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Masters in Data Science in Australia: Course Guide for International Students

Supriya Sarkar Supriya Sarkar
Study Abroad Expert

Pursuing a Masters in Data Science in Australia takes 1-2 years depending upon the prior qualification and experience of a student. Australian Universities offer a graduate degree in Data Science in the form of PG Diploma and Masters across the subject areas of Data Science, Information Technology, and Analytics.

Masters in Data Sciences primarily revolves around the concepts of Mathematics and Computing and can be opted by anyone from the allied fields. Through this course, students will be able to develop meaningful insights from the data gathered. 

Why Study Masters in Data Science in Australia?

Every year thousands of international students head forward to study in Australia, especially to pursue higher education from Australia.

  • By September 2019, Australia witnessed a surge of 11% in the international student enrollment with atotal enrolment of 720,150 students in various subjects.
  • In the coming years, the demand of the data scientists will take a high leap such that any data scientist will be earning three times the salary of the median salary of Australians.
  • One of the surveys conducted by the Institute of Analytics Professionals of Australia (IAPA) states that the data scientists at the top position may earn up to 30,0000 AUD annually.
  • Economic surveys conducted by Deloitte in 2017 states that the Data Science workforce in Australia is likely to soar from 301,000 individuals in 2016-17 to 339,000 individuals in 2021-22. 
  • An increase of around 38,000 employees at an average growth rate of 2.4% every year.
Data Scientist Employment Trend in Australia

Graph 1: The above-given graph depicts the predicted number of data scientists to be employed in Australia in the upcoming year based upon previous predictions (Between the years 2017 and 2022).

Program Highlights

Level of DegreeGraduate
Types of DegreesMS (AQF Level 8)
Duration1-2 years
Types of ProgramsGraduate Diploma and Masters
Admission ProcessBased upon 4-year Bachelor's degree/Equivalent
English Proficiency RequirementIELTS: 6.5; TOEFL (internet-based): 87
Average Tuition Fee37,000 AUD
Average Salary100, 697 AUD

Masters in Data Science in Australia: Top Universities

You can unleash the innumerable career opportunities in Data Science with these top universities in Australia for Data Science. Tabulated below are the basic details in regard with top universities offering the program:

RankInstitutionProgramDurationProgram Fee (AUD)
#32University of MelbourneMasters in Data Science271,242
#40The Australian National UniversityMaster of Applied Data Analytics*1.548,384
#42The University of SydneyMaster of Data Science146,000
#51-100University of New South Wales (UNSW)Master of Information Technology (Data Science)251,840
#51-100Monash UniversityMaster of Data Science1.5-233,600
#51-100University of QueenslandMaster of Data Science290,240
#51-100The University of Technology SydneyMaster of Data Science and Innovation2 (fulltime); 4 (part-time)79,104
#101-150RMIT UniversityMaster of Data Science271,040
#101-150The University of AdelaideMaster of Data Science
Master of Data Science (Applied)- Online**
#101-150Queensland University of Technology (QUT)Master of Data Analytics269,400
#151-200The University of Western AustraliaMaster of Data Science1.5 (fulltime); 2 (part-time)78,200

Masters in Data Science in Australia: Admissions

Planning to study abroad? International students who wish to study data science from Australia must be familiar with the following details. 

Where to apply

Most of the Australian Universities follow a more or less similar admission process. Being an international student, you will be directed towards the online application portal of the respective university. Alternatively, a few of the universities allow international applicants to apply through a set of approved agents in their home country.

Eligibility Criteria

In order to be eligible for a master degree in Data Science in Australia, an international student will require a 4-year undergraduate degree or equivalent in a relevant field

  • Fields in which UG can be done: Computer Science, Data Science, Statistics, Engineering, Physics, Economics, or Finance
  • A minimum average score of 65% or a GPA score of 5.0 on a 7-point scale.

