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Master of Data Science

Every industry needs expertise in data science

Be at the front of this fast-moving field of technology

Our rankings

Drive business decision-making

  • Top 3

    Placed in the top 3 engineering and technology universities in Australia by the 2017 QS University Rankings

  • 1st in employability

    Our graduates are ranked 1st in Australia and 4th in the world for employability.

Overview

The Master of Data Science 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. It also offers the flexibility to tailor learning to your professional and personal interests.

Data is a vital asset to any organisation. It holds valuable insights into areas such as customer behaviour, market intelligence and operational performance. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from big data sets. If you have a strong mathematical or quantitative backgrounds, this degree will develop your analytical and technical skills in using data science to guide strategic decisions in your area of expertise. Leveraging the University of Sydney's research strengths, you will explore the latest in data mining, machine learning and data visualisation, while developing the skills to communicate data insights to key stakeholders effectively. If you have qualifications in areas such as health and education, a Graduate Certificate in Data Science can provide you with the data science capability to complement your existing skills and provide a pathway to the master's program.

Specialisations

This course has no specialisation or major.

Entry, fees, funding & how to apply

Depends on your qualification, citizenship status

The details on this page based on your selections are a guide only, and are subject to change.

Your fee

How to apply

Admission requirement

To be eligible for admission, an applicant is required to have:

  • a four year Australian bachelor's degree with honours in a quantitative discipline* with a minimum credit average (65 percent), or
  • an equivalent qualification with a research component or an Australian master's degree in a quantitative discipline* with a minimum credit average (65 percent), or equivalent qualification, or
  • the University of Sydney Graduate Certificate in Data Science with a minimum credit average (65 percent), or equivalent or higher qualification

There is no credit transfer possible between the Graduate Certificate in Data Science and the Master of Data Science. Students with a Graduate Certificate in Data Science still need to complete 48 credit points in a subsequent Master of Data Science. They will receive a waiver for COMP5310, and can hence enrol in a third Elective Unit instead.

*A quantitative discipline includes data science, computer science, mathematics, statistics, engineering, physics, economics, finance or other disciplines that are deemed equivalent. As a guideline, the curriculum of a quantitative discipline should include some study of mathematics including statistics at the tertiary level.

Some background in computing (specifically in programming and in data management as taught in the Graduate Certificate in Data Science) is assumed. If you do not have previous IT background, please apply for the Graduate Certificate in Data Science. Applicants who hold a three year bachelor's degree in a quantitative discipline can apply to the Master of Data Science based on employment experience if they can demonstrate a minimum of two years relevant industry experience in IT or Data Science/Data Analytics. This must be supported by a CV and proof of work experience (in the form of an official letter from the employer including details of your position, dates of employment and job description). In all other cases, applicants should apply for the Graduate Certificate in Data Science.

Graduate opportunities

The Master of Data Science will provide the knowledge, skills and experience to equip the graduate to operate independently as a data scientist within any application domain. The training it provides also supports several career paths, by: honing data skills at the frontier of machine intelligence research to become a data scientist for hire; up-skilling to build intelligent data-driven systems in an existing area of expertise (e.g., mining analyst); improving scientific research through training in data management, analysis, and modelling.
Future study options

The University of Sydney is a research intensive institution with a strong track record of technology transfer and commercialisation. Research activities in the School of Information Technologies focus on algorithmics and applications, enterprise computing, human-centred computing, and IT applications in health care. If you would like to be part of Sydney's IT research community, you may consider applying for admission to a higher degree by research. Students completing a research degree undertake supervised research and submit a written thesis at the completion of their studies in the degree of Master of Philosophy or Doctor of Philosophy.

Domestic students

Indicative Postgraduate Student Contribution Amount


The student contribution amount for a Commonwealth Supported Place is an indication only of the amount payable in Year 1 for a standard full time load of 48 credit points (1.0 EFTSL). The exact student contribution that you pay will depend on the calendar year in which you undertake your study, and the specific units of study in which you ultimately enrol. For further information about how to calculate your specific total student contribution, please refer to the University's Tuition Fees website.

Annual review and fee increases


Importantly, student contribution amounts are subject to annual review by the University, and will increase each year of your period of study (subject to a Commonwealth specified cap), effective at the start of each calendar year.

Indicative Postgraduate Domestic Tuition Fee


The tuition fee for a domestic postgraduate student is an indication only of the fees payable in Year 1 for a standard full time load of 48 credit points (1.0 EFTSL). Depending on the calendar year in which you undertake your study, and if your study load is more or less than the 1.0 EFTSL, your tuition fee will differ from the indicative amount.

Annual review and fee increase


Importantly, tuition fees are subject to annual review by the University, and will increase each year of your period of study, effective at the start of each calendar year.

Additional incidental costs


For some courses there are incidental costs additional to the student contribution and/or course fee. Some of these incidental costs are significant, for example, course-specific materials, tools, protected clothing and equipment. Further information about these costs is available from https://sydney.edu.au/students/materials-and-equipment.html.

Visa/MasterCard/American Express/JCB surcharge


Please note that a surcharge of 0.8% will apply for payments made by Visa, MasterCard, American Express or JCB. The surcharge is subject to review and may change. Information about payment methods and the surcharge is set out at: http://sydney.edu.au/study/finances-fees-costs/fees-and-loans/paying-your-fees.html.

Potential for inaccuracy


Whilst every reasonable effort has been made to include correct and up to date information here, you are also advised to consult directly with the Student Centre so that they can provide you with specific and up to date information about fees.

International students

Indicative International Tuition Fees for Postgraduate Students


The tuition fee for international postgraduate students is an indication only of the fees payable in Year 1 for a standard full time load of 48 credit points (1.0 EFTSL). Depending on the calendar year in which you undertake your study, and if your study load is more or less than the 1.0 EFTSL, your tuition fee will differ from the indicative amount.

Annual review and fee increases


Importantly, tuition fees are subject to annual review, and will increase each year of your period of study, effective at the start of each calendar year.

Additional incidental costs and health insurance


For some courses there are incidental costs additional to the tuition fees. Some of these incidental costs are significant, for example, course-specific materials, tools, protected clothing, and equipment. Further information about these costs is available from https://sydney.edu.au/students/materials-and-equipment.html. In addition to the fees indicated here for the course of study, International Students studying on an Australian Student Visa must have appropriate health insurance for the duration of their studies on a Student Visa through an approved provider of the Overseas Student Health Cover (OSHC) scheme. This is a requirement of the Australian Government, unless otherwise exempted by the Government.

Visa/MasterCard/American Express/JCB surcharge


Please note that a surcharge of 0.8% will apply for payments made by Visa, MasterCard, American Express or JCB. The surcharge is subject to review and may change. Information about payment methods and the surcharge is set out at: http://sydney.edu.au/study/finances-fees-costs/fees-and-loans/paying-your-fees.html.

Potential for inaccuracy


Whilst every reasonable effort has been made to include correct and up to date information here, you are also advised to consult directly with the Student Centre so that they can provide you with specific and up to date information about fees.

To help you understand common terms that we use at the University, we offer an online glossary.