Master of Data Analytics in Australia: Latest Guide 2025

Written by

Aditya Raj

Fact check by

Divyansh Chaudhari

Updated on

Sep 22,2025

Master of Data Analytics in Australia- TerraTern

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Key Highlights

Studying master of data analytics in Australia is an excellent opportunity for everyone to pursue their dream career in a data-focused economy. Australia has realised itself as a global leader in data science education, and more Australian universities are continuing to emerge as the top institutions in the world regarding analytics programs.

Benefits of Master of Data Analytics in Australia

Here are the key benefits of pursuing a master of data analytics in Australia.

1. High Quality Education

2. Employment Opportunities

3. Industrial Connections

4. Scholarships Available

5. Better Lifestyle

6. Global Recognition

Latest Facts and News

  • According to a recent report by the Australian Computer Society, the demand for data analytics professionals in Australia is expected to grow by 27% over the next five years.

  • The Australian government has identified data science as a key priority area and has invested heavily in initiatives to support the sector's growth.

  • Leading universities in Australia, such as the University of Melbourne and the University of Technology Sydney, have recently launched new Master of Data Analytics programs to meet the growing demand for skilled professionals.

Comprehensive Guide for Master of Data Analytics in Australia

Comprehensive Guide for Master of Data Analytics in Australia-TerraTern

The master's degree in data analytics is a master's degree in Australia that qualifies as one of the most tactical investments in education by those professionals who hope to thrive in the data-driven economy. The integrated offering of higher statistical skills, machine-learning tools, and business-intelligent applications will enable graduates to move up into leadership in analytics.

Program Overview

Various institutions in Australia provide specialisation in the fields of data analytics, including:

  • Computational Data Science: The emphasis here is on programming, algorithms and computer-based processing of extensive data

  • Business Analytics see it as a strategic decision-making and market analysis focus.

  • Better estimations of order and risk parameters - Predictive Analytics

  • Training in an innovative environment and sensor net data analytics

Cost Structure Analysis

The master's degree in data analytics in Australia varies significantly based on institution ranking and program specialisation:

University Tier

Annual Tuition (AUD)

Total Program Cost (AUD)

Group of Eight Universities

45,000 - 58,000

90,000 - 116,000

Technology-Focused Institutions

35,000 - 45,000

70,000 - 90,000

Regional Universities

28,000 - 38,000

56,000 - 76,000

 

Program Duration and Structure

Most master's degrees in data analytics in Australia will have a 2-year aspect to it:

  • Year 1: Statistics, programming and data management

  • Year 2: Capstone and specialities

  • Faster Options: There are 1.5-year accelerated programs in some institutions for selected candidates

Career Outcomes

The employment outcomes of graduates are always excellent:

  • Employment Rate: Graduates get jobs in 6 months 94% of the time

  • Annual Salary wide Packaging range, $AUD 85,000 to 110,000 start salary

  • Career Progression: 67 per cent of the respondents become senior analysts in under 3 years.

Also Read: Data Analyst Jobs in Canada: Explore the Lucrative Landscape

Why Choose a Master of Data Analytics in Australia?

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Here are a few reasons why one should pursue a master of data analytics in Australia: 

1. High Quality Education

Australian universities are renowned for providing high-quality education. They have high standards for academic excellence, research facilities, and experienced faculty. Pursuing a master's in data analytics in Australia increases the credibility of the degree as universities have global recognition. The cost of a master of data analytics in Australia is around AUD 35,000 to AUD 50,000 per year, which is affordable compared to other universities. Apart from that, the student experience provided in Australia is top-notch and helps students grow.

2. Employment Opportunities

Pursuing master of data analytics in Australia increases the chances of employability. There are numerous employment opportunities for data analytics in the country across various sectors, such as finance, healthcare, marketing, and government. This helps freshers gain job prospects after completing their education in Australia. 

