List of Top 37 Universities for Masters in Data Science and Data Analytics in Australia - Courses, Fees & Deadlines

Many students choose Australia for Data Science because it has excellent universities, strong job opportunities, and high-quality teaching. Data Science is so popular here that nearly every major university offers a master’s program in it, and there are over 35 universities across Australia where you can study this field. 

Big tech companies trust graduates from Australian universities because they learn practical skills that help them to apply theoretical knowledge easily. Plus, the country’s safe cities, friendly people, and beautiful landscapes make studying here even more exciting. Australia is one of the best places to be for anyone wanting a future in technology and big data.

Strong Industry Links

Australian universities run live projects with top firms like Atlassian, Telstra, and Commonwealth Bank, where students handle real business data. This means graduates already have industry experience before finishing their degree. Many employers hire directly from these university partnerships because they know students are trained for current tech challenges.

High Demand & Job Opportunities

Australia predicts it will need over 300,000 data professionals by 2026 across finance, health, retail, and tech industries. Graduates often get post-study work visas that let them stay and work for 2 to 4 years, making it easier to build a career. Salaries are strong too, with Data Scientists earning up to AUD 120,000 (INR 65L) per year in major cities.

Innovative Data Science Research

Places like the University of Melbourne and UNSW have modern labs working on AI, climate analytics, and medical data solutions. Students can join research teams that publish in top journals or create technology used in hospitals, government, and business. This makes studying here not just classroom learning, but being part of real discoveries.

Australia has some of the world’s best universities for studying Data Science, like the University of Melbourne, UNSW Sydney, and Monash University. These places are famous because they have good teachers, modern labs, and strong connections with big tech companies. 

Many students pick these universities because they want to learn real technical skills that help them get good jobs after graduation. In Australia, studying Data Science doesn’t just mean sitting in class, but also about working on some good and impactful projects.

Below is a table showing the top 10 universities in Australia for Data Science, along with their overall QS World University Ranking 2026 and how they rank specifically in Data Science or related fields: 

1. University of Melbourne

At the University of Melbourne, students learn how to use math and computers to find patterns in big data. Teachers from the Centre for Data Science help them study things like machine learning, cloud computing, and how to work with huge amounts of information. Students also learn to use tools like Python and R to solve real problems for businesses, hospitals, and the government. Before finishing, everyone does a big project with real data, which helps them get ready for good jobs in data science or even research.

2. University of Sydney

At the University of Sydney, the Master of Data Science helps students turn big data into smart decisions for businesses, hospitals, and governments. The teachers here include experts from the School of Computer Science who work on projects like health data analysis, smart cities, and AI. Students learn subjects such as data visualisation, deep learning, and how to keep data safe, and they can choose different electives based on what they love. Many students also join research groups or do industry internships that help them get good jobs after graduation.

3. UNSW Sydney

UNSW Sydney is known for turning data science into big ideas that change the world. The university helped build the technology behind Australia’s COVID-19 tracking systems, showing how powerful data can be in keeping people safe. The Master of Data Science here is designed so students can pick special tracks like machine learning, data engineering, or business analytics. UNSW also has the Data Science Hub, where students work alongside researchers who publish in top journals and partner with companies like Atlassian and Adobe. 

4. Australian National University

ANU in Canberra is famous for being one of Australia’s top research universities and has a strong name in the Asia-Pacific region for data and analytics studies. The Master of Applied Data Analytics here is special because it’s designed together by three different schools. This includes Computer Science, Statistics, and Social Science. This means students don’t just learn coding or math; they also learn how data affects government, health, and society. ANU is known for training experts who work in government departments, think tanks, and big policy institutes in Australia.

5. Monash University

Monash University stands out because it has built one of Australia’s first Data Futures Institutes, where researchers and students work on big projects like improving bushfire predictions and creating smarter city planning tools. The university is also ranked in the global top 50 for Computer Science, showing how strong it is in data-related research. The Master of Data Science program lets students choose between a research stream and a professional stream. This is great for anyone wanting either a career in industry or a future PhD. Monash also partners with government agencies and global companies, giving students chances to connect with people who lead big data projects worldwide.

