Master of Data Science and Innovation at UTS

Master's Degree Mathematics Full Time

Master of Data Science and Innovation

at University of Technology Sydney · Sydney, New South Wales

CRICOS course code

084268K

CRICOS provider code

00099F

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

2 years

Tuition (whole course)

A$100,930 total

Per year

A$50,465/yr

Intake

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

About this program

The Master of Data Science and Innovation at the University of Technology Sydney is an interdisciplinary programme designed to equip students with advanced skills in data science within Australia's rapidly evolving digital landscape. Centred in Sydney, this master's degree balances theoretical foundations in mathematics, statistics, and computer science with practical, hands-on experience in handling complex datasets. Students engage with core areas such as data analytics, machine learning, data visualisation, and research methodologies, exploring innovative solutions to real-world problems across multiple sectors.

This two-year programme is structured around units of study, each earning credit points that contribute towards the total requirements for graduation as per Australian higher education standards. The curriculum often includes a capstone project, allowing students to synthesise their knowledge in a practical context, and may offer opportunities for work-integrated learning or professional placements relevant to the growing data science sector in Australia. This prepares graduates to meet industry demands and adapt to technological advancements.

Throughout the course, students develop a portfolio of technical and analytical skills, including programming, statistical modelling, data ethics, and advanced problem-solving. They also cultivate professional competencies such as effective communication, critical thinking, and project management. The degree is suitable for those with a quantitative background seeking to deepen their expertise, professionals in IT or mathematics aiming for career progression, and international students looking to enter the Australian tech industry.

Given the strong research and industry connections in Sydney, students benefit from guest lectures, collaborative projects, and access to Australia’s dynamic technology and business hubs. Graduates are prepared not only for technical roles but also for leadership positions in data-driven organisations. The course aligns with the university’s commitment to fostering innovation and industry-ready graduates in Australia’s competitive data science landscape. Prospective students should always confirm specific course details and structure on the official university 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, health, and government sectors
Data Analyst for consulting firms or corporations
Machine Learning Engineer in Australian tech companies
Business Intelligence Specialist in telecommunications and retail
Data Engineer in startups or large enterprises
Research Analyst in academic or policy settings
Opportunities to work in Australia on the Temporary Graduate visa (subclass 485) and work up to 48 hours per fortnight during studies

Frequently asked questions

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

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

How much is the tuition?

Tuition is around A$100,930 total. Fees change yearly, confirm with an advisor.

What are the career outcomes?

Data Scientist in technology, finance, health, and government sectorsData Analyst for consulting firms or corporationsMachine Learning Engineer in Australian tech companiesBusiness Intelligence Specialist in telecommunications and retailData Engineer in startups or large enterpri...

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