3. Industrial Connections

Most Australian universities, such as the University of Melbourne, the Australian National University, etc., have good industrial connections. These connections help the students find valuable internship opportunities in the working sector during their studies. This increases the practical knowledge and upskills the students.

4. Scholarship 

Many Australian universities have scholarships and financial aid available for international students. This helps international students to support their living and education in Australia. The average master of data analytics cost in Australia is around AUD 33,600 to AUD 50,000 per year. The scholarship grants help pay the tuition fees based on the merit of students.

5. Quality of Life

Australia is known for its high quality of life. The country is well-equipped with the latest technological advancements and facilities. Apart from that, Australia has a vibrant culture that attracts students and professionals from all over the globe. This is just because the country provides a better lifestyle and a safe environment. 

Career Outcomes & Salary Prospects for Master of Data Analytics in Australia

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Graduates of a Master of Data Analytics in Australia are highly sought after across multiple industries, including finance, healthcare, technology, consulting, and government. Typical job roles and their average annual salary ranges (2025 estimates) include:

Job Title

Average Salary (AUD)

Data Analyst

68,000 – 110,000

Data Scientist

90,000 – 138,000

Business Intelligence Analyst

80,000 – 120,000

Analytics Consultant

95,000 – 130,000

Data Engineer

100,000 – 145,000

Top employers for data analytics graduates in Australia include Deloitte, Google, IBM, Commonwealth Bank, and Telstra. Many universities partner with leading companies to offer internships, industry projects, and networking opportunities, enhancing graduate employability.

Step-by-Step Application Process for Master of Data Analytics in Australia

Applying for a Master of Data Analytics in Australia involves several key steps:

  1. Research and Shortlist Universities: Compare programs, specialisations, and entry requirements.

  2. Prepare Required Documents: Academic transcripts, degree certificates, English language test scores (IELTS/TOEFL/PTE), resume/CV, statement of purpose, and reference letters.

  3. Check Application Deadlines: Most intakes are in February and July; check university websites for specific dates.

  4. Submit Online Application: Complete the application form on the university portal and upload all documents.

  5. Pay Application Fee: Fees typically range from AUD 100 to 150 per application.

  6. Attend Interviews (if required): Some universities may conduct interviews or request additional assessments.

  7. Receive Offer Letter: Successful applicants receive a conditional or unconditional offer.

  8. Accept Offer and Pay Deposit: Secure your place by accepting the offer and paying the tuition deposit.

  9. Apply for Student Visa: Gather the offer letter, Confirmation of Enrolment (CoE), financial documents, and health insurance for the visa application.

  10. Arrange Accommodation and Travel: Finalise living arrangements and book flights to Australia.

Tip: Start preparing at least 8–12 months before your intended intake.

Program Structure and Curriculum for Master of Data Analytics in Australia

Program Structure and Curriculum-TerraTern

The Master of Data Analytics in Australia typically consists of a combination of core units and electives. This allows the students to tailor their learning experience to their interests and career goals. There are various core subjects, electives and practical experiences for students in the course. Here’s an insight on the program structure and curriculum for Master of data analytics in Australia.

1. Core Subjects

1. Machine Learning

2. Statistical Methods

3. Foundation of Data Science

4. Data Visualisation

5. Data Mining

2. Electives

1. Business Analytics

2. Advanced Machine Learning

3. Social Media & Web Analytics

4. Financial Data Analytics

5. Health Data Analytics

3. Practical Experience

1. Research Opportunities

2. Internships

3. Real-World Projects

4. Communication Skills

5. Ethics & Data Privacy

These are the various courses offered during master of data analytics in Australia. The courses are offered during 4 semesters in 2 years. 

