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Masters in Data Science in Australia

With the increasing reliance on big data, artificial intelligence, and machine learning, data science has become one of the most sought-after fields globally. Australia has positioned itself as a leading destination for international students pursuing a Master’s in Data Science, offering world-class education, cutting-edge research opportunities, and strong industry connections.

Typically, a Master’s in Data Science in Australia takes 1.5 to 2 years to complete, depending on the university and study mode. The course curriculum is designed to provide students with expertise in data analytics, machine learning, statistical modeling, and data visualization, making them industry-ready for high-paying roles.

The program is particularly popular among international students due to Australia’s high academic standards and thriving tech industry. However, tuition fees can be a significant factor, with costs averaging between INR 17.8L (AUD 33000) – INR 31.6L (AUD 58500) per year for international students.

With a strong job market and a growing demand for data science professionals, pursuing a Master’s in Data Science in Australia can be a rewarding step toward a successful career in this dynamic field.

keep reading to explore the top universities, admission requirements, career prospects, and more!

Key Highlights of Masters in data Science in Australia:

Course Duration 1.5 - 2 years
Course Type Full Time
Mode of study On campus
Tuition Fees INR 17.8L (AUD 33000) – INR 31.6L (AUD 58500)
Top Universities

University of Melbourne

University of Sydney

University of New South Wales (UNSW)

Visa Required Australian Student Visa (Subclass 500)
Top Scholarships

Australia Awards Scholarships

Melbourne Graduate Scholarship

Vice-Chancellor’s International Scholarship

Top Job opportunities

Data Scientist

Machine Learning Engineer

Big Data Engineer

Top Universities for Masters in Data Science in Australia

Australia has become a prominent destination for students aspiring to pursue a Master's in Data Science, offering programs that blend rigorous academics with practical experience. Australia is home to 42 universities, with 37 being public institutions, ensuring high-quality education and extensive research opportunities.

Several Australian universities are recognized globally for their excellence in this field, as reflected in the QS World University Rankings 2025

Below is a table highlighting the top universities offering Master's in Data Science in Australia:

University QS World University Ranking 2025 Annual Annual Tuition Fee 
University of Melbourne #13 INR 30.8L (AUD 56992)
University of Sydney #18 INR 29.8L (AUD 55100)
University of New South Wales (UNSW) #19 INR 31.6L (AUD 58500)
Monash University #37 INR 28.6L (AUD 52900)
University of Queensland #40 INR 29L (AUD 53760)
University of Western Australia #77 INR 26.6L (AUD 49200)
University of Adelaide #82 INR 28.3L (AUD 52300) 
RMIT University #123 INR 22.3L (AUD 41280)
La Trobe University #217 INR 17.8L (AUD 33000)
Swinburne University of Technology #291 INR 23.5L (AUD 43280)

Note: The fees mentioned in the table are approximate and may vary depending on the currency exchange rates.

What are the Intakes for a Master’s in Data Science in Australia?

Australian universities offer multiple intake periods for international students applying to a Master’s in Data Science program. The main intakes typically fall into two categories:

  • Semester 1 (February/March): This is the primary intake and sees the highest number of admissions.
  • Semester 2 (July/August): A secondary intake is available at many universities, providing another opportunity to apply.

Below is a table outlining the intake periods for some of the top universities offering a Master’s in Data Science in Australia:

University Intakes
University of Melbourne March
University of Sydney February, August
University of New South Wales (UNSW) February, September
Monash University February, July
University of Queensland February, July
University of Western Australia February, July
University of Adelaide January, May, September
RMIT University February, July
La Trobe University March, July, November
Swinburne University of Technology March, August

Note: Application deadlines and intake availability may vary by university, so it’s recommended to check the official university websites and apply well in advance to secure admission.

What is the Course Curriculum for a Master's in Data Science in Australia?

A Master’s in Data Science in Australia is designed to provide students with the essential knowledge and technical skills required to analyze complex data and drive business decisions. 

