Master of Data Science University of Melbourne: Fees, Living Costs, Test Scores, Visa Process, Work during Study, Entry Requirements.

University of Melbourne MSc Data Science Fees, Requirement, Admission, Deadline 2026.

Melbourne, VictoriaLocation
UniversitySchool type
Estd1853established year
53000enrollment
Public
7.2/10

Master of Science [MS] (Data Science)

2 years
Full Time
On Campus
Ranked #33 out of 103 by QS Global Ranking 2025

$40,589 /Yr

A$57,984 /Yr
4 Students Applied
4 Students Admitted
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Collegedunia Team

Content Curator | Updated on - Apr 15, 2026

The University of Melbourne Master of Science Data Science is a 2-year full-time program ranked #31 globally and #1 in Australia for Data Science and Artificial Intelligence by QS World University Rankings 2026. Located in Parkville, Melbourne, the program develops advanced skills in machine learning, statistical analysis, and data mining through flexible specialization streams. International students from India pay AUD 57,984 (₹38.50 lakhs approx) annually, with total 2-year costs reaching approximately ₹1.55 crore including living expenses.

The program delivers strong career outcomes with 88.3% placement rate for postgraduate coursework students. Entry-level data scientists in Australia earn AUD 79,887-112,108 (₹53-74 lakhs) annually, with mid-career professionals earning significantly higher. The program offers a 2-3 year post-study work visa (Subclass 485) allowing graduates to work in Australia after completion, enabling career exploration and potential permanent residency pathways.

Current Admission Status:

Applications for March 2027 intake close on November 30, 2026. Indian students should apply by this deadline to secure admission. The program accepts students from any undergraduate background with minimum 65% marks (equivalent to Indian 60%+), making it accessible to non-CS graduates.

Why Study University of Melbourne Master of Science Data Science

  • Global Recognition: Ranked #31 worldwide and #1 in Australia, the degree is recognized by employers across Asia-Pacific, Europe, and North America for data science and AI roles.
  • Flexible Entry: Accept students from any undergraduate discipline with 65%+ marks; no CS background required. Complete foundation subjects if transitioning from non-technical fields.
  • Strong ROI: Entry-level graduates earn AUD 79,887-112,108 (₹53-74 lakhs), with 88.3% employment rate within 3-5 years of graduation.
  • Post-Study Work Rights: 2-3 year Temporary Graduate Visa (Subclass 485) allows unrestricted work in Australia, enabling career exploration and PR pathway.
  • Practical Capstone: Final year major project applies data science tools to real-world problems using public and private data sources, building portfolio-ready skills.

Tuition Fees for University of Melbourne Master of Science Data Science

Component Currency INR
Annual Tuition (International) AUD 57,984 ₹38.50 lakhs
2-Year Total Tuition AUD 115,968 ₹77 lakhs
Overseas Student Health Cover (OSHC) - Annual AUD 1,706 ₹1.13 lakhs
Study Visa Fee (one-time) AUD 650 ₹43,234

Exchange Rate Note: Rates fluctuate daily. Current rate used: 1 AUD = 66.36 INR (April 15, 2026). Confirm with your bank before payment.

Fees are paid per subject in advance. International students cannot access FEE-HELP (Australian government loan scheme). Scholarships are available through Melbourne Research Scholarships and merit-based awards; automatic consideration upon application for most programs.

Cost of Living in Melbourne

Category Monthly Cost (AUD) Monthly Cost (INR)
Accommodation
On-campus (shared) 1,000-1,400 66,360-92,904
Off-campus (shared) 1,200-1,800 79,632-1.19 lakhs
Food & Groceries 400-600 26,544-39,816
Transport (Monthly Pass) 120-180 7,963-11,945
Utilities (Electricity, Gas, Internet) 150-250 9,954-16,590
Entertainment & Miscellaneous 200-300 13,272-19,908
Total Monthly (Moderate Budget) 2,070-3,130 1.37-2.07 lakhs

Annual Living Cost: AUD 24,840-37,560 (₹16.50-24.95 lakhs)

On-Campus Accommodation: Melbourne Business School has limited on-campus housing; most students rent privately in Parkville, Carlton, or Brunswick. Shared accommodation is most affordable. Part-time work (up to 48 hours per fortnight during semester) can offset living costs; minimum wage is AUD 23.23/hour (₹1,542/hour).

