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University of Sydney Master of Data Science (Online)

Earn an online Master of Data Science at the University of Sydney. Drive business decision making, and research outputs by broadening data and leadership skills.

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About the program

  • Innovative structure: Learn from international experts in the subjects of machine learning and artificial intelligence in an online atmosphere covering multiple disciplines.
  • Two tracks: Specialize from the get go: Choose between data engineering or machine learning, and stand out as an expert in the industry.
  • Cultivate skills: Go beyond the technical side of data science and learn to make informed decisions based on business, ethical, and professional skills to guide decision making for stakeholders.

About the University of Sydney

Founded in 1850, The University of Sydney is the oldest university in Australia, and one of the top in the world. It stands for education for all and leadership that improves lives in all the communities the university serves. The University of Sydney’s learners uphold the values of courage and creativity, diversity and inclusion, respect and integrity, and openness and engagement.

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.

Technology and services powered by 2U, Inc., the parent company of edX.

Curriculum

The University of Sydney’s Master of Data Science (Online) is designed to serve the needs — current and future — of a fast-growing field. The program incorporates the latest in data research, all major areas of data science, IT professionalism, and IT and machine learning — all the while fostering collaboration, leadership, and innovation among its learners. Full-time learners can complete the program in 18 months, whereas part-time learners can do so in 36. Learners apply their knowledge in a capstone project, solving a problem in their current workplace or further exploring a research topic. Learners have access to a dedicated support team, as well as access to, and the ability to grow, a powerful network of peers and alumni.

  • Featured courses include: Visual Analytics, Principles of Data Science, Computational Statistical Methods, Professional Practice in IT and Understanding IT Innovations

Admissions

Applicants to the Master of Data Science (Online) must hold an Australian bachelor’s degree or the equivalent, and an Australian master’s degree in a quantitative discipline or something else deemed equivalent by admissions. Additionally, learners with a Graduate Certificate in Data Science with at least a 65-percent average may apply. To complete an application, you will need to submit:

  • Transcripts

  • TOEFL/IELTS scores (for international applicants)

  • Résumé or CV

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

Certificate and diploma options

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Learners who do not meet the requirements for admission into the Master of Data Science (Online) program can work toward these requirements by first completing a graduate certificate or a graduate diploma in data science. Both the certificate and diploma are also designed for learners who wish to gain the knowledge necessary to apply for a MDS degree.

The graduate certificate and diploma allow learners to build on their current knowledge and experience and increase their skills in a degree that advances their careers. The graduate certificate, which can be completed in as little as six months, is 24 credit hours and provides learners with foundational skills in data science. The graduate diploma, which can be completed in as little as a year, is 48 hours and provides learners with an advanced understanding of data science. 

Both programs are available to help learners upskill to advance their careers or to provide a foundation in data science before applying to the master’s course.

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