Also Read: Freshers Job in Australia for Indian- Latest Guide

Top Institutions for Master of Data Analytics in Australia

Here are the top institutions for pursuing master of data analytics in Australia. The list also provides insight on course duration and average master of data analytics cost in Australia:

University

Duration

Tuition Fees per year (AUD)

Tuition Fees per year (INR)

University of Melbourne

2 years

AUD 45,000

INR 25,31,702

University of Sydney

1.5 years

AUD 49,500

INR 27,85,674

Australian National University

1.5 - 2 years

AUD 48,384

INR 27,22,869

Monash University

2 years

AUD 42,000

INR 23,63,072

University of Queensland

1.5 - 2 years

AUD 45,120 

INR 25,39,184

University of New South Wales

1.5 - 2 years

AUD 47,040

INR 26,47,075

University of Technology Sydney

2 years

AUD 42,000

INR 23,63,072

RMIT University

2 years

AUD 38,400

INR 21,60,878

University of Western Australia

2 years

AUD 39,900

INR 22,45,287

Macquarie University

2 years

AUD 40,000

INR 22,50,544

Imp Note: These are the approximate numbers for the cost of master of data analytics in Australia.

 

Comparison of Top Master of Data Analytics Programs in Australia (2025)

Below is a chart of top Master of Data Analytics Programs in Australia:

University

QS Rank (2025)

Duration

Tuition (AUD/year)

Specializations

Unique Features

University of Melbourne

14

2 yrs

50,272

AI, ML, Business Analytics

Industry projects, Deloitte/IBM collab

ANU

34

2 yrs

49,330

Applied Analytics

Real-world problem solving

Monash University

42

2 yrs

46,000

Big Data, Health Analytics

Capstone, strong alumni network

UNSW Sydney

19

1.7 yrs

47,760

Data Science, Analytics

Fast-track, flexible electives

QUT

189

2 yrs

39,300

Biomedical, Stat Data Sci

Specialisation options, capstone

 

Specialisations and Career Pathways for Master of Data Analytics in Australia

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The master's in data analytics in Australia has varied specialisation titles that match industry requirements and career goals. Appreciating these pathways is vital in ensuring maximum investment in your education and value in your career.

Core Specialisation Areas

1. Business Intelligence & Strategic Analytics

  • Some zones of focus: Market research, market segmentation, and improvement of performance

  • Jobs Business Analyst (AUD 75,000- 95,000), Data Consultant(AUD 85,000- 110,000)

  • Top companies: McKinsey, Deloitte, PwC, big banking kehest

2. Machine Learning & Artificial Intelligence

  • Domain: Forecasting, Neural network, Deep learning

  • The courses will result in you earning an ML Engineer (AUD 95,000 - 130,000), an AI/ML Specialist (AUD 110,000 - 150,000)

  • The best companies to work at are Google, Microsoft, Atlassian, and Canva

3. Healthcare Analytics

  • The areas of specialism: health informatics, epidemiological research, and clinical data testing

  • Careers: Health Data Analyst (AUD 80,000105, 000), Clinical Research Coordinator

  • Top employers: NSW Health, Victorian Health, and pharmaceutical companies

4. Financial Analytics & Risk Management

  • Expériences professionnelles: algo trading, credit risk modelling, reg compliance. Career The predicted jobs are Career outcomes: Risk Manager (AUD 100,000-140,000), Quantitative Analyst

  • Best employers:  Commonwealth Bank, Westpac, ASIC, investment firms

5. Digital Marketing & Consumer Analytics

  • Compétences: Digiamping Data Activity, Customer Life Style Value, Social Media, Analytics.

  • The Best In Machine Learning. We are seeking a Top Marketing Analyst 2 Job $70,000 - $90,000

  • Best Employers: REA Group, social media agencies, Woolworths, Coles

Industry Partnerships and Internship Opportunities:

Australian universities have an active partnership with top organisations:

  • Australia Industry capstones with the actual industry challenges

  • University of Adelaide: Government agencies - Data science internships

  • The Curtin University: Innovation Central Perth Collaboration

Emerging Career Opportunities:

  • Data Ethicist (80000-10,000 AUD)

  • Quantum Computing Engineer (AUD 110 000 – AUD 160 000).