Admissions for University of Melbourne Master of Science Data Science

Intake & Application Deadlines

Intake Application Deadline Start Date
March 2027 November 30, 2026 March 2027
March 2026 (Current) Already Closed March 2026

Eligibility Requirements

  • Bachelor's degree from recognized institution in any discipline (equivalent to Indian B.Tech/B.Com/B.Sc with 60%+ marks)
  • Weighted Average Mark (WAM) of at least 65% (equivalent to Indian 60%+ marks)
  • At least 12.5 credit points (one subject) of university-level computer science with programming focus (or equivalent)
  • IELTS 6.5 overall (no band less than 6.0) OR TOEFL 81+ OR PTE 72+ OR Cambridge C1 Advanced 178+
  • GRE/GMAT optional but not required for Data Science program

Application Process

  • Submit CV (up-to-date, 2-3 pages)
  • Academic transcripts with grading schema from all undergraduate studies
  • Valid passport or citizenship verification document
  • English language test score (if applicable)
  • Statement of purpose (250-500 words) addressing career goals and why Data Science
  • Two academic or professional referee contacts

Selection Criteria: Selection Committee evaluates academic performance, relevant background, and career goals. Shortlisted candidates may attend interviews. Committee aims for diverse representation across industries, backgrounds, and nationalities.

English Language Requirements

All international applicants must meet University of Melbourne's English language requirements. Accepted tests and minimum scores:

  • IELTS (Academic): 6.5 overall (writing 6.0, speaking 6.0, reading 6.0, listening 6.0)
  • TOEFL iBT: 81 (writing 19, speaking 19, reading 16, listening 16)
  • PTE Academic: 72 (writing 65, speaking 66, reading 64, listening 64)
  • Cambridge C1 Advanced: 178 (writing 180, speaking 187, reading 168, listening 168)

Exemptions available if undergraduate degree was taught and assessed entirely in English at recognized institution.

Master of Science Data Science Curriculum Overview

The 2-year program comprises 100 credit points: 75 points of compulsory subjects (three core statistics subjects + three core computer science subjects) and 25 points of electives. Four specialization streams available: Foundational Data Science (balanced approach), Statistical Data Science (statistics-focused), Computational Data Science (programming-focused), and Computational and Statistical Data Science (combined). Core subjects include Multivariate Statistics for Data Science, Computational Statistics & Data Science, Machine Learning, Database Systems, and Data Mining. Final year capstone project applies data science tools to real-world problems. Electives include Science Communication, Technology Internship, and specialized topics in AI and advanced analytics.

University of Melbourne Data Science Ranking

Ranking Body Rank Category Year
QS World University Rankings #31 Data Science & AI 2026
QS World University Rankings #1 Australia (Data Science & AI) 2026
Times Higher Education (THE) #37 Overall University 2026
QS World University Rankings #19 Overall University 2026

University of Melbourne is Australia's top-ranked institution for Data Science and AI. The program is recognized globally for research excellence and industry partnerships with leading tech companies and research institutions.

Scholarships for University of Melbourne Master of Science Data Science

Scholarship Value (AUD) Value (INR) Eligibility Deadline
Melbourne Research Scholarship (MRS) 15,000-25,000 ₹9.95-16.59 lakhs Merit-based, all nationalities Application deadline
Graduate Research Scholarship 10,000-20,000 ₹6.64-13.27 lakhs Academic excellence Application deadline
STEM Scholarship 12,000-18,000 ₹7.96-11.94 lakhs STEM field students Application deadline
International Diversity Scholarship 8,000-15,000 ₹5.31-9.95 lakhs Underrepresented backgrounds Application deadline

Automatic consideration for most scholarships upon application. Some scholarships require separate applications by specific dates. Check University of Melbourne Scholarships portal for current deadlines and eligibility criteria. Indian students are eligible for most merit-based and diversity scholarships.

