Masters in Data Science Australia: Top Universities, Fees, Requirements, Eligibility & Scholarships

A Master’s in Data Science in Australia focuses on data analysis, machine learning, and AI to solve real-world business and research problems. Top universities like the University of Melbourne, UNSW, Monash, and the University of Sydney typically charge AUD 35,000–55,000 (₹28–44 L) per year. Graduates often secure roles within months, with starting salaries around AUD 70,000–95,000 (₹56–76 L).

Australia has become one of the top study destinations for international students, currently providing education to over 600,000 students, including a rapidly growing number from India. Known for its world-ranked universities, strong research ecosystem, and post-study work opportunities. Get a chance to study in Australia, which provides an excellent prospects for those planning a Master of Data Science online in Australia.

The cost of studying a Masters in Data Science in Australia typically ranges between AUD 35,000 – 55,000 (INR 20L – 31.6L) per year in tuition fees, with additional living expenses of around AUD 21,000 – 25,000 (INR 12L – 14.3L) annually. Globally ranked university also offer scholarships to support international students, making the data science masters in Australia more affordable. 

Students can choose from multiple programs such as a full-time program, part-time study, or even masters in data science online Australia, depending on their career goals. Whether you are looking at the best universities in Australia for masters in data science or considering the best master of data science in Australia according to your interests, there are diverse options available. 

From top universities in Australia for masters in data science to global platforms, you can compare programs, fees, and specializations. With specializations in areas like Artificial Intelligence, Big Data, and Business Analytics, students gain industry-relevant skills highly valued by global employers. 

In the sections ahead, we will cover in detail the eligibility, admission process, fees, scholarships, top universities, and career opportunities and everything you need to know about pursuing a Masters in Data Science in Australia. 

What is a Masters in Data Science in Australia?

A Masters in Data Science in Australia is typically a 2-year masters program that combines statistics, computer science, and business knowledge to help students solve real-world problems. According to the Australian Computer Society, demand for data scientists in Australia has grown by 30% in the last five years, making it one of the fastest-growing fields. 

How is a Masters in Data Science different from related degrees like AI or IT? 

A Masters in Data Science is broader than AI or IT, as it focuses on data collection, analysis, and insights across industries, while AI focuses on intelligent systems and IT emphasizes on tech infrastructure. 

• Data Science - blends statistics, coding, and business applications. 

• AI - builds algorithms that mimic human intelligence. 

• IT - focuses on systems, networking, and technology management. 

A Master of Data Science in Australia is broader program, which covers diverse industries where data is the key driver of decisions. 

Why is Data Science one of the fastest-growing fields in Australia? 

Australia is rapidly digitizing industries like finance, healthcare, and retail, which are currently attracting more professionals with strong data skills. Reports show that job growth in data roles is projected at 15% by 2028, making a data science masters in Australia highly valuable. 

• Finance: Fraud detection & risk management 

• Healthcare: Predictive analytics for patient care 

• Retail: Customer behavior & supply chain optimization 

• Government: Policy-making through data-driven insights 

Why should you study a Masters in Data Science in Australia? 

A Master of Data Science in Australia gives students access to some of the world’s top universities in Australia for masters in data science, including the University of Melbourne, Monash, and ANU, which are globally recognized for Data Science and technology programs. With a strong tech industry, Australia has seen a 20% year-on-year increase in demand for analytics professionals, offering international students both high-quality education and excellent job prospects. 

What academic and career advantages does Australia offer Data Science students?

Pursuing an Australia masters in data science program ensures a strong mix of theoretical knowledge and practical training. Many institutions are counted among the best universities in Australia for masters in data science and are known for strong ties with industries like finance, healthcare, and IT.  

• Globally recognized degrees (ranked in QS Top 100). 

• Internship opportunities with top Australian firms. 

• Access to emerging fields like AI, ML, and Big Data. 

How do Australian universities rank globally for Data Science programs? 

Australian institutions consistently rank among the world’s best in Computer Science and Information Systems. For example, the University of Melbourne ranks #19 globally in QS 2025 (Computer Science & Information Systems), while universities like Sydney, Monash, and ANU also hold strong positions. 

The global rankings are based on multiple factors such as: 

• Academic Reputation - surveys of universities and faculty worldwide. 

• Employer Reputation - how employers rate graduates’ skills and job readiness. 

• Faculty-to-Student Ratio - teaching quality and resources available. 

• Research Citations per Faculty - research influence in global publications. 

• International Student Ratio - diversity and global outlook. 

Is Australia a better choice for Data Science compared to the USA, UK, or Canada? 

