Master of Data Science

The information on this page applies to future students. Current students should refer to their faculty handbooks for course information.

COURSE VIDEO

This professional degree is 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 an organisation. It can provide 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 this data.

For those with strong mathematical or quantitative backgrounds, this degree will develop your analytical and technical skills to use data science to guide strategic decisions in your area of expertise. It offers the flexibility to tailor your learning to your professional and personal interests.

Leveraging the University’s research strengths, you will explore the latest in data mining, machine learning and data visualisation, while developing the skills to effectively communicate data insights to key stakeholders.

For those with qualifications in other areas such as health and education, a Graduate Certificate in Data Science can provide you with data science capability to complement your existing skills and provide a pathway to the master’s program.

Course structure



The course comprises core units, elective units and a capstone project where you will apply your skills to a real-world data science problem. You can tailor your degree by selecting elective units and a project that complement your particular interests, background and qualifications.

Core units for the Master of Data Science include Principles of Data Science, Computational Statistical Models, Visual Analytics, and Knowledge Discovery and Data Mining.

For the Graduate Certificate in Data Science, core units include Principles of Data Science, Algorithms, Database Management Systems and Introduction to Statistics.

You can select elective units from the following data science subjects, or from other disciplines relevant to your background and qualifications.

Data science electives include:

  • Advanced Data Models
  • Cloud Computing
  • Multimedia Retrieval
  • Data Analytics and Business Intelligence
  • Information Security Management
  • Statistical Learning and Data Mining
  • Statistical Natural Language Processing
  • Predictive Analytics.

We also offer a pathway for eligible candidates planning to pursue a research degree.

Course outline

Specialisations

Core specialisations

Principles of data science, database management systems, data mining, visual analytics, statistics and statistical models.

Embedded courses

Further course information

Progression rules

A candidate for the Master of Data Science must complete 24 credit points from Core and Elective units of study with a credit average before taking Data Science Capstone Project Units. Admission to the Project units of study is subject to availability of supervision and to the approval of the Academic Director.

Course outcomes and further study

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.

Further study

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.

Admission

Admission requirements

Admission to this course requires an Honours degree, a graduate certificate or a graduate diploma with at least a credit average in Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, Economics, Finance or other disciplines that include tertiary-level training in a quantitative discipline such as mathematics or statistics. Other students with a high level of relevant achievement deemed to be equivalent to the admission criteria by the Dean may be admitted to the Masters degree.

The academic requirements that are displayed are applicable to currently available courses only, and are updated annually in October and may be changed without notice. The Faculty Handbook and the University of Sydney Calendar are the official legal source of information relating to study at the University of Sydney, and you are referred to those documents.

How to apply

Domestic students

How to apply

Applications are made directly to the University via the University’s online application portal. When you are ready to apply, select the ‘Apply Now’ button on the right hand side of this course page. For more information you can visit our How to Apply page.

International students

How to apply

Applications are made directly to the University via the University’s online application portal. When you are ready to apply, select the ‘Apply Now’ button on the right hand side of this course page. For more information you can visit our How to Apply page.

Important Fee Information

Domestic students

Indicative Postgraduate Domestic Tuition Fee

The tuition fee for a domestic postgraduate student is an indication only of the 2017 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 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, faculty-specific materials, tools, protected clothing and equipment. Further information about these costs is available from your faculty.

Credit card surcharge

Please note that a surcharge of 0.8% will apply for payments made by Visa or MasterCard. 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 2017 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 fees and health insurance

For some courses there are incidental costs additional to the tuition fees. Some of these incidental costs are significant, for example, faculty-specific materials, tools, protected clothing, and equipment. Further information about these costs is available from your faculty.

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.

Credit card surcharge

Please note that a surcharge of 0.8% will apply for payments made by Visa or MasterCard. 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.