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MS in Data Engineering in Australia

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Study Data Engineering in Australia

Australia's data economy is growing rapidly, with government digital transformation, open banking, healthcare data initiatives, and the mining sector's digital twin programmes driving strong demand for data engineers. MS in Data Science and Data Engineering programmes are offered at University of Melbourne, UNSW Sydney, Monash University, University of Technology Sydney (UTS), and Queensland University of Technology (QUT).

ANZSCO code 261313 (Software Engineer — Data) and ICT codes are on the MLTSSL, supporting permanent residency via subclass 189/190. Commonwealth Bank, Westpac, Atlassian, BHP, and global tech firms with Australian offices are major data engineering employers. Entry salaries range from AUD $95,000–$145,000.

Key Facts

  • Duration: 1.5–2 years
  • Intake: February and July
  • Tuition: AUD $32,000–$48,000/yr
  • PR Pathway: MLTSSL
  • Entry salary: AUD $95,000–$145,000

Top Universities

  • University of Melbourne — Data Science Master
  • UNSW Sydney — Data Science Master
  • UTS — Data Science and Innovation Master
  • QUT — Data Science Master

Quick Stats

Avg Tuition: AUD $40,000/yr

PR Pathway: MLTSSL

Atlassian HQ: Sydney

Commission: 0%

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Planning MS in Data Engineering for 2026–27

Before you commit, run the numbers: typical budgets are ₹20–35 lakh per year, and graduates get 2–3 years of post-study work rights. Compare options with the UK vs Australia, check English-test alternatives, plan funding via non-collateral loans and the Scholarship Finder, and get your per-university admission odds from the AI University Matcher — free.

Budget roughly ₹20–35 lakh per year including tuition and living costs, varying by university and city. Scholarships and education loans can cover a substantial share — AbroBot matches both to your profile.

Yes — graduates typically get 2–3 years of post-study work rights. Verify current immigration policy before applying, as rules evolve.

Apply with evidence: AbroBot computes your per-university admission probability from 25 lakh+ student outcomes, flags visa-risk factors early, and pairs AI SOP analysis with human expert review.

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