Placements & Career Outcomes

Metric Data
Placement Rate (Postgraduate Coursework) 88.3%
Entry-Level Salary Range AUD 79,887-112,108 (₹53-74 lakhs)
Average Starting Salary AUD 95,000 (₹63 lakhs)
Mid-Career Salary (5+ years) AUD 120,000-140,000 (₹79.63-92.90 lakhs)
Top Recruiting Industries Tech, Finance, Healthcare, E-commerce, Government
Top Employers Google, Amazon, Microsoft, Atlassian, Canva, Optiver, IMC

Career outcomes include roles as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, and AI Specialist. University provides career coaching, networking events with 76+ partner organizations, and internship opportunities. Graduates work across Australia and internationally; many transition to senior roles within 5 years.

Return on Investment (ROI)

Metric Value
Total 2-Year Investment ₹1.55 crore (tuition + living)
Average Starting Salary (AUD) AUD 95,000
Average Starting Salary (INR) ₹63 lakhs
Salary Increase Post-Masters 30-50% average
Break-Even Period 2-3 years
5-Year Cumulative Earnings ₹3.15+ crore (conservative estimate)

ROI is strong for Indian students seeking global tech careers. Graduates working in Australia earn 2-3x more than India-based data scientists. Post-study work visa enables 2-3 years of high-earning potential before returning to India or pursuing permanent residency. Many graduates transition to senior data science roles within 5 years, significantly increasing lifetime earnings. However, note that data science roles can be outsourced to India; securing permanent residency sponsorship requires employer support and meeting points-based criteria.

Visa & Work Rights

Student Visa (Subclass 500): International students can work up to 48 hours per fortnight during semester and full-time during official breaks. Minimum wage is AUD 23.23/hour (₹1,542/hour).

Post-Study Work Visa (Subclass 485): Upon graduation, eligible graduates receive 2-3 year Temporary Graduate Visa with unrestricted work rights. This allows full-time employment in any field, enabling career exploration and potential permanent residency sponsorship by employers.

Permanent Residency Pathway: Data Science graduates can apply for PR through skilled migration (189/190/491 visas) if they meet points requirements (typically 65+ points). Work experience in Australia counts toward PR eligibility. However, data science roles are increasingly outsourced to India; securing PR sponsorship requires employer support and meeting specific criteria.

FAQs

Ques. Do I need a computer science background to apply for University of Melbourne Master of Science Data Science?

Ans. No. The program accepts students from any undergraduate discipline with 65%+ marks. If you lack CS background, you must complete foundation subjects in computer science and statistics before progressing to core subjects. This makes the program accessible to graduates from engineering, mathematics, physics, economics, and other fields.

Ques. Can I work while studying the Master of Science Data Science?

Ans. Yes. Student visa holders can work up to 48 hours per fortnight during semester and full-time during official breaks. Many students work part-time to offset living costs. Minimum wage is AUD 23.23/hour, making part-time work financially viable for covering living expenses.

Ques. What is the job market like for Indian data science graduates in Australia after graduation?

Ans. 88.3% of postgraduate coursework students secure employment within 3-5 years. Entry-level data scientists earn AUD 79,887-112,108 (₹53-74 lakhs). However, data science roles are increasingly outsourced to India; securing permanent residency sponsorship requires employer support and meeting points-based criteria. Many Indian graduates return to India after 2-3 years of work experience, significantly enhancing their career prospects and earning potential in India.


Important Alert

  • March 2026 intake Application Deadline - Sep 30, 2026

Tuition Fees

Year1st Year Fees
Tuition Fees$40589 (AUD 57984)

Other Expenses

HeadAvg Cost Per Year
Living Expenses$14000 (AUD 20000)
Total Cost$14000 (AUD 20000)

Previous Year Tuition Fees

Year1st Year Fees
2025$39894 (AUD 56992)
2024$39894 (AUD 56992)
2021$37493 (AUD 53562)

Important Dates

*International Students should apply as early as possible.

