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University of Sydney Master of Data Analytics (Online)

The Master of Data Analytics course from the top-ranked University of Sydney turns the data-curious into versatile data professionals, arming you with the expertise to not only gather and evaluate data but also effectively communicate its insights to key stakeholders.

About the program

  • Flexible education: Gear your education to your goals. Complete the program in 36 months part time.
  • Multidisciplinary instructors: Data isn’t one size fits all. Learn from academic experts who bring their experience from a variety of industries.
  • Hands-on experience: Test out your new skills in a capstone project. Practice data consulting for a business or project that aligns with your interests.

About the University of Sydney

The University of Sydney is one of the top universities in the world. Its mission is to equip students with the technical and leadership skills to stand out in their career and support their community. The online Master of Data Analytics prepares professionals to turn raw data into creative, research-backed solutions.

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials.

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Learn to turn data insights into creative solutions

The Master of Data Analytics offers online classes instructed by a diverse group of academic experts, providing you with the skills to gather and implement valuable data insights in various organizational contexts. The course covers a wide array of data applications and subjects, including core courses and electives like the ethical aspects of data acquisition, managing intricate data structures, and data governance.

  • Featured courses include: Modeling Complex Data Structures, Data Visualisation and Communication, Predictive, Analysis, Experimental Design and Analysis
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Admissions

Applicants to the Master of Data Analytics Program are required to have: 

  • a three-year Australian bachelor’s degree in a cognate discipline* with a minimum credit average (65 percent), or

  • the University of Sydney Graduate Diploma in Data Analytics with a minimum credit average (65 percent), or a qualification deemed to be equivalent, or

  • must have completed 24 credit points of the University of Sydney Graduate Diploma in Data Analytics or Graduate Certificate in Data Analytics with a minimum credit average (65 percent). The 24 credit points must include 12 credit points of Data Analytics Core units and 12 credit points of Data Analytics specialist elective units. 

Applicants who have the equivalent of an Australian AQF Level 8 degree or above in a cognate discipline, may be eligible for a Reduced Volume of Learning (RVL) of up to 24 credit points or 0.5 years/one semester.

*Cognate disciplines include any major from a Science, Engineering, Commerce, or Economics degree, or other disciplines that are deemed cognate by the program directors and equivalent in volume of learning to a major or minor.

If you do not meet the requirements for degree admissions but have qualifications in areas such as health or education, you may apply to the certificate or diploma programs.

Applicants interested in both the master’s degree and the graduate certificate must submit the following:

  • Proof of residency (passport or citizen certificate, evidence of citizenship, IMMI card, or international student status)

  • Resume or CV

  • Transcripts

  • TOEFL/IELTS scores (for international applicants)


Capstone project and additional graduate offerings

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The capstone project applies and integrates what learners have gained from their coursework to large-scale data projects and real-world environments. You will have the opportunity to work on a project relevant to your desired industry and work with learners who share similar interests. 

The University of Sydney also offers a graduate certificate and graduate diploma designed for professionals to build data analytics skills and hands-on experience. You can complete the certificate in 24 credit points or the diploma in 48 credit points. With either route, you will still be able to participate in the capstone project. 

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