While the USA has the largest tech market, choosing a data science masters in Australia offers a balanced mix of affordability, job opportunities, and immigration pathways. The cost of study in Australia is 20–30% lower than top US programs, and graduates benefit from easier post-study work visas compared to the UK or Canada. 

• Affordable tuition compared to the USA. 

• High demand for skilled data professionals. 

• Clear PR pathways for international graduates.

What are the eligibility criteria for a Masters in Data Science in Australia? 

To pursue a Masters in Data Science in Australia, students generally need a bachelor’s degree in computer science, mathematics, IT, or related fields with a minimum GPA equivalent to 65–70%. International students must also meet English language proficiency requirements. 

Some of the best universities in Australia for masters in data science may additionally ask for prior programming or statistical knowledge to ensure readiness for advanced coursework. 

Do you need a background in Computer Science or Mathematics? 

Yes. Most Australian universities require applicants to have studied mathematics, statistics, or programming during their undergraduate degree. However, some programs also accept students from other fields if they complete foundation courses. 

• Preferred backgrounds: Computer Science, Engineering, Mathematics, Statistics, IT. 

• Some universities allow applicants with business/economics degrees + math skills. 

• Foundation modules offered for non-technical students. 

What GPA is required for Data Science admissions in Australia? 

Most universities expect a minimum GPA of 5.0 out of 7.0 (approx. 65–70%) in a relevant bachelor’s degree. Competitive institutions may ask for higher scores. 

GPA Requirement for Data Science in Australia
University	GPA Requirement
University of Melbourne	65%+ (credit average)
Monash University	65%+
University of Sydney	65–70%
UNSW Sydney	70%+
ANU	65%+

What English language proficiency tests are accepted (IELTS/TOEFL/PTE)? (H3) 

All international students must prove English proficiency. The most widely accepted tests are IELTS, TOEFL iBT, and PTE Academic. 

• IELTS: Overall 6.5–7.0 (no band less than 6.0) 

• TOEFL iBT: 79–94 overall 

• PTE Academic: 58–65 overall 

How can international students apply for a Masters in Data Science in Australia? 

International students apply directly through university portals or via registered education agents. Applications usually open in February and July intakes, and students must submit all academic and supporting documents by the deadlines. 

Most universities advise applying 6–8 months in advance because document checks, English tests, and visa processing take time. Below is a simple step-by-step roadmap from shortlisting to visa, followed by quick answers to the H3s. 

Step-by-step application roadmap 

1. Research & shortlist (8–10 months before intake) 

2. Identify 5–8 universities that match your background, budget, and career goals. 

3. Check if the program is listed for international students. 

4. Check eligibility 

5. Bachelor’s in CS/IT/Engineering/Statistics/Maths/Economics (or bridging/prereqs if non-CS). 

6. Typical GPA ≈ 5.0/7 (≈65%) and specific subject prerequisites if required. 

7. Plan English proficiency 

8. Target IELTS 6.5 overall (no band <6.0) or TOEFL ~79–90 or PTE 58–60 (program pages state exact minimums). 

9. Collect academics 

10. Get official transcripts, consolidated marksheets, and degree certificate. 

11. Keep semester-wise mark statements ready if asked. 

12. Prepare your narrative 

13. Draft a strong Statement of Purpose (SOP) highlighting skills (Python, SQL, ML, Stats), projects, and goals. 

14. Prepare a concise CV (1–2 pages) focused on data projects, internships, publications. 

15. Line up 2–3 Letters of Recommendation (LORs) (faculty/manager). 

16. Take required tests (if any) 

17. Some programs are test-optional; if asked, schedule GRE/GMAT. 

18. Retake English test if you need to lift a band score. 

19. Scholarships & funding 

20. Shortlist university scholarships (e.g., merit/entry awards) and government options. 

21. Prepare any scholarship essays alongside your SOP to stay consistent. 

22. Apply online 

23. Create university application accounts; upload documents and pay the application fee. 

24. Submit one program per university (or more if allowed) and track portals for updates. 

25. Interviews/assessments (if required) 

26. Some schools may invite you for interviews or coding/statistics tasks. 

27. Offer & acceptance 

• If you receive a conditional/firm offer, accept within the deadline and pay the tuition deposit (if required). 

1. Prepare for Student Visa (Subclass 500) 

• Gather documents (per your offer and visa checklist) and complete the Genuine Student (GS) statement. 

• Book biometrics/medicals if instructed. 

1. Logistics & arrival 

• Arrange accommodation, book flights, and attend pre-departure/orientation sessions. 

What documents are required for the application process? 

Applicants need to submit academic, identity, and supporting documents. 