The program combines theoretical foundations with practical applications, ensuring that graduates are well-prepared for careers in data science, artificial intelligence, and analytics. Students gain expertise in machine learning, big data, statistical modeling, and cloud computing, among other crucial areas.

The curriculum varies by university but generally includes the following core subjects:

1. Foundational Courses:

  • Introduction to Data Science
  • Programming for Data Science (PythonRSQL)
  • Mathematics and Statistics for Data Science

2. Core Data Science Subjects

3. Advanced Topics

4. Practical Application

  • Data Visualization and Business Intelligence
  • Industry Internship or Capstone Project
  • Ethical and Legal Considerations in Data Science

What are the Admission Requirements & Eligibility Criteria for a Masters in Data Science in Australia?

Pursuing a Masters in Data Science in Australia requires meeting specific admission requirements set by universities. The process generally involves submitting an online application, providing academic records, and fulfilling language and standardized test requirements. 

While each university may have slightly different criteria, most follow a common set of eligibility requirements.

To be eligible for admission, applicants must meet the following criteria:

  • Bachelor’s Degree – A relevant undergraduate degree in Computer Science, Mathematics, Statistics, Engineering, or a related field. Some universities may accept students from non-technical backgrounds with prerequisite courses.
  • Minimum GPA Requirement – Most universities require a GPA of at least 3.0 on a 4.0 scale or equivalent.
  • Programming Knowledge – Prior experience in programming languages like PythonR, or SQL is preferred.
  • Work Experience (Optional) – Some universities may favor applicants with relevant work experience in data science, analytics, or IT.

What are the Documents Required for Masters in Data Science in Australia?

Applicants must submit the following documents during the application process:

  • Academic transcripts from previous institutions
  • Statement of Purpose (SOP) explaining career goals and motivation
  • Letters of Recommendation (LORs) from professors or employers
  • Updated Resume/CV highlighting academic and professional experience
  • Proof of English language proficiency (IELTS/TOEFL scores)
  • Copy of passport for international students

What are the Standardized Tests required for Masters in Data Science in Australia?

Many universities in Australia require applicants to demonstrate proficiency in English and, in some cases, take standardized tests like the GRE or GMAT

Below is a table summarizing the minimum test score requirements:

Test Minimum Score Required
IELTS 6.5 – 7.0 (overall)
TOEFL 90 – 100
PTE 58 – 65
GRE (if required) Varies by university
GMAT (if required) Required for business-focused programs

What is the Admission Process for a Master’s in Data Science in Australia?

The admission process for a Master’s in Data Science in Australia is straightforward but requires careful planning. International students must meet eligibility criteria, gather necessary documents, and apply before university deadlines. 

Most Australian universities offer online application portals, making the process convenient.

Steps to Apply for a Master’s in Data Science in Australia

  • Research Universities & Programs – Compare universities: based on QS rankings, curriculum, tuition fees, and admission requirements.
  • Check Eligibility Requirements – Ensure you meet the academic qualifications, English proficiency, and standardized test requirements.
  • Prepare Required Documents – Gather your transcripts, SOP, LORs, resume, and test scores.
  • Submit Online Application – Apply through the university’s official website and pay the application fee.
  • Await Admission Decision – Universities take 4-8 weeks to process applications and send offer letters.
  • Accept Offer & Pay Deposit – Secure your spot by accepting the offer and paying the initial tuition deposit.
  • Apply for a Student Visa – Once enrolled, apply for an Australian student visa (Subclass 500) to study in Australia.

What is the Visa Procedure for a Master’s in Data Science in Australia?

Indian students planning to pursue a Master’s in Data Science in Australia need to apply for a Student Visa (Subclass 500). This visa allows students to stay in Australia for the duration of their course, generally 1.5 to 2 years, and also permits part-time work opportunities. 

To secure a student visa, applicants must meet eligibility requirements, provide necessary documents, and complete the visa application process.