6. University of Queensland

The University of Queensland is well-known because its data science researchers helped create tools used in tracking the Great Barrier Reef’s health and studying how diseases spread across large areas. UQ’s Master of Data Science is a flexible program that blends computer science, statistics, and business, so students can choose subjects they like best. UQ is also home to the Queensland Cyber Infrastructure Foundation, giving students access to powerful computing resources for big data projects. Many students from this program go on to work for tech giants like Google and government agencies focused on health and the environment.

7. University of Western Australia

The University of Western Australia is respected for using data science to help tackle environmental issues like saving endangered species and managing water resources in dry regions. Its Master of Data Science lets students dive into subjects like bioinformatics, business analytics, and advanced machine learning. UWA is one of the few places in Australia that offers data science electives linked to marine science, mining, and agriculture, which makes it special for students wanting to work in Western Australia’s biggest industries. UWA also partners with Pawsey Supercomputing Centre, giving students access to one of the fastest supercomputers in the Southern Hemisphere.

8. University of Adelaide

The University of Adelaide has gained attention because its data science team helped develop technology for self-driving cars and smart traffic systems used in South Australia. The Master of Data Science here is known for including a strong practical component, where students can work on projects with companies in defence, health, or energy sectors. Adelaide also houses the Australian Institute for Machine Learning (AIML), one of the largest machine learning research groups in the country, giving students chances to learn from experts leading AI innovations.

9. University of Technology, Sydney

The University of Technology Sydney stands out because it focuses on turning research into real products and businesses. UTS’s Master of Data Science and Innovation is one of the first in Australia designed for students who want to mix data science with entrepreneurship, creative thinking, and storytelling. UTS also partners with the Data Arena, a 3D room where students can step inside huge data sets and explore patterns visually. A rare tool in Australian universities. Many graduates from UTS have started their own tech companies or work in creative industries where data skills are becoming essential.

10. RMIT University

RMIT University is famous for teaching practical data science skills that connect directly to big industries like finance, urban planning, and digital marketing. The university’s Master of Data Science is special because it blends technical training with business insights, helping students learn how to turn data into decisions companies trust. RMIT’s research teams have worked on exciting projects like designing smarter transport networks for Melbourne and using AI to improve online shopping experiences. Plus, RMIT has close ties with tech giants like IBM and Amazon Web Services, opening doors for students who want to build strong careers in Australia’s growing tech scene.

Every year, over 85,000 international students apply to study master’s degrees in Australia, and many of them aim for programs like Data Science. But getting into these courses isn’t easy. Universities look closely at your past studies, grades, and skills before offering you a place. For Data Science, schools often want students who are strong in maths, coding, and problem-solving. 

Below, you’ll find out exactly who can apply and what documents you’ll need to get into the top Data Science universities in Australia.

Eligibility Criteria 

Getting into a Data Science master’s in Australia means you need the right background and skills. Because these programs are technical, universities want to make sure you can handle maths, programming, and working with big data. Here’s what most schools look for:

Academic records: A bachelor’s degree in computer science, maths, statistics, engineering, or a related field. Minimum 65% marks (around 2.8 out of 4.0 GPA) in your undergraduate degree.

English language score reports: For IELTS, a minimum of 6.5 overall with no band below 6.0. For TOEFL iBT, a score of 79–90 is required. (Depends on university and course too)

Entrance tests: GRE is not always required, but it can help your application look stronger at some top schools.

Proof of language skills: Some universities prefer students with knowledge of Python, R, SQL, or similar programming languages.

Work experience: A few programs may ask for work experience in tech or analytics, though this is usually optional.

Documents Required 

Australian universities check every document carefully before giving you admission. Missing papers or errors can slow down your application or even cause a rejection. Make sure you prepare everything below:

• Transcripts: Academic transcripts from all colleges or universities attended.
• Certificates: Degree certificates or provisional certificates if your degree isn’t finished yet.
• SOP: Statement of Purpose (SOP), explaining why you want to study Data Science and your career goals.
• Resume/CV/LOR: Resume or CV showing your studies, projects, internships, and work experience. Letters of recommendation (usually 2) from teachers or employers.
• Verification of identity: A passport copy is required for identity proof during the visa process. Keep a few passport-size pictures of yourself, too. 
• Valid portfolio: Some universities may ask for a portfolio if you have done projects or research in data science or related fields.

