Master's Degree Information Technology Full Time

Master of Data Science

at University of Sydney · Sydney, New South Wales

CRICOS course code

087981E

CRICOS provider code

00026A

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

1 year

Tuition (whole course)

A$57,900 total

Per year

A$57,900/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Data Science at the University of Sydney is a one-year postgraduate programme designed to equip students with advanced analytical and technical skills essential in the rapidly evolving field of data science. The course covers core areas such as machine learning, advanced statistics, data mining, data visualisation, and big data infrastructure. Students will learn to extract, analyse, and interpret complex data to support strategic decision-making across industries.

This master’s qualification is structured according to the Australian Qualifications Framework (AQF) and typically comprises a series of interconnected units of study, with each unit assigned a certain number of credit points. The curriculum may involve a blend of lectures, practical laboratory work, and collaborative projects. A distinctive feature of many Australian data science master's degrees is the inclusion of a capstone project, where students solve real-world problems, often in collaboration with industry partners, allowing them to apply their knowledge to practical situations.

Throughout their studies, students gain valuable hands-on experience with industry-standard programming languages, data engineering techniques, and the application of data science methodologies in varied business and research contexts. This degree suits graduates or professionals from computer science, IT, engineering, mathematics, or similar quantitative backgrounds who are looking to advance their expertise and move into specialist data-driven roles.

Studying in Sydney offers connections to Australia’s thriving technology sector and opportunities for engagement with leading research bodies and industry partners. International students can work up to 48 hours per fortnight during study and may be eligible for the Temporary Graduate visa (subclass 485) post-completion, allowing for extended professional experience in Australia. For details on specific unit offerings, professional placement opportunities, and admission requirements, refer to the official course page.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.

International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

Data Scientist – technology, finance, healthcare, and government sectors
Data Analyst – research organisations, consulting firms, and marketing
Machine Learning Engineer – software development and artificial intelligence companies
Business Intelligence Analyst – retail, logistics, and telecommunications
Big Data Engineer – media, utilities, and public sector

Frequently asked questions

How long is the Master of Data Science at University of Sydney?

It typically takes 1 year, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$57,900 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist – technology, finance, healthcare, and government sectorsData Analyst – research organisations, consulting firms, and marketingMachine Learning Engineer – software development and artificial intelligence companiesBusiness Intelligence Analyst – retail, logistics, a...

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