• Academic transcripts and degree certificates 

• English language test results (IELTS/TOEFL/PTE) 

• Valid passport copy 

• Updated CV/Resume 

• SOP (Statement of Purpose) 

• LORs (Letters of Recommendation) 

How important are SOPs, CVs, and LORs in Data Science applications? 

While GPA and test scores form the core of admissions, SOPs, CVs, and LORs help universities assess a student’s motivation, relevant skills, and career goals. 

• SOP - Explains motivation and career vision. 

• CV - Highlights academic + project experience. 

• LORs - Validate academic and professional capabilities. 

What are the application deadlines and intake seasons in Australia? 

Most universities have two main intakes: February (Semester 1) and July (Semester 2). Some may also offer a November intake for selected courses. 

Application Deadlines
Intake	Application Deadline
February (Semester 1)	October–November (previous year)
July (Semester 2)	March–April
November (limited)	August–September

Which are the top universities for Masters in Data Science in Australia?  

Australia has some of the world’s leading Data Science programs, especially in universities ranked within the QS Global Top 150 in Computer Science & IS. These institutions combine advanced research with strong industry connections. 

Top Universities for Masters in Data Science in Australia
University	QS World University Ranking 2026	Annual Tuition Fee
University of Melbourne	19	AUD 56,992 (INR 32,77,040)
University of New South Wales (UNSW)	20	AUD 58,500 (INR 33,63,750)
University of Sydney	25	AUD 55,100 (INR 31,68,250)
Australian National University (ANU)	32	AUD 53,700 (INR 30,87,750)
Monash University	36	AUD 52,900 (INR 30,41,750)
University of Queensland	42	AUD 46,440 (INR 26,68,800)
University of Technology Sydney (UTS)	96	AUD 49,200 (INR 28,29,000)
University of Western Australia	77	AUD 52,300 (INR 30,07,250)
University of Adelaide	82	AUD 42,600 (INR 24,49,500)
Macquarie University	138	AUD 46,300 (INR 26,62,250)

How do faculty expertise and research opportunities impact Data Science studies? 

Faculty expertise directly affects the quality of learning and research exposure. Experienced professors and researchers guide students through advanced analytics, machine learning, and data visualization techniques. 

• Universities with industry-experienced faculty provide real-world case studies. 

• Opportunities for research projects in AI, Big Data, and predictive analytics enhance skills. 

• Access to laboratories, high-performance computing resources, and ongoing research grants benefits students. 

What industry tie-ups and placement support should students look for in Australian universities?  

Strong industry connections help students gain internships, projects, and eventual placements in top firms. Universities with dedicated career services improve job-readiness. 

• Tie-ups with tech giants like IBM, Google, Microsoft, and SAS. 

• Internship programs integrated into the curriculum. 

• Dedicated career centers for placement support, resume workshops, and mock interviews. 

• Alumni networks that help students access high-paying roles in Australia. 

How much does it cost to study a Masters in Data Science in Australia? 

The cost of pursuing a Masters in Data Science in Australia depends on the university and lifestyle choices. Tuition fees typically range from AUD 35,000 to AUD 55,000 per year, while living expenses add around AUD 21,000–25,000 annually. Indian students can expect a total cost of studying in Australia is around INR 35–45 lakhs for the entire course, depending on location and personal spending. 

What is the average tuition fee for Data Science programs in Australia? 

Tuition fees vary by university and program type. 

Average Tuition Fee for Data Science
University	Annual Tuition Fee (AUD/INR)	Duration
University of Melbourne	52,256 (INR 30,04,720)	24 months
Monash University	52,900 (INR 30,42,750)	12 months
University of Sydney	55,100 (INR 31,68,250)	12 months
RMIT University	41,280 (INR 23,73,600)	24 months
Deakin University	43,000 (INR 24,72,500)	24 months

How much are living expenses for international students in Australia? 

Living costs include accommodation, food, transport, and utilities. 

• Rent (shared apartment): AUD 8,000–15,000/year (INR 4,60,000–8,62,500) 

• Food & groceries: AUD 4,000–6,000/year (INR 2,30,000–3,45,000) 
• Transport: AUD 1,500–2,000/year (INR 86,250–1,15,000) 
• Utilities & internet: AUD 2,000–3,000/year (INR 1,15,000–1,72,500) 
• Miscellaneous (entertainment, clothing, healthcare): AUD 3,500–4,500/year (INR 2,01,250–2,58,750) 

What is the total cost of studying Data Science in Australia for Indian students? 

Considering tuition and living expenses, the average total cost for Indian students is: 

Component	Cost (AUD)	Cost (INR approx.)
Tuition Fee (2 years)	70,000–110,000	35–55 lakhs
Living Expenses (2 years)	42,000–50,000	21–25 lakhs
Total	112,000–160,000	56–80 lakhs

Scholarships can significantly reduce this cost, especially for high-performing students. 