Studying a Master’s in Data Science in Australia usually costs between AU$41,000 and AU$52,500 per year (INR 22.9  to 28.9 L), depending on the university. 

Students also spend about AU$1,800 to AU$2,800 per month (INR 1 to 1.5 L) on living costs like housing, food, and transport. One should be prepared for these costs early, as it helps you plan the finances and avoid surprises. 

Tuition Fees 

Many students wonder why tuition fees for Data Science vary so much between Australian universities. Costs depend not only on the university’s rank but also on the kind of resources the program uses and the length of the course. Data Science often involves high-tech labs, advanced software licenses, and supercomputing costs. This can push up fees. Here are some helpful and lesser-known insights about tuition fees:

• Non-citizens usually pay higher fees than Australian citizens, with differences of up to 30–40% in some universities.
• Some scholarships, like the Australia Awards Scholarship or university-specific awards like the Melbourne Graduate Scholarship, can cover anywhere from AU$ 10,000 to full tuition fees (INR 5.5 to  28 L or more).
• Certain universities offer “bundled discounts” if you commit to enrolling in a subsequent degree, like a PhD after your Master’s.
• Programs with a research thesis component or access to supercomputing facilities (like those used for big data modelling) can cost thousands of dollars more than purely coursework-based degrees.
• Fees can also vary based on campus location. Studying in a satellite campus in a smaller city can sometimes be cheaper than studying in Sydney or Melbourne.

Cost of Living in Australia

Living in Australia as a student typically costs about AU$ 1,490 to AU$ 2,670 per month (INR 81,900 To 1.46 L), depending on where you stay and your lifestyle. Students living in cities like Sydney and Melbourne usually pay more than those in cities like Adelaide or Perth. Besides rent, you’ll also spend on groceries, travel, and fun activities. Planning these costs is just as important as saving for your tuition fees.

The best way to choose the right university for Data Science in Australia is to match your career goals with what each university offers. Not every program teaches data science in the same way. Some focus more on research, while others prepare you for business or tech industries. Things like fees, location, and campus facilities also make a big difference. 

Here’s how you can figure out which university suits you best:

Step 1: Check Course Content and Specialisations

Look closely at what each university includes in its Data Science curriculum. Some schools focus on machine learning and AI, while others might emphasise business analytics, bioinformatics, or big data engineering. Check for subjects that interest you and match the job roles you hope to get after graduating.

Step 2: Compare University Rankings and Reputation

Universities with strong rankings in computer science or data science often have better teachers, resources, and industry connections. But rankings aren’t everything! Sometimes, a slightly lower-ranked school offers a course that fits your interests better. Always check both the overall university rank and the subject-specific rank for Data Science.

Step 3: Look at Industry Connections and Internship Opportunities

Data Science is a field where practical experience matters as much as classroom learning. Universities with partnerships in industries like tech, finance, or healthcare can help you get internships or projects during your studies. These experiences often turn into job offers after graduation, giving you a head start.

Step 4: Consider Tuition Fees and Scholarships

Studying in Australia is expensive, so check how much each university charges for Data Science. Look for scholarships in Australia, like the Australia Awards Scholarship or university-specific ones that could reduce your costs by AU$ 10,000 to full tuition coverage. Also, find out if universities let you pay in instalments instead of all at once.

Step 5: Think About Campus Life and City Costs

Your life outside classes is important too. Some cities, like Sydney and Melbourne, are lively but expensive. Adelaide or Perth costs less but still offers a good university experience. Think about where you’d feel comfortable living for two years and how the cost of living fits your budget.

Many students dream of studying Data Science in Australia but often feel confused about choosing the right university, figuring out costs, or knowing how strong their application should be. It’s easy to feel lost when each university offers different courses, fees, and career paths. We always tell students that planning isn’t just about picking a popular university but more about finding a place that matches your goals, budget, and interests. This journey is exciting but also complicated, and that’s why it’s okay to seek help instead of trying to figure out everything alone.

Yocket Premium service helps you navigate every part of this process. From shortlisting the best universities for Data Science to checking your profile, preparing your documents, and even exploring scholarships, we guide you step by step. Yocket Premium makes studying Data Science in Australia feel less stressful with expert advice and a personalised approach.