  • Sustainability Data Scientist (AUD 85,000-115,000)

  • IoT Analytics Engineer (AUD 95,000-125,000)

Also Read: Data Scientist Salary in Australia: Latest Insights

Post-Graduation Work Opportunities and Visa Pathways for Master of Data Analytics in Australia

a person holding a ball point pen; Master of Data Analytics in Australia: TerraTern

After completing a master's data analytics in Australia, one unlocks excellent opportunities to pursue a career in a data-driven economy that provides prospects. Our familiarity with our visa and job prospects will ensure you maximise your investment.

Post-Study Work Visa (Subclass 485)

Temporary Graduate Visa Benefits:

  • Term of Enrolment: 2-4 years according to the degree level and the industry of location

  • Labour Rights: The right to full-time employment under any profession

  • Study Bonus: An Extra year or two for graduates of regional universities

  • Partner Benefits: Eligible partners get authorisation to work

Application Requirements:

  • Graduation from a CRICOS-recognised program for more than 2 years

  • 6 months after graduation

  • Physical and Moral Capacities

  • Speak good English (IELTS 6.0, or the equivalent)

Skilled Migration Pathways:

Priority Occupation Categories for Data Analytics Graduates:

  • ANZSCO 261111 ICT Business Analyst - Shortage

  • Systems Analyst (ANZSCO 261112) - Priority occupation - skills shortage

  • Multimedia Specialist (ANZSCO 261211) - new priority

  • Regional opportunities ANZSCO 224113 Data Analyst

Permanent Residency Routes:

Visa Category

Processing Time

Key Requirements

Skilled Independent (189)

8-12 months

65+ points, occupation on skilled list

Skilled Nominated (190)

6-10 months

State nomination, 60+ points

Regional Skilled (491)

4-8 months

Regional nomination, 55+ points

 

Industry Sponsorship Opportunities

High-Demand Employers for Visa Sponsorship:

  • Tech companies (Atlassian, Canva, Seek ) - 87 per cent sponsorship rate.

  • In second place, with a 78 per cent sponsorship rate, financial services (Big Four banks, fintech startups) are right behind.

  • Government (ABS, AC,  CC State Govts) - 65% Backing

  • Corses (McKinsey, BCG, Deloitte) - 92% sponsor.

Regional Opportunities with Enhanced Benefits:

  • Queensland: Brisbane and Gold Coast at a science-only

  • South Australia: Tech students can be incentivised by the government

  • Western Australia - Mining industry analytics jobs

  • Tasmania: an extra 25 points under state nomination

Professional Development and Networking:

  • Australian Computer Society (ACS) member advantages

  • Data Science-related meetings and conferences in Melbourne

  • Institute of Analytics Professionals of Australia (IAPA)

  • Graduate programs sponsored by the government

Admission Requirements and Application Process for Master of Data Analytics in Australia

To get into the master of Data Analytics in Australia, one must be very careful and do their homework to know the specifics of each institution. Australian universities ensure a high level of standards and provide a variety of channels to eligible international applicants.

Academic Prerequisites

Minimum Qualifications:

  • Acquiring a Bachelor's level and a GPA of 2.7 / 4.0 (or 65 per cent of marks)

  • Mathematics/ statistics knowledge (calculus, linear algebra and probability knowledge)

  • R, Python and SQL code (not required)

  • The requirement in the English language: IELTS 6.5 (with no single band not more than 6.0) or PTE or TOEFL iBT 79

Preferred Qualifications:

  • Computer Science, Mathematics, Engineering, or business and a B.A. Degree

  • Work in the field of data analysis or other fields with related certifications ( Google Analytics, Microsoft Power BI, Tableau)

Application Process Timeline for Master of Data Analytics in Australia

Application Phase

Timeline

Key Activities

Research & Preparation

12-18 months prior

University selection, prerequisite completion

Document Compilation

6-8 months prior

Transcripts, references, and personal statements

Application Submission

3-6 months prior

Online applications, fee payments

Assessment Period

1-3 months

University review, interviews (if required)

