Master's Degree Mathematics Full Time

Master of Data Science and Innovation

at University of Technology Sydney · Sydney, New South Wales

CRICOS course code

116841F

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$46,038/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 designed for graduates seeking to advance their expertise in turning data into actionable insights. Delivered over two years full-time in Sydney, this program blends advanced coursework in mathematics, statistics, programming, and data analytics with interdisciplinary project work and real-world application.

The master’s degree is structured using a series of units of study, each with an allocated credit point value contributing to degree completion. Students will engage with core units that delve into data mining, machine learning, statistical analysis, data visualisation, and ethical management of data. The curriculum often culminates in a capstone project, allowing students to tackle complex data-driven problems, integrating their skills and knowledge gained across their studies.

Australian master’s programs in data science often provide opportunities for work-integrated learning or professional placements with industry partners in sectors such as technology, finance, healthcare, retail, and government. This ensures graduates are prepared for the evolving data science landscape, gaining hands-on experience and industry contacts. Students will develop critical thinking, advanced analytical and problem-solving skills, as well as proficiency in programming languages commonly used in data science roles.

This course is ideal for those with a background in mathematics, computer science, science, or engineering looking to retrain or upskill for data-driven careers. International students must meet English language requirements, such as an IELTS Academic score of 6.0–6.5. Graduates may be eligible for post-study work rights under the Temporary Graduate visa (subclass 485), and can work up to 48 hours per fortnight during their studies. For complete admission details and further course requirements, consult the official UTS website.

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, government, or financial organisations
Business/Data Analyst in consulting or corporate sectors
Machine Learning Engineer in start-ups and established IT firms
Data Engineer in retail, healthcare, or public service agencies
Analytics Consultant for Australian businesses and research institutes
Big Data Solutions Architect in banking or manufacturing

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, government, or financial organisationsBusiness/Data Analyst in consulting or corporate sectorsMachine Learning Engineer in start-ups and established IT firmsData Engineer in retail, healthcare, or public service agenciesAnalytics Consultant for Austr...

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