GraduateData Science

Master of Data Science and Innovation

University of Technology Sydney, Sydney, NSW, Australia

Apply

About this program

The Master of Data Science and Innovation at the University of Technology Sydney (UTS) is taught by the TD School, which takes a transdisciplinary approach: students from different industries and academic backgrounds learn together. Study takes about 18 months full-time at the City campus, mixing online and in-person sessions. The first year includes Data Science for Innovation, Statistical Thinking for Data Science and Machine Learning Algorithms and Applications, alongside electives.
The curriculum is co-designed with industry partners and reviewed regularly. Students work on real data sets throughout, including iLab projects where they tackle data problems brought in by partner organisations. UTS lists career outcomes such as data scientist, machine learning engineer, data visualiser, big data engineer and data and insights manager. English requirements are IELTS Academic 6.5 overall with 6.0 in writing.

Fees & duration

Duration1.5 yr
Tuition (international)A$44,000
Application feeA$100

English test scores

IELTS6.5 overall (W6)
PTE58 overall

Verified uts.edu.au ↗

Course structure

Core subjects

  • 36100Data Science for Innovation
  • 36103Statistical Thinking for Data Science
  • 36106Machine Learning Algorithms and Applications
  • 36104Data Visualisation and Narratives

Career & PR pathway

Occupations this degree typically leads to, and their skilled-migration list status

Data ScientistANZSCO 224115

Primary outcomeCSOL

A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.

Assessed by Australian Computer Society (ACS)

Data AnalystANZSCO 224114

Primary outcomeCSOL

Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.

Assessed by Australian Computer Society (ACS)

StatisticianANZSCO 224113

MLTSSL

On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.

Assessed by VETASSESS

List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.

Admissions

Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline with a minimum GPA of 4/7 OR Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in any discipline AND A minimum of 2 years full-time, or equivalent part-time, professional work experience in a relevant professional occupation (listed below) OR Completed Australian bachelor's degree or higher qualification, or overseas equivalent, in a relevant discipline (listed below)

More Data Science programs

All Data Science programs in Australia →

Why trust Where To Apply

  • Official sources onlyEvery deadline, fee, and requirement traces to a university, government, or admissions-body page.
  • Dated and re-checkedEach fact carries the date it was last verified, on a quarterly re-verification cadence.
  • IndependentNo university pays for inclusion, a better write-up, or a higher rank. We are not an education agent.
  • Named editor, public methodWritten and maintained by a named operator against a published methodology.
← Back to University of Technology Sydney

We use essential cookies to run this site, and analytics cookies only if you accept them. Privacy policy