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For several reasons, Australia is one of the most sought-after destinations among the international student fraternity. Did you know between January and April 2023, ~95,000 Indian students were enrolled in Australia? Data Science is one of the popular courses offered by Australian varsities. So, here’s what you must know about a Master in Data Science degree in Australia.

Key Highlights

  • Why should you pursue an MS in Data Science in Australia?
  • Data Science masters in Australia: Course overview
  • Top universities for Masters in Data Science in Australia
  • MS in Data Science in Australia - fees
  • About Master’s in Data Analytics
  • Eligibility criteria for master’s courses in Data Science and Data Analytics


Why should you pursue an MS in Data Science in Australia?

  • Data Science is a STEM (Science, Technology, Engineering and Mathematics) course, and Australia is experiencing a labour shortage in this area. This is an opportunity for you to launch your career after completing your course. 
  • A post-study work visa will allow you to work between 2 to 4 years, depending on your course.
  • According to Quacquarelli Symonds (QS) World University Rankings 2024, 2 Australian cities are among the Top 10 cities. In the QS Best Student Cities 2024 rankings, Melbourne appears 4th and Sydney 7th.

Also Read: What are the new rules for Australian student visa 2023

Data Science masters in Australia: Course overview

In the digital era, data is nothing less than a gold mine. By tapping into the humungous data, businesses can deploy Data Science technology to extract meaningful insights and make wise business decisions. The duration of the course can be 1-3 years, depending on the university.
The master’s in Data Science at Australian universities will introduce you to interesting subjects such as Computational Data Analysis, Natural Language Processing, Data Warehousing, Machine Learning, and Applied Predictive Modeling. Some career avenues to pursue after a master’s in Data Science are Data Scientist, Statistician, Big Data Engineer, Database Administrator, and Machine Learning Engineer.

Top universities for Masters in Data Science in Australia

Australia is popular due to its world-class education system and extensive range of courses. According to Times Higher Education (THE) World University Rankings 2023, ~30 Australian universities rank among the top 500.
Also Read: PhD in Data Science: Course overview, top universities, admission requirements and career avenues

Some popular universities in Australia for Data Science

Sr. No.

Name of the universities

Courses

1

The University of New South Wales (UNSW Sydney)

  • Master of Data Science and Decisions
  • Health Data Science (HDS)

2

The University of Sydney

  • Master of Data Science

3

The University of Queensland

  • Master of Data Science

4

The University of Adelaide

  • Master of Data Science

5

University of Technology Sydney

  • Master of Data Science and Innovation
  • Master of Data Science in Quantitative Finance

6

Macquarie University (Sydney, Australia)

  • Master of Data Science

7

RMIT University

  • Master of Data Science

8

Queensland University of Technology (QUT)

  • Master of Data Analytics

9

Deakin University

  • Master of Data Science (Professional)
  • Master of Data Science

10

La Trobe University

  • Master of Data Science


MS in Data Science in Australia - fees

The annual tuition fees for a master’s in Data Science in Australia can range between INR 20,00,000 and INR 30,00,000. Please remember, when you study abroad, you also have to factor in costs such as travelling expenses, accommodation expenses, cost of learning devices, and living expenses.

About Master’s in Data Analytics

Data Analytics is a part of Data Science. It is utilised to identify patterns within the data. It deals with predictive, prescriptive, descriptive, and diagnostic analytic tools. You can unlock career opportunities with expertise in Excel, programming languages, and SQL databases. Some interesting subjects covered in Data Analytics are Predictive Analytics, Big Data Analytics, and Artificial Intelligence and Machine Learning for Business. After completing a masters in Data Analytics in Australia, you can pursue career avenues such as Business Reporting Analyst, Business Analyst, Finance Business Analyst, and Customer Insights Business Analyst.

  • Some popular universities in Australia for Data Analytics
    • University of Melbourne
    • Monash University
    • University of Western Australia
    • University of Technology Sydney
    • Victoria University

Also Read: What you must know before pursuing a Data Science course

Eligibility criteria for master’s courses in Data Science and Data Analytics

  • Graduation in Science, Technology, Engineering, and Mathematics (STEM) can ensure an easy transition to a master’s course in Data Science or Data Analytics. 
  • Appear for any of the following English proficiency tests:
    • International English Language Testing System (IELTS)
    • Test of English as a Foreign Language (TOEFL)
  • Appear for any of the following entrance exams:
    • Graduate Record Examinations (GRE)
    • Graduate Management Admission Test (GMAT)

So, plan your academic journey with this information and be ready to fly to your preferred study abroad destination. If a lack of finance is keeping you from achieving your academic dreams, you can opt for a loan for education. An abroad study loan is a prudent choice to finance your higher studies independently. Please contact us if you want to know about the application & documentation process, education loan calculator, etc. We will be glad to assist you.

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