Although the basic eligibility criteria to get admission into Data Science in Australia is similar in all the universities, there are a few criteria that differ university wise. Let’s have a look:

Institution NameUG Degree RequirementEnglish Language RequirementsAdditional Requirements
University of Melbourne65% (minimum) in a relevant subjectIELTS: 6.5
Prior knowledge of Computer Programming, Calculus, Linear Algebra
The Australian National UniversityMinimum GPA of 5.0/7.0IELTS: 6.5
3 years of relevant work experience for non-honours UG degree
The University of SydneyA UG degree with honours in a quantitative discipline* with a minimum credit average (65%)IELTS: 6.5
University of New South Wales (UNSW)70%IELTS: 6.0
Monash University60%IELTS: 6.5
University of QueenslandMinimum GPA of 5.0 on a 7 point scaleIELTS: 6.5
The University of Technology SydneyBachelor degree, or higher qualification, in a relevant disciplineIELTS: 7.5
TOEFL: 102 – 109
At Least 3 years of professional/industry experience
RMIT UniversityGPA of at least 2.0 out of 4.0 in a relevant fieldIELTS: 6.5
The University of AdelaideMinimum GPA of 4.5.*IELTS: 6.5
Queensland University of Technology (QUT)Minimum GPA of 4.0 (on QUT's 7 point scale).IELTS: 6.5
The University of Western AustraliaA bachelor's degree or an equivalent qualificationIELTS: 6.5

*A total of 12 units may be granted in advance to eligible applicants who have successfully completed the Big Data MicroMasters program with a minimum overall score of 65%.

Admission Requirements

Unlike other countries, Australia does not require international students to submit GRE or GMAT scores for getting admission into a master degree in Data Science. Here we bring you the documents essentially required by all:

  • Bachelor Degree Certificate: Proof of completion of a Bachelor degree is the minimum eligibility requirement. Scoring above 70% in Bachelors is decent enough to help you get into the MS in Data Science program.
  • Statement of Purpose: It constitutes the most important part of your application as it’s a mirror to your academic achievements and helps you state the facts that cannot be determined from your degrees. While writing these SOP you need to focus more upon your past accomplishments and your future career goals and your intent behind pursuing a Masters in Data Science. 
  • Letter of Recommendation: You need to arrange three letters of recommendation which should be preferable from your teachers or academic counsellors.
  • Curriculum Vitae/Resume: In case if you have had professional exposure to data science or statistics, you can produce it in the form of a CV/resume and enrich your application. Work experience of 2 years in a relevant field is pretty decent.
  • Overseas Students Health Insurance: It is a mandate to get yourself covered under the Overseas Students Health Insurance before taking any program in Australia. This will be valid throughout your course duration.
  • Visa: Upon acceptance of a full-time program, check if you meet the requirements of the Australian Student visa (subclass 500) and apply for it. Your promptness shall help you in attaining the visa much before the start of the program.

Admission Decision

After submitting your application, you need to wait around 6-8 weeks for the admission offer. The admission notification is usually sent either via post or through an email.

To accept the order, you need to pay the enrollment fee. Subsequently, the university will send you an ‘Electronic Confirmation of Enrolment’ (eCoE) through email. The email will contain information related to the course fee, course start date and the duration of the course. You will be required to produce eCoE while applying for a student visa to study in Australia.

Cost of Studying Masters in Data Science in Australia

Before planning a master degree in Data Science in Australia, it is imperative to outline the overall expenses that you need to incur for the entire course. Let’s get into the facts before jumping into any decision.

Pre-arrival Cost

The pre-arrival cost includes the expenses that you need to make while you decide to pursue masters in data science from Australia. This majorly includes the cost of the standardized tests one needs to take, visa cost and health insurance cost.

  • Cost for standardized tests: Among the tests required to study in Australia, you will be required to take only the English language test if you are hailing from a non-English speaking country. A few such popular English language tests and their cost are tabulated below.
ExamCost (AUD)Cost (INR)
IELTS215-240 AUD13,250
TOEFL (ibt)160-250 AUD11,468-17,919
PTE Academic37513,300
Occupational English Test58727553
Cambridge C1 Advanced Test1296000
  • Visa: You will require a student visa ( subclass 500) for pursuing education in Australia. Before making an application for a visa, make sure that you meet the requirements for an Australian student visa. The cost for an Australian Visa majorly costs around 620 AUD; 29,187 INR
  • Overseas Students Health Insurance Cost (OSHC): It is essential to get OSHC and get yourself insured before arriving in Australia. This will cost you around 438 AUD per year; 20657 INR
  • Flight tickets: Travelling to Australia from India will cost around 594-720 AUD, i.e., 28,000-34,000 INR
  • Deposit Payment: All the universities in Australia will require you to make the deposit payment to confirm your admission. The enrolment fee differs from institution to institution.

