Master’s (MS) in Data Science in Australia
Get expert support to turn your aspiration of studying
Master’s (MS) in Data Science in Australia into reality!
Master’s (MS) in Data Science in Australia
Get expert support to turn your aspiration of studying Master’s (MS) in Data Science in Australia into reality!
Master’s (MS) in Data Science in Australia
Over the past five years, the demand for data professionals in Australia has surged by more than 70%, making it an exciting destination for those looking to enter the field. If you’re considering pursuing a Master's in Data Science in Australia, you’re making a smart move.
Whether you’re interested in machine learning, big data, or artificial intelligence, an MSc in Data Science in Australia will give you the expertise and opportunities to excel in this rapidly evolving field. Read on to find out why Australia is the perfect place to launch your data science career.
Why Study an MSc in Data Science in Australia?
Pursuing a Master's in Data Science in Australia for International Students offers numerous advantages that make it an attractive choice. Here’s why:
- World-class education: Australia is among the best destinations in the world due to its Best Universities in Australia for Master’s in Data Science ranking, year in and year out, among the best globally in terms of academic excellence and research output.
- Assured of High Safety Standards: Australia is considered one of the safest countries in the world. It is a secure and very friendly environment to study as an international student.
- Innovation Hub: Innovation and research are the key aspects Australia leads, especially in data science and technology. Such a vibrant atmosphere guarantees that students will be exposed to recent developments within the subject area.
- Booming Job Market: Equipped with excellent prospects, the job market for graduates of the Master's in Data Science study is booming in Australia.
- Lifestyle: Australia is known for its quality of life: excellent health, different cultures, and lively cities make it an ideal destination both for study and for a life experience.
Top Australia Universities for MSc in Data Science
Following are some of the best universities offering the MSc in Data Science in Australia, acknowledged to be among the best in the world academically. Let's look at a few of the best institutions offering an MSc in Data Science:
Universities |
QS Ranking 2025 |
Programs |
Fees |
University of Melbourne |
MSc in Data Science |
INR 27,50,000 - 30,00,000 (AUD 50,000 - 55,000) |
|
University of New South Wales |
MSc in Data Science |
INR 26,75,000 - 30,00,000 (AUD 49,000 - 53,000) |
|
Monash University |
MSc in Data Science |
INR 23,75,000 - 27,50,000 (AUD 45,000 - 50,000) |
|
University of Sydney |
MSc in Data Science |
INR 25,50,000 - 29,00,000 (AUD 48,000 - 52,000) |
|
University of Queensland (UQ) |
MSc in Data Science |
INR 25,50,000 - 28,00,000 (AUD 47,000 - 51,000) |
MS in Data Science in Australia: Specializations and Syllabus
When pursuing an MS in Data Science in Australia, students can choose from various specialisations that align with their career goals. The curriculum is designed to provide a comprehensive understanding of data science, combining theoretical knowledge with practical applications.
Specialisations
Here are the most common specialisations offered during the study of Master’s in Data Science in Australia.
- Machine Learning: Focuses on developing algorithms that allow computers to learn from and make decisions based on data.
- Big Data Analytics: Involves analysing large datasets to uncover hidden patterns, correlations, and insights.
- Artificial Intelligence: Explores the creation of intelligent systems that can perform tasks that typically require human intelligence.
- Data Engineering: Covers the design, construction, and management of large-scale data processing systems.
- Business Analytics: Applies data science techniques to solve business problems and support decision-making.
- Statistical Modelling: Involves using statistical techniques to model and analyse complex data.
Syllabus Overview
The syllabus for an MS in Data Science in Australia is carefully structured to balance foundational knowledge with advanced, specialised topics.
