Many students find Australia a top study destination due to its quality education system, multicultural environment, and great infrastructure. Top universities in Australia offer a Master’s in Data Science, one of the most in-demand courses in the country. It opens various avenues for international students to work as data scientists and in related roles in IT, telecommunications, and consulting firms. If you are planning to pursue a Master’s in Data Science in Australia, here is all that you need to know about.
Key highlights:
- Benefits of Pursuing Master’s in Data Science in Australia
- Master’s in Data Science in Australia: Course Overview
- Best Universities for Master’s in Data Science in Australia
- Eligibility Criteria for Top Universities in Australia For Master’s in Data Science
- Course Fee of Top 3 Universities Offering Master’s in Data Science
Top Benefits of Pursuing Masters in Data Science in Australia
World-class Education
According to the 2025 Quacquarelli Symonds (QS) World University Rankings, many top universities in Australia offering a Master’s in Data Science, like The University of Melbourne and The University of Sydney, are among the top 100 global universities. Australian universities follow a highly regulated system for an enhanced study experience. These universities help students acquire the right data science skills for future work.
Multicultural Environment
Australia is known for its culturally diverse environment and vibrant international student community. Nearly 5,00,000 international students from 192 countries study in Australia. A high standard of living, personal freedom, and a relaxed lifestyle are strong reasons to pursue a course like a Master’s in Data Science in Australia.
Post-Higher Education Work Stream
The Post-Higher Education Work Stream is a Temporary Graduate visa, which enables recently graduated students from Australian universities to live, work, and study in the country (temporarily). The permitted stay duration is between 2 and 3 years, based on your qualification.
Also Read: Best Universities for MBA in Australia You Must Know
Master’s in Data Science in Australia: Course Overview
- About Data Science
Data Science is about extracting actionable insights from data using statistics, programming, and domain knowledge. It enables decision-making across industries and businesses to solve complex problems and drive innovation. Pursuing a Master’s degree in Data Science in Australia means you will learn practical skills in analysing data, using machine learning, and handling huge amounts of information. This boosts your chances of securing a job in the most sought-after sectors, such as finance, healthcare, and technology. - Duration
The course duration for a Master’s in Data Science in Australia is approximately 2 years (full-time). A few universities also offer part-time courses with a duration of ~4 years. A Master’s in Data Science course in Australia combines your skills in 3 key areas: maths and statistics, computer science, and economics. - Primary Intakes
The common intake periods for Master’s courses in Australia traditionally are February/March (Semester 1) and July (Semester 2). However, some universities offer programmes in data science with other intakes in July and November.
Best Universities for Master’s in Data Science in Australia
Here are the best universities for Master’s in Data Science in Australia:
- University of Melbourne
- Monash University
- University of Sydney
- Macquarie University
- Australian National University
- University of New South Wales
- The University of Adelaide
- Deakin University
- The University of Queensland
- Swinburne University of Technology
The University of Melbourne and Monash University are some of the best universities in Australia for a Master’s in Data Science.
Eligibility Criteria for Master’s in Data Science Programme in Top Universities in Australia
- An undergraduate degree in Science, Technology, Engineering, and Mathematics (STEM) or equivalent discipline.
- The minimum Grade Point Average (GPA) should be 5.0 on a scale of 7.0.
- English proficiency exams, such as the International English Language Testing System (IELTS), Test of English as a Foreign Language (TOEFL), or Pearson Test of English (PTE).
- Graduate Record Examination (GRE) and Graduate Management Admission Test (GMAT), as required.
Australian universities will review your academics and require a Statement of Purpose (SOP), Letters of Recommendation (LOR), and academic transcripts before course admission.
Course Fee of Top 3 Australian Universities Offering Master’s in Data Science:
| Sr. No. | Course and University Name | Course Fee |
|---|---|---|
| 1 | Master of Data Science, University of Melbourne | ~AUD 88,000 (Total course fee) |
| 2 | Master of Data Science, Monash University | ~AUD 41,600 (Total course fee) |
| 3 | Master of Data Science, University of Sydney | ~AUD 55,000 (1 year fee) |
Pursuing a Master’s in Data Science at a prestigious university in Australia can give a kick-start to your career in fields that are high in demand globally. However, the costs associated with studying abroad can sometimes stop deserving Indian students from pursuing their academic aspirations. This is where Avanse Financial Services helps aspiring students with customised education loans.
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