To apply for a Subclass 500 visa, students need to submit the following documents:

  • Confirmation of Enrollment (CoE) from an Australian university
  • Valid Passport (should be valid for the entire duration of the course)
  • Proof of Financial Stability (bank statements showing sufficient funds for tuition, living expenses, and travel)
  • English Language Proficiency Test Scores (IELTS, TOEFL, or PTE)
  • Overseas Student Health Cover (OSHC) (mandatory health insurance)
  • Genuine Temporary Entrant (GTE) Statement (explaining study and career plans)
  • Academic Transcripts & Certificates (previous education details)
  • Visa Application Form (Form 157A)
  • Passport-size Photographs (as per visa specifications)

Once the application is submitted, visa processing usually takes 4-12 weeks. A successful visa approval allows students to study in Australia.

What is the Cost of Studying for a Master’s in Data Science in Australia?

Pursuing a Master’s in Data Science in Australia involves several expenses, including tuition fees, living costs, visa fees, and other miscellaneous expenses. The total cost varies depending on the university, city, and lifestyle of the student. 

While tuition fees are the biggest expense, international students should also budget for accommodation, food, transportation, and healthcare.

The table below provides an estimated breakdown of the costs involved:

Expense Category Estimated Cost (AUD per year)
Tuition Fees INR 17.8L (AUD 33000) – INR 31.6L (AUD 58500)
Living Costs (Rent, Food, Transport, etc.) INR 10.5L (AUD 19188)
Student Visa (Subclass 500) Fee INR 88,000 (AUD 1600)
Overseas Student Health Cover (OSHC) INR 27,500 (AUD 500) –INR 38,500 (AUD 700)
Books & Study Materials INR 27,500 (AUD 500) – INR 55,000 (AUD 1,000)
Miscellaneous Expenses (Entertainment, Internet, etc.) INR 1L (AUD 2,000) – INR 2L (AUD 4,000)

Note: The costs mentioned in the table are approximate and may vary depending on the time and currency exchange rates.

Also Read: Cost of living in Australia

What are the Top Scholarships for a Master’s in Data Science in Australia?

Australia offers a variety of scholarships for international students pursuing a Master’s in Data Science. These scholarships help reduce the financial burden by covering tuition fees, living expenses, and other costs. 

Scholarships are awarded based on academic merit, financial need, or research potential, and are offered by universities, government agencies, and private organizations.

The table below highlights some of the top scholarships available for international students:

Scholarship Name Eligibility Criteria Benefits
Australia Awards Scholarships International students from eligible countries Full tuition, living expenses, airfare
Melbourne Graduate Scholarship Academic excellence 100% fee coverage up to AUD 135,000 (INR 74L) and living expenses.
Vice-Chancellor’s International Scholarship High academic achievers Up to AUD 40,000 (INR 21.6L) tuition fee reduction
University of Adelaide Global Citizens Scholarship High-achieving international students 15%–30% tuition fee reduction
UQ Global Excellence Scholarship High-achieving students from specific countries 25% tuition fee reduction

What are the Top Career Opportunities after a Master’s in Data Science in Australia?

A Master’s in Data Science in Australia opens doors to high-paying and in-demand job opportunities across various industries, including technology, healthcare, finance, and retail. With Australia’s growing reliance on big data, artificial intelligence, and machine learning, data science professionals are highly sought after by top companies.

The table below highlights some of the top job roles and their average annual salaries in INR:

Job Role Average Annual Salary (INR)
Data Scientist INR 70.5L (AUD 130250)
Machine Learning Engineer INR 71L (AUD 131000)
Data Analyst INR 57L (AUD 105000)
Big Data Engineer INR 66.5L (AUD 122800)
AI Engineer INR 56.3L (AUD 104000)
Business Intelligence Analyst INR 56.5L (AUD 104500)
Data Engineer INR 70L (AUD 129000)
Statistician INR 50.3L (AUD 92978)
Quantitative Analyst INR 70.3L (AUD 130000)
Computer Vision Engineer INR 59.5L (AUD 110000)

Note: The salaries mentioned in the table are approximate and may vary depending on the employer, location, and currency exchange rates.

Top Recruiters for Data Science Graduates in Australia

Many leading global and Australian companies hire data science professionals for advanced analytics, AI-driven solutions, and business intelligence roles. 