What scholarships are available for Masters in Data Science in Australia? 

A Masters in Data Science in Australia can be expensive for international students, but numerous scholarships help reduce financial burdens. Both government-funded and university-specific scholarships are offered, with over 1000 scholarships available annually for international students, including Indian students. Scholarships can cover partial or full tuition fees and sometimes living expenses. 

Which government-funded scholarships can international students apply for? 

Government scholarships provide significant financial support for international students pursuing postgraduate studies in Australia. 

• Australia Awards Scholarships – Fully-funded program covering tuition, living allowance, travel, and health insurance. 

• Research Training Program (RTP) – Offers funding for research-focused Data Science degrees, covering tuition fees and stipends. 

• Endeavour Leadership Program – Partial support for high-achieving students, often covering travel and living costs. 

What university-specific scholarships are available in Australia?

Australian universities offer merit-based scholarships tailored to Data Science students to encourage top international talent. 

University-Specific Scholarships
University	Scholarship Name	Coverage
University of Melbourne	Melbourne Graduate Scholarship	Full tuition + stipend
Monash University	Monash International Merit Scholarship	25–50% tuition fee waiver
University of Sydney	Sydney Scholars India Scholarship	Partial tuition fee waiver
UNSW Sydney	UNSW International Scholarships	25% tuition fee reduction

How can Indian students apply for scholarships in Australia?  

Indian students can access scholarships by following these steps: 

• Check the university scholarship portal before applying for the program. 

• Submit required documents: academic transcripts, SOP, CV, and sometimes essays. 

• Meet eligibility criteria: GPA, English proficiency, and relevant work or research experience. 

• Apply simultaneously with the admission application or via a separate scholarship application form. 

What are the popular specializations in Masters in Data Science in Australia? 

A Masters in Data Science in Australia offers several specializations to help students refine their skills to industry demands. These specializations allow graduates to focus on areas with high growth potential and prepare them for specific job roles. Popular specializations combine technical skills, business applications, and research. 

Which Data Science specializations have the highest career scope in Australia?

The following specializations are highly sought-after due to growing industry demand: 

• Artificial Intelligence & Machine Learning – Designing algorithms and predictive models. 

• Business Analytics – Applying data analysis to improve business decision-making. 

• Big Data Engineering – Handling large datasets and managing cloud-based data systems. 

• Bioinformatics & Health Data Science – Using data for healthcare and genetic research. 

• Financial Data Science – Analytics for banking, investment, and risk management. 

How do specializations in Australia compare with other countries?  

Australian programs emphasize practical application, industry collaboration, and internships, giving students an edge in securing jobs immediately after graduation. In contrast: 

• USA: Focuses more on theoretical knowledge and research opportunities. 

• UK: One-year intensive programs with high tuition and living costs. 

• Canada: Offers affordable tuition but fewer global university rankings. 

• Europe: Strong technical focus but potential language barriers and limited English-taught courses. 

What are the career opportunities after completing a Masters in Data Science in Australia? 

Graduates of a Masters in Data Science in Australia can have a wide range of career paths across industries. Demand for skilled professionals continues to grow, with salaries above the national average. With growing data generation and analytics adoption, job opportunities are projected to rise by 15% by 2028 in Australia. 

What are the average salaries for Data Science graduates in Australia? 

Salaries vary based on experience and role, with data professionals earning lucrative packages: 

Average Salaries for Data Science Graduates in Australia
Experience Level	Average Salary (AUD/year)	Average Salary (INR/year)
Entry-level	73,000 – 90,000	41,97,500 – 51,75,000
Mid-level	90,000 – 120,000	51,75,000 – 69,00,000
Senior-level	120,000 – 164,000	69,00,000 – 94,30,000

Which job roles are common for Data Science graduates in Australia? 

Graduates can pursue a variety of roles, including: 

• Data Scientist 

• Data Analyst 

• Machine Learning Engineer 

• Business Intelligence Analyst 

• Data Engineer 

Which industries hire Data Science graduates in Australia? 

Graduates are provided with technical, analytical, and problem-solving skills, making them highly sought-after in sectors that rely on data-driven decision-making. Data Science professionals are in demand across diverse sectors: 

• Finance & Banking: Risk analysis, fraud detection 

• Healthcare: Predictive analytics, patient care optimization 

• Retail & E-commerce: Customer behavior analysis, supply chain optimization 

• Government: Policy-making through data-driven insights 

• IT & Telecommunications: Big data management, analytics 

How do visa and post-study work opportunities look for Data Science students in Australia? 