EventApplication Date
March 2026 intake Application Deadline Sep 30, 2026

Scores Required

79 / 120

Avg. Score in

TOEFL

6.5 / 9

Avg. Score in

IELTS

64 / 90

Avg. Score in

PTE


Ranking

20252024

QS World University logo
Data Science and Analytics 33 out of 103 in Global Ranking
( #1 out of 7 in Australia 2025)

Do you think the Rankings are wrong ?  Report Here

TOP Scholarships

Scholarship nameAward amountEligibility
Student Bursaries$1,000 - $10,000Have an academic status of Good Standing
Rao Family Bursary$1,000 - $3,000Be enrolled at the University of Melbourne

Programs Comparison

ranking# 33 for Data Science and Analytics by QS World University 2025
# 4 for Computer Science by QS World University 2026
# 7 for Computer Science by Collegedunia.com 2026
# 11 for Computer Science by Times Higher Education 2025
-# 2 for Arts by QS World University 2026
# 3 for Arts by Collegedunia.com 2026
# 5 for Arts by Times Higher Education 2025
# 51 for Data Science and Analytics by QS World University 2025
# 24 for Data Science and Analytics by QS World University 2025
application------
exam scoresIELTS - 6.5/9PTE - 64/90TOEFL - 79/120IELTS - 6/9TOEFL - 4.5/6IELTS - 6.5/9PTE - 58/90TOEFL - 79/120Duolingo - 125/160IELTS - 7/9PTE - 70/90TOEFL - 100/120IELTS - 7/9PTE - 69/90TOEFL - 100/120IELTS - 7/9PTE - 73/90TOEFL - 100/120
documents required#Letter of Recommendation + Statement of Purpose#Letter of Recommendation + Statement of Purpose#Letter of Recommendation + Statement of Purpose#Letter of Recommendation + Statement of Purpose#Letter of Recommendation + Statement of Purpose#Letter of Recommendation + Statement of Purpose
application datesSep 30, 2026 (March 2026 intake Application Deadline)
Jan 31, 2026 (Regular Admission Application for August 2026 Intake)
Feb 25, 2026 (Semester 1 Application Deadline For 2026 Intake)
Jul 29, 2026 (Semester 2 Application Deadline For 2026 Intake)
Jan 22, 2026 (Application deadline for Spring 2026 Intake)
May 6, 2025 (Deadline of Graduate Support Scheme (GSS) for Fall 2025 Intake)
Mar 31, 2026 (Application Deadline For September 2026 Intake)
cost to study-Total Cost (Tuition + Living) -USD 47362Total Cost (Tuition + Living) -USD 52304-Total Cost (Tuition + Living) -USD 23903.6Total Cost (Tuition + Living) -USD 44319.8
why to opt?-
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This interdisciplinary programme will provide you with training in fundamental aspects of applied data science, computation and programming, and quantitative methods.

With the rise of new and big forms of data, and computation and analytics forming ever-increasingly important elements of a wide range of professions, this programme will prepare you for a variety of careers in the private, non-profit and public sectors.

With a background in social sciences, you will be trained to use data to answer interesting social science questions. You will take a series of project-based programming courses specifically designed for students without a formal computing or statistical background. A typical student will also have taken a prior course in quantitative methods or applied statistics at a basic level, although this is not a formal requirement. 

You will become fluent in a variety of programming languages and applications, particularly R and Python, and will learn to create and manipulate large databases and think creatively about how to deploy these skills in the context of specific projects.


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Admission Criteria/Better to Have-
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  • Upper second class honours (2:1) degree or equivalent in social science, data science, statistics or a quantitative field. Work experience is advantageous but not required.

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-Read Full ComparisonRead Full ComparisonRead Full ComparisonRead Full ComparisonRead Full Comparison



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