Core Modules |
Specialisation Modules |
Introduction to Data Science |
Advanced Machine Learning |
Statistical Methods |
Big Data Technologies |
Data Mining |
AI and Deep Learning |
Programming for Data Science |
Business Intelligence |
Data Visualization |
Cloud Computing for Data Science |
Ethics in Data Science |
Data Warehousing and ETL Processes |
Capstone Project |
Advanced Statistical Modeling |
Eligibility and Admission Requirements to Study Master’s in Data Science in Australia
To pursue a Master’s in Data Science in Australia, prospective students must meet specific eligibility criteria and fulfil several admission requirements. Below is a detailed breakdown of what is needed:
Academic Prerequisites
- Bachelor’s Degree: A recognised undergraduate degree in a relevant field such as Computer Science, Mathematics, Statistics, Engineering, or a related discipline.
- Minimum GPA: Typically, a minimum GPA of 3.0 on a 4.0 scale (or equivalent) is required, though this may vary by university.
- Prerequisite Knowledge: Proficiency in programming languages (e.g., Python, R) and a solid understanding of mathematics and statistics are often expected.
Language Proficiency
English Language Tests:
- IELTS: Minimum overall score of 6.5, with no band less than 6.0.
- TOEFL: Minimum score of 79, with specific section requirements.
- PTE Academic: Minimum score of 58, with no communicative skill score below 50.
Exemptions: Some universities may exempt students from English language tests if their previous education was conducted in English.
Documentation Required
- Transcripts: Official academic transcripts from all previous institutions attended.
- Degree Certificate: Proof of completion of your undergraduate degree.
- Statement of Purpose (SOP): A well-crafted SOP detailing your interest in data science and career aspirations.
- Resume/CV: An updated resume highlighting your academic achievements, work experience, and relevant skills.
- Portfolio (if required): Some universities may ask for a portfolio showcasing relevant projects or research work.
Visa Requirements
- Student Visa (Subclass 500):
- Confirmation of Enrolment (CoE): Proof of acceptance into a recognised Australian institution.
- Financial Proof: Evidence of sufficient funds to cover tuition fees, living expenses, and travel costs.
- Overseas Student Health Cover (OSHC): Mandatory health insurance for the duration of your stay.
- Genuine Temporary Entrant (GTE) Requirement: A statement explaining your intention to stay in Australia temporarily for study purposes.
Cost Studying MSc in Data Science in Australia for Indian Students
When planning to pursue an MSc in Data Science in Australia, it’s essential to consider both the duration of the course and the associated tuition fees. Here’s a detailed breakdown:
Course Type |
Course Duration |
Tuition Fees (Approx.) |
Full-Time MSc in Data Science |
2 years |
INR 25,00,000 - 32,00,000 (AUD 46,000 - 60,000) |
Accelerated MSc in Data Science |
1.5 years |
INR 22,00,000 - 29,00,000 (AUD 40,000 - 54,000) |
Part-Time MSc in Data Science |
3 - 4 years |
INR 12,00,000 - 16,00,000 per year (AUD 22,000 - 30,000) |
- Living Expenses: The cost of living varies by city, but on average, students can expect to spend between INR 10,00,000 to 15,00,000 (AUD 29710) per year.
- Accommodation: Housing costs can range from INR 5,00,000 to 9,00,000 (AUD 9,000 - 17,000) annually, depending on the type and location.
- Health Insurance: Overseas Student Health Cover (OSHC) is mandatory and can cost between INR 40,000 to 70,000 (AUD 750 - 1,300) per year.
- Study Materials: Books, software, and other study materials typically cost INR 1,00,000 to 1,50,000 (AUD 1,800 - 2,800) per year.
- Visa Fees: A one-time student visa fee is approximately INR 36,000 (AUD 1600).
- Transportation: Depending on the city and personal habits, transportation costs can range from INR 60,000 to 1,00,000 (AUD 1,100 - 1,800) annually.