A Masters in Data Science in Australia not only offers world-class education but also opens paths for gaining work experience through post-study work visas. International graduates can apply for the Temporary Graduate Visa (subclass 485), allowing them to stay and work in Australia for 2–4 years.  

According to the Australian Government Department of Home Affairs, data-related roles are listed under skilled occupations, making it easier for graduates to pursue Permanent Residency (PR). 

What visa do you need to study Data Science in Australia?

To study in Australia, international students require a Subclass 500 Student Visa, which permits full-time study and limited work hours. 

Key Requirements for Student Visa (Subclass 500): 

• Confirmation of Enrollment (CoE) from a recognized university 

• Proof of sufficient funds for tuition and living expenses 

• Valid passport and health insurance (OSHC) 

• English proficiency test results (IELTS/TOEFL/PTE) 

• Genuine Student (GS) statement 

How does the Temporary Graduate Visa (485) work for Data Science graduates? 

The Temporary Graduate Visa (485) allows students who complete a Masters in Data Science in Australia to gain practical work experience. 

• Duration: 2–4 years depending on degree and qualifications 

• Work rights: Full-time employment allowed 

• Eligibility: Must have completed a CRICOS-registered program (Masters in Data Science qualifies) 

• Pathway: Often used as a stepping stone to apply for skilled migration or PR 

Can Data Science graduates transition to PR in Australia? 

Yes, Data Science graduates can apply for Permanent Residency (PR) under the Skilled Independent (subclass 189) or Skilled Nominated (subclass 190) visas. 

Pointers for PR Pathway: 

• Data Scientist and related roles are on Australia’s Skilled Occupation List 

• Work experience in Australia increases PR points 

• English proficiency and age criteria apply 

• PR provides long-term employment, healthcare, and residency benefits 

How does a Masters in Data Science in Australia compare with other countries?  

Australia offers high-quality education, practical exposure, and easier post-study work opportunities all together in comparison to other top destinations. While the USA, UK, Canada, and Europe also offer strong programs, Australia stands out for international students due to its global university rankings, reasonable tuition fees, and PR-friendly immigration policies. 

How does studying Data Science in Australia compare with the USA? 

While the USA is a global tech hub, Australian programs provide similar quality education at lower costs with a simpler visa and PR process. 

Comparison Between Australia and USA
Feature	Australia	USA
Tuition Fees	AUD 35,000–55,000/year (INR 20,12,432 – 31,62,393)	USD 40,000–70,000/year (INR 35,26,006 – 61,70,510)
Living Costs	AUD 21,000–25,000/year (INR 12,07,459 – 14,37,451)	USD 20,000–30,000/year (INR 17,63,003 – 26,44,504)
Program Duration	1.5–2 years	2 years
Post-Study Work	2–4 years (Visa 485)	12–36 months (OPT)
PR Opportunities	Easier (Skilled Occupation List)	More complex

How does it compare with the UK, Canada, and Europe? 

Australia’s Data Science programs offer a good balance of quality, practical exposure, and cost-effectiveness compared to other popular study destinations. While the UK, Canada, and Europe also have strong programs, students often face higher tuition, shorter programs, or language barriers in those regions. The choice depends on priorities like program duration, cost, work opportunities, and long-term residency options. 

Australia vs UK vs Canada vs Europe
Feature	UK	Canada	Europe
Program Duration	1 year	2 years	1–2 years
Tuition Fees	GBP 25,000–40,000/year	CAD 20,000–40,000/year	EUR 0–20,000/year
Living Costs	GBP 15,000–20,000/year	CAD 15,000–20,000/year	EUR 10,000–18,000/year
Post-Study Work	Up to 2 years	Up to 3 years	Varies by country
PR Opportunities	Moderate	Straightforward	Varies, some countries difficult
Language	English	English/French	Depends on country
Global Recognition	High	High	Medium–High

Key Takeaways: 

• Australia is ideal for international students seeking longer post-study work options and PR. 

• The UK offers shorter programs, but post-study work and PR are limited. 

• Canada provides affordable tuition and strong PR pathways, but competition is higher. 

• Europe has low tuition in some countries, but language and visa requirements can be restrictive. 

Conclusion

Pursuing a Master of Data Science in Australia offers international students access to world-class education, cutting-edge research, and strong industry links. With programs at the top universities in Australia for masters in data science, students gain practical skills in AI, Big Data, and analytics. Options like masters in data science online Australia and flexible pathways make it easier to tailor your journey. From scholarships to post-study work opportunities, an Australia masters in data science is one of the best choices for building a global career.