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MS in Transportation Engineering in Australia

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Study Transportation Engineering in Australia

Australia offers excellent transportation engineering programmes through Monash University, UNSW Sydney, University of Melbourne, and Queensland University of Technology (QUT). Programmes focus on urban transport planning, intelligent transport systems, and infrastructure management aligned with Australia's growing infrastructure pipeline.

ANZSCO code 233214 (Transport Engineer) appears on the Medium and Long-term Strategic Skills List (MLTSSL), supporting pathways to permanent residency through subclass 189 and 190 visas. Starting salaries range from AUD $85,000–$120,000.

Key Facts

  • Duration: 1.5–2 years
  • Intake: February and July
  • Tuition: AUD $36,000–$50,000/yr
  • PR Pathway: MLTSSL 233214
  • Entry salary: AUD $85,000–$120,000

Top Universities

  • Monash University — Transport Engineering MSc
  • UNSW Sydney — Transport Engineering ME
  • University of Melbourne — Transport Systems
  • QUT — Transport Planning and Engineering

Quick Stats

Avg Tuition: AUD $44,000/yr

PR Pathway: 189/190 visa

Intake: Feb & July

Commission: 0%

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Planning MS in Transportation 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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