Offer Response

2-4 weeks

Acceptance, visa applications

 

Required Documentation for Master of Data Analytics in Australia

  • This should include an official academic transcript with a certified translation

  • Two to the highest level of occupation or institution

  • Mission (500-1010 mots)

  • CV to something relevant

  • Data programs Portfolio (through which you can)

  • Visa capacity statements of finance

Application Tips for Success

  • Quantitative ability at the coursework or project level

  • Point out any knowledge of business or industry with data

  • Represent the objectives of career development within your statement of purpose

  • Apply as early as possible to secure more scholarshipsನ and apply early enough to have better chances of scholarship

Read More: Best City In Australia For Jobs, Students & Visitors

 

Conclusion

Overall, completing a master of data analytics in Australia has numerous benefits and advantages for students. It equips the students with all the skills and knowledge essential for students to become employable. The course's curriculum provides excellent opportunities for students to enhance their learning experience. Also, the top-notch universities in Australia ensure a good career path for students as they have globally recognised degrees. Apart from that, there are numerous work opportunities for students in the country due to Australia's constantly growing market industry. All these factors combined make Australia the best choice for students to pursue a master of data analytics in Australia.

If you want to pursue a master's in data analytics in Australia, then this guide is just for you, and to make your journey easier, TerraTern is right there for you.

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Aditya Raj

Content Marketing Specialist

I'm a graduate of journalism & mass communication with a passion for media and storytelling. With more than 5 years of ecperience in the immigration inustry, I have developed a strong understanding of the complexities and challenges of immigration policies and procedures.

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At TerraTern, we adhere to a stringent editorial policy emphasizing factual accuracy, impartiality, and relevance. Our content is curated by experienced industry professionals, and reviewed by editors to ensure high standards.

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Frequently Asked Questions

What are the entry requirements for a Master of Data Analytics in Australia?

Most programs require applicants to have a bachelor's degree in a relevant field such as computer science, statistics, or business. Some universities may also accept degrees in other disciplines if the applicant has substantial relevant work experience. For example, the University of Queensland requires a bachelor's degree (or equivalent) in a relevant discipline or any discipline plus three years of relevant work experience. Additionally, applicants may need to meet specific GPA requirements and demonstrate proficiency in English through tests like IELTS or TOEFL.

How long does it take to complete a Master of Data Analytics in Australia?

The duration of a Master of Data Analytics program in Australia typically ranges from 1 to 2 years of full-time study. Part-time options are also available, extending the duration to 2 to 4 years. For instance, the Queensland University of Technology offers a program that can be completed in 1 to 2 years full-time or 2 to 4 years part-time

What is the average cost of a Master of Data Analytics in Australia?

The cost of a Master of Data Analytics in Australia varies depending on the university and specific program. Generally, international students can expect to pay tuition fees ranging from AUD 35,521 to AUD 50,000 per year. For example, the University of Western Australia lists an indicative first-year fee of AUD 46,400 for their Master of Data Science program.

Are there any scholarships available for Master of Data Analytics programs in Australia?

Yes, many universities in Australia offer scholarships and financial aid for postgraduate students, including those pursuing a Master of Data Analytics. Scholarships may be based on academic achievement, financial need, or other criteria. For instance, Monash University offers the International Merit Scholarship, which provides AUD 10,000 per annum. Additionally, the Australian National University offers a range of scholarships to assist with the cost of studies.

What skills do I need to succeed in a Master of Data Analytics program in Australia?

To succeed in a Master of Data Analytics program in Australia, students need strong analytical and problem-solving skills. They should be proficient in mathematics, statistics, and computer science, and have the ability to translate data into actionable insights. Additionally, familiarity with data management, machine learning, and programming is beneficial. Programs like those at Deakin University emphasize the development of technical skills to harness the power of data through artificial intelligence and machine learning.