Related Blog: Cost of Studying in Australia Cost of Living in Australia
Data Science & Big Data Scholarships in Australia
Australian universities and organisations offer several Scholarships for MSc in Data Science in Australia to support Indian students and other international applicants. These scholarships help offset tuition fees and living expenses, making it easier to pursue a degree in Data Science. Below is an overview of notable scholarships available:
Scholarship |
Description |
Eligibility Criteria |
Awards |
Australian Government Research Training Program (RTP |
Provides funding for international students undertaking research degrees, including Data Science. |
Must be enrolled in a research degree; academic excellence required. |
Covers tuition, living costs, and travel (up to INR 16,50,000 - 30,00,000 per year; AUD 30,000 - 60,000) |
University of Melbourne Graduate Research Scholarships |
Supports international students in graduate research programs, including Data Science. |
Outstanding academic record, research potential, and relevant background. |
Tuition, and living stipend up to INR 18,50,000 - 19,50,000 per year (AUD 33,000 - 35,000). |
University of Sydney International Scholarship |
Provides financial support based on academic merit for various programs, including Data Science. |
Academic excellence and high achievement in previous studies. |
Up to INR 22,00,000 - 23,00,000 (AUD 40,000 - 42,000) for tuition fees. |
Monash International Leadership Scholarships |
Supports international students demonstrating leadership potential and academic excellence. |
High academic performance and leadership experience are required. |
Up to INR 27,00,000 - 28,00,000 (AUD 50,000 - 52,000) for tuition fees and living expenses. |
Australian National University (ANU) International Postgraduate Scholarships |
Funding for exceptional international students pursuing postgraduate programs, including Data Science. |
Academic excellence and potential for success in the chosen program. |
Covers tuition and living costs up to INR 18,50,000 - 22,00,000 (AUD 33,000 - 40,000). |
International Student Scholarships by UQ |
Financial assistance for international students with excellent academic records and leadership potential. |
High academic performance, relevant background in Data Science or related fields |
Up to INR 13,50,000 - 18,50,000 (AUD 25,000 - 33,000) for tuition and living expenses. |
Global Study Awards |
International scholarship program for students studying abroad, including those in Data Science and Big Data programs |
Open to all international students; requires a personal statement and evidence of academic achievements. |
Up to GBP 10,000 (approximately INR 9,50,000 - 19,00,000; AUD 19,000) towards tuition fees. |
- Eligibility Criteria: Includes academic excellence, relevant background in Data Science, and sometimes leadership potential.
- Application Deadlines: Varies by scholarship; check individual scholarship websites for specific deadlines.
- Award Amounts: Range from partial to full tuition coverage, including additional living expenses.
Career Scope After Studying MS in Australia for International Students
Completing an MS in Data Science in Australia opens a wide range of career opportunities in a booming field. Below is a list of potential career roles and their corresponding salaries:
Job Role |
Salary in INR (AUD) |
Data Scientist |
INR 15,00,000 - 25,00,000 (AUD 27,000 - 45,000) |
Data Analyst |
INR 10,00,000 - 18,00,000 (AUD 18,000 - 32,000) |
Machine Learning Engineer |
INR 20,00,000 - 30,00,000 (AUD 36,000 - 55,000) |
Big Data Engineer |
INR 18,00,000 - 28,00,000 (AUD 32,000 - 50,000) |
Business Intelligence (BI) Analyst |
INR 12,00,000 - 22,00,000 (AUD 22,000 - 40,000) |
Data Engineer |
INR 14,00,000 - 24,00,000 (AUD 25,000 - 43,000) |
Quantitative Analyst |
INR 16,00,000 - 26,00,000 (AUD 29,000 - 47,000) |
Takeaway
Studying for a Master’s in Data Science in Australia gives international students access to top-notch education and fantastic career opportunities. Australian universities are globally recognised for their excellence, offering a curriculum that is both rigorous and supportive.
The demand for data professionals in Australia has skyrocketed by over 70% in the past five years, which means graduates can expect competitive salaries ranging from INR 10,00,000 to 30,00,000 (AUD 18,000 to 55,000) per year.
Ready to unlock your future in data science? At AECC, we can help you explore top universities in Australia and guide you through every step of your application process for a Master’s in Data Science. Contact us today to start your journey towards a successful career in data science!