Post-Arrival Cost

Most of your post-arrival cost is tuition fees, the remaining of it is the cost of living in Australia. Given below is an image comparing the cost of study (tuition & and accommodations) at popular universities offering the program:

Cost of Study by University in Australia

Masters in Data Science in Australia with Scholarships

ScholarshipAmount (AUD)UniversityEligibility
Melbourne School of Engineering Scholarship5000 - 20,000University of MelbourneHigh academic excellence is eligible to apply
ANU College of Engineering and Computer Science International Postgraduate Merit Scholarship25% rebate on tuition feeAustralian National UniversityBased upon the merit, automatically considered
School of Computer Science Master of Data Science Entry Scholarship6000 (one-time)The University of Sydneyacademic merit, and performance in quantitative subjects
Future of Change Scholarship UGCE12835000/yearUniversity of New South Wales (UNSW)Indian students demonstrating high academic excellence, automatic consideration, no interview required
Monash International Merit Scholarship50000/yearMonash UniversityMeritorious international student
UQ Future Students Postgraduate Scholarship for High Achievers - IndiaA rebate of 5000 AUD is offered on the tuition fee for Sem 1 and 2 respectivelyUniversity of QueenslandIndian students with a GPA of 6.0 on a 7-point scale are eligible to apply
International Postgraduate Coursework Full Tuition Scholarship100% rebate on tuition feeThe University of Technology SydneyMeritorious international students
Future Leaders Scholarship20% rebate on tuition feeRMIT UniversityStudents from India, Sri Lanka, Bangladesh, Bhutan, Nepal or Pakistan intending to study UG or PG courses at RMIT
Global Academic Excellence Scholarship (International)50% rebate on the tuition fee is granted by the corresponding facultyThe University of AdelaideInternational students with an ATAR of 98 or 6.8 GPA are eligible
International Merit Scholarship25% rebate on the tuition feeQueensland University of Technology (QUT)Indian Students with CBSE or ICSE certificate: Above 80% in the best 5 subjects

Looking for more scholarships to study in Australia, find out more

Job Prospects in Australia for Data Science Graduates

On average, a data scientist graduate earns up to 94,970 AUD in Australia. The salary varies as per experience and also the city one works in. The top designations and salary of the data science graduates are tabulated below:

DesignationSalary Range
Data Analyst50000-99000 AUD
Software Engineer55000-111000 AUD
Software Developer50000-99000 AUD
Senior Data Analyst71000-123000 AUD
Business Analyst (IT)57000-111000 AUD
Senior Data Scientist71000-123000 AUD
Senior Software Engineer/Developer/Engineer77000-134000 AUD
Senior Software Engineer81000-140000 AUD
Data Engineer61000-134000 AUD
Software Engineer/Developer/Programmer51000-104000 AUD

The graph given below depicts the salary distribution of data scientists depending upon their salary and the top cities they are working in.

City Wise Salary of a Data Scientist in Australia

With the advancement of technology, Data Science has created a niche for itself in a variety of domains be it the healthcare sector, retail marketing or Life sciences. Across the globe, students are looking forward to this subject area for lucrative career opportunities.

Considering everything discussed above, taking up a Masters in Data Science in Australia may open great avenues for a bright career ahead. So if you are passionate enough to gather data and draw meaningful insights then this course can be the right fit for you!


Ques. Is Australia good for Masters in Data Science?

Ans. Masters in Data Science is the most popular course among international students in Australia. A master degree in Data Science from an Australian University can fetch you jobs offering a salary of up to 300000 AUD annually.

Ques. Which University is best for Masters in Data Science in Australia?

Ans. The University of Melbourne, The Australian National University and The University of Sydney are the top-3 universities in Australia offering a comprehensive curriculum in Data Science at masters level.

Ques. Are Data Scientists in demand in Australia?

Ans. Data Scientists are in high demand in Australia. The count of Data Science employers is likely to increase to 335000 in the upcoming year, i.e, in 2020-2021.

Ques. How long is a Masters in Data Science in Australia?

Ans. In Australia, a master degree in Data Science takes around 1.5-2 years for completion.

Ques. What are the requirements for the Masters in Data Science in Australia?

Ans. Most of the Australian universities will require a bachelor's degree with a minimum of 65%, a GPA of around 5.0 on a 7-point scale and prior knowledge of statistics, algebra and computer programming.

Ques. Do Australian Universities allow Masters in Data Science in Australia without a relevant degree?

Ans. Yes, provided you have attained the minimum required percentage in the degree completed and is able to demonstrate adequate and relevant experience in the field. Furthermore, a strong personal statement, good letters of recommendation and curriculum vitae can give you an edge over others.

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