergraduate Tuition Fee Scholarship
  • UTS-Vietnam Government Project 89 PhD Scholarship
  • Wikipedia and Australian history and events

Only for international students

  • Australia Awards Scholarships (Australian Government Scholarships)
  • LATAM International Postgraduate Coursework Scholarship
  • Postgraduate Academic Excellence International Scholarship
  • UTS Chinese Postgraduate Tuition Fee Scholarship
  • UTS MACC Postgraduate Scholarship
  • UTS Onshore Postgraduate International Scholarship
  • UTS Study Abroad Excellence Scholarship
  • UTS Vice-Chancellor’s International Postgraduate Coursework Scholarship

For all domestic students

  • Endeavour Cheung Kong Student Exchange Program Scholarships
  • Equal Access Scholarship (Institution Equity Scholarship)
  • Learning to Navigate Uncertainty & Evidence: Teaching for Epistemic Cognition
  • Ross Milbourne Research Scholarship in Economics
  • UTS Dr Con Moshegov Orthoptics Scholarship

Only for Aboriginal Australian or Torres Strait Islander students

  • Indigenous Education Costs Scholarship
  • Indigenous Relocation and Accommodation Scholarship
  • Jumbunna Accommodation Scholarship
  • LEVO Indigenous Technology Scholarship
  • Lindsay Croft Postgraduate Memorial Scholarship
  • Transgrid Indigenous Scholarship for Engineering and Information Technology

Prizes and awards

  • Aqua Nine and DeAúrora UTS Good Manufacturing Practice Prize
  • Blanchfield Nicholls Prize
  • Business Deans Merit List (Postgraduate)
  • CommBank & Telstra UTS Best Venture Prize
  • Dame Mary Gilmore Memorial Prize in Journalism
  • Engineering (Management) Postgraduate Achievement Prize
  • Engineering (Technical) Postgraduate Achievement Prize
  • Gareth Ivory Memorial Prize in Journalism
  • Guy Morrison Prize for Excellence
  • Henry Davis York Prize
  • Industrial Relations Society of NSW Prize for Excellence in Industrial Relations Undergraduate Study
  • Information Technology Postgraduate Achievement Prize
  • Lance Jolly Prize
  • Orthoptics Australia Prize
  • Pharmaceutical Defence Limited Prize
  • Pharmaceutical Society of Australia Prize for Excellence in Pharmacy
  • PMI Project Management Prize
  • Robert Greenwood QC Memorial Prize
  • SHPA NSW Branch Prize for Excellence in Clinical Practice
  • Sydney Mechanics’ School of Arts Award for Achievement in Adult Education
  • Teachers Mutual Bank Rural Student Placement Prize
  • The BioCeuticals Prize for Good Manufacturing Practice
  • The Carla Zampatti Foundation Design Award
  • The Complementary Medicine Group (CMG) for Good Manufacturing Practice Prize
  • The iNova Pharmaceuticals Prize for Good Manufacturing Practice
  • The Star Combo Pharma Prize for Good Manufacturing Practice
  • The Webstercare Prize for Good Manufacturing Practice
  • Trevor Buchner Design Prize
  • UTS Anthology Writing Prize
  • Vincent Fairfax Family Foundation Regional Journalism Prize
  • Zonta Club of Sydney Inc Prize for the Woman MBA Graduate of the Year

UTS: Handbook

Information for international students.

Find out about support services, the Australian education system, accommodation and more to help you get the most out of your study at UTS .

Domestic students

Before you apply.

Here are a few important things for you to check out before you apply:

  • session dates
  • admission requirements for postgraduate coursework at UTS
  • required levels of English proficiency for the course you’re interested in.
  • recognition of prior learning guidelines if you’ve undertaken previous study that might be credited towards your course at UTS.

How to apply

Domestic applicants can apply via My Student Portal .

Spring Session 2024

Important dates

Need more information, scholarships, prizes and awards, international students.

You can meet an international student advisor at one of our events worldwide to ask questions and submit an application.

Visit the UTS Handbook for full academic dates. Visit essential information for international students for the application closing dates.

International applicants apply to study via UTS International .

Apply online

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UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

university of sydney phd data science

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Doctor of Philosophy

Students walking outside the Tyree building, UNSW Kensignton.

A Doctor of Philosophy (PhD) at UNSW Science will lead you to make a new and original contribution to your chosen scientific specialisation. The PhD is a program of specialist expert knowledge which will open doors to academic, research and professional roles nationally and internationally. 

Entry requirements 

The minimum entry requirement for admission to a PhD includes: 

  • an appropriate UNSW bachelor degree with upper second-class honours; or 
  • a completed Masters by Research from UNSW with a substantial research component and demonstrated capacity for timely completion of a high-quality research thesis; or 
  • an equivalent qualification from a tertiary institution as determined by the Faculty Higher Degree Committee (HDC). 

