Master's Degree Information Technology Full Time

Master of Data Science

at University of Sydney · Sydney, New South Wales

CRICOS course code

108764C

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

1.5 years

Tuition (whole course)

A$87,700 total

Per year

A$58,467/yr

Intake

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

About this program

The Master of Data Science at the University of Sydney offers a comprehensive, advanced education in the analysis, management, and interpretation of data. This 1.5-year postgraduate programme is designed to equip students with a rigorous foundation in information technology, mathematics, and statistics, while also fostering advanced skills in data mining, machine learning, and programming.

The programme is structured around a series of core and elective units of study, each earning credit points that contribute to the qualification as per the Australian Qualifications Framework (AQF). Students have the opportunity to explore a range of specialisations within data science, including big data analytics, data visualisation, and statistical modelling. Many students undertake a capstone project, allowing them to integrate their learning through practical problem-solving in a real-world or research-based setting. Depending on choices, there are also opportunities for work-integrated learning or professional placements, reflecting the value placed on industry experience within Australia's burgeoning tech sector.

Graduates gain proficiency in programming languages such as Python and R, data engineering, cloud computing technologies, and interpreting complex data sets. The course also develops professional skills such as critical thinking, project management, and effective communication, catering to those seeking advanced roles in business, government, or academia.

The Master of Data Science suits recent IT graduates, professionals wanting to upskill or reskill, and those with a quantitative background seeking to enter the fast-growing Australian data science industry. International students can benefit from post-study work rights through the Temporary Graduate visa (subclass 485), and can work up to 48 hours per fortnight during their studies. For official and up-to-date details, always consult the university's 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 in technology, finance, healthcare, or retail sectors
Machine Learning Engineer with Australian start-ups and established tech firms
Business Intelligence Analyst in government or enterprise settings
Data Engineer supporting cloud and big data solutions
Research Analyst in academic or private research organisations

Frequently asked questions

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

It typically takes 1.5 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$87,700 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist in technology, finance, healthcare, or retail sectorsMachine Learning Engineer with Australian start-ups and established tech firmsBusiness Intelligence Analyst in government or enterprise settingsData Engineer supporting cloud and big data solutionsResearch Analys...

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