Some of the top recruiters include:

Company Name Industry/Field
Google Technology & IT
Microsoft Technology & IT
Amazon E-commerce & Cloud Computing
Commonwealth Bank Banking & Financial Services
ANZ Bank Banking & Financial Services
Deloitte Consulting & Analytics
PwC Consulting & Business Intelligence
IBM AI, Machine Learning & IT
Atlassian Software & Product Development
CSIRO Research & Data Analytics
...Read more
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49 results found

Master of Data Science

The University of Melbourne, Australia

  • DURATION
    2 Years
  • FEES
    INR 32.49L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    MAR 2026

Master of Digital Health and Data Science

The University of Sydney, Australia

  • DURATION
    1 Year
  • FEES
    INR 31.41L/yr
  • EXAMS
    -
  • INTAKE SESSION
    FEB 2025

Graduate Certificate in Data Science and Decisions

The University of New South Wales, Australia

  • DURATION
    7 Months
  • FEES
    INR 15.96L (Total)
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    SEP 2025

Master of Data Science (2 Years)

The University of Queensland Australia, Australia

  • DURATION
    2 Years
  • FEES
    INR 30.64L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Master of Data Science

Monash University, Australia

  • DURATION
    2 Years
  • FEES
    INR 28.22L/yr
  • EXAMS
    -
  • INTAKE SESSION
    FEB 2026

Master of Data Science

The University of Western Australia (UWA), Australia

  • DURATION
    2 Years
  • FEES
    INR 28.04L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Graduate Certificate in Data Science

The University of Adelaide, Australia

  • DURATION
    -
  • FEES
    INR 13.50L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    SEP 2024

Master of Data Science and Innovation (1 Year)

University of Technology Sydney (UTS), Australia

  • DURATION
    1 Year
  • FEES
    INR 26.47L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    AUG 2025

Master of Data Science

RMIT University, Australia

  • DURATION
    2 Years
  • FEES
    INR 23.53L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Master of Data Science

Macquarie University, Australia

  • DURATION
    2 Years
  • FEES
    INR 25.37L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Graduate Certificate of Data Science

Swinburne University of Technology, Australia

  • DURATION
    1 Year
  • FEES
    INR 23.51L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    FEB 2025

Master of Data Science

La Trobe University, Australia

  • DURATION
    2 Years
  • FEES
    INR 23.37L/yr
  • EXAMS
    -
  • INTAKE SESSION
    FEB 2025

Master of Data Science

University of South Australia, Australia

  • DURATION
    2 Years
  • FEES
    INR 23.31L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Graduate Diploma in Data Science

Flinders University, Australia

  • DURATION
    1 Year
  • FEES
    INR 19.77L/yr
  • EXAMS
    IELTS-6.0
  • INTAKE SESSION
    FEB 2025

Graduate Certificate in Data Science

Western Sydney University, Australia

  • DURATION
    -
  • FEES
    INR 22.38L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    MAR 2025

Master of Data Science

University of Canberra, Australia

  • DURATION
    2 Years
  • FEES
    INR 22.06L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    JUL 2025

Graduate Diploma in Artificial Intelligence and Data Science

Murdoch University, Australia

  • DURATION
    1 Year
  • FEES
    INR 18.81L/yr
  • EXAMS
    IELTS-6.0
  • INTAKE SESSION
    JUL 2025

Graduate Certificate in Data Science

Edith Cowan University, Australia

  • DURATION
    -
  • FEES
    INR 9.44L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    FEB 2025

Graduate Diploma of Science Specialisation Applied Data Science

University of Southern Queensland, Australia

  • DURATION
    1 Year
  • FEES
    INR 20.94L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    FEB 2025

Master of Information Technology (Information Systems and Data Science)

Charles Darwin University (CDU), Australia

  • DURATION
    2 Years
  • FEES
    INR 32.99L/yr
  • EXAMS
    IELTS-6.5
  • INTAKE SESSION
    AUG 2024

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