The minimum requirement for a UNSW scholarship with admission to a PhD include: 

  • a four-year bachelor degree with honours class from an Australian institution or equivalent research qualification experience -this qualification must be awarded in a field relevant to the proposed area of research. 

English requirements  

All applicants must provide evidence that their English language ability meets the minimum requirements for admission: UNSW English Language Requirements.

Domestic students: The Australian Government's Research Training Scheme (RTS) provides Commonwealth-funded higher degree by research (HDR) candidates with an exemption from tuition fees for the duration of their PhD by research for a maximum period of four years' full-time equivalent study. Domestic students are liable for the UNSW Student Services Amenities Fee. 

International students: Full details can be found on the GRS Fees and Costs page for International Postgraduate Research Candidates. Note that international students are exempt from the UNSW Student Services Amenities Fee. 

Scholarship opportunities

We assist postgraduate researchers with a range of prestigious scholarships with annual stipends, living allowances, tuition fee costs, travel scholarships and supplements. Our scholarships support both current and new postgraduate research candidates.  

Our research areas

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Environmental sciences and climate

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    Priyanka Srinivasa, Master of Data Science & Innovation graduate: I started looking out for universities and UTS Master of Data Science and Innovation really attracted me because of the way it's taught. ... PRV12060 - TEQSA Category: Australian University - ABN: 77 257 686 961 - 13 December 2022 10:55 AM. The page is authorised by the Chief ...

  13. Graduate Certificate in Data Science

    Graduates of our Graduate Certificate in Data Science will possess the foundational skills in data science to explore a number of potential careers, including: Analytics consultant. Business analyst. Business intelligence specialist. Data analyst. Data engineer. Data visualisation analyst. Health data scientist. Information technology analyst.

  14. Tuition and funding options

    The University of Sydney tuition varies by program offering. The two charts below compare tuition costs for the Master of Data Science (Online), the Graduate Diploma in Data Science (Online), and the Graduate Certificate in Data Science (Online).. Tuition fees are subject to annual increase each year of your study, effective at the start of each calendar year.

  15. Data Science

    In the major in Data Science, you will learn computational and analytical skill sets that stem from statistics and computer science, to manage, interpret, understand, analyse and derive key knowledge from the data. You will develop critical thinking about data and its use, a deep understanding of the core technical skills required and an ...

  16. Master of Data Science

    The Master of Data Science (MDS) provides students from a quantitative background with a pathway to specialise in intelligent data-driven systems. The Graduate Certificate in Data Science (GCDS) is a separate 6-month qualification that allows students from non-quantitative backgrounds to explore data science and qualify for entry to the MDS ...

  17. CUSP

    Please note that students with a Graduate Certificate in Data Science still need to complete 48 cpts in a subsequent Master of Data Science - there is no credit transfer. The Associate Dean will give a waiver for COMP5310 to holders of a Graduate Certificate of Data Science, and affected students enrol in a third Elective Unit instead ...

  18. 7 Universities to Study Ph.D. in Data Science in Australia

    Universities Offering Ph.D. in Data Science in Australia. 1. Monash University. Tuition Fee Page. Scholarships Page. There's hardly any global university ranking where Monash University doesn't rank among the top 100. The public research university came into being in the year of 1958, and currently has a student population north of 78,000.

  19. Data science

    Harness the expertise of three schools. Our suite of data science and decisions programs are taught across three world-leading faculties at UNSW - Science, Engineering and the UNSW Business School. UNSW is ranked in the top 50 worldwide for Mathematics, Engineering & Technology, and Economics and Econometrics.

  20. Data Science, Master

    The Data Science program at the University of Sydney is a professional degree for people who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output. It will develop your analytical and technical skills to use data science to guide strategic decisions in your area of expertise. University ...

  21. Graduate Certificate in Digital Health and Data Science

    Career paths. The Graduate Certificate in Digital Health and Data Science supports data-driven roles in the health industry by providing graduates with specialised skills and knowledge in digital health and applied data science. The health sector needs people with the skills to develop, implement, evaluate, and manage data-driven technologies.

  22. Graduate Certificate in Data Science and Innovation

    The Graduate Certificate in Data Science and Innovation is designed for students to gain data science skills in a fast-paced mode. It has a flexible and comprehensive course structure with a group of fundamental and advanced subjects. This allows people with different backgrounds and learning objectives to take the course either as a fast-track ...

  23. Doctor of Philosophy (PhD)

    Doctor of Philosophy. A Doctor of Philosophy (PhD) at UNSW Science will lead you to make a new and original contribution to your chosen scientific specialisation. The PhD is a program of specialist expert knowledge which will open doors to academic, research and professional roles nationally and internationally.