Masters in data science in Australia is a 1–2 years postgraduate course. Masters of data science Australia is offered in top universities like the University of Sydney, the University of Melbourne, etc. English proficiency test score like IELTS, TOEFL or PTE are required for admission in top Universities. The average cost of masters in data science in Australia course is AUD 35,000 (INR 18,69,108.44) -AUD 89,000 (INR 47,53,342.85). Some of the top recruiters for data science courses in Australia are CSIRO, Telstra, ANZ. The average salary earned by a data science graduate in Australia is AUD 3,00,000 (INR 16,029,791.08).
- Masters in Data Science in Australia Highlights
- Why Study Masters in Data Science in Australia?
- Masters in data science in Australia Areas of Specialization
3.1 Masters in Data Science in Australia vs Masters in Data Science USA - Top Universities in Australia for Masters in Data Science
- Masters in data science in Australia Admission Process
6.1 Eligibility Criteria for Masters in Data Science in Australia
6.2 Documents Required for Masters in data science in Australia
6.3 Application Fee for Masters in data science in Australia
6.4 Admission Deadline for Masters in data science in Australia
6.5 Masters in Data Science in Australia Score Requirements - Masters in data science in Australia Cost of Attendance
- Masters in data science in Australia Scholarships
- Jobs After Masters in data science in Australia
- Top Recruiters for Masters in Data Science in Australia
- Work Permit in Australia
- ROI for The Top Colleges Providing Masters in Data Science in Australia
- FAQ
Masters in Data Science in Australia Highlights
Mentioned below are the highlights to understand what is a master’s degree in data science in Australia include:
| Course Name | Masters in Data Science |
| Duration | 1 – 2years |
| Eligibility | Bachelor’s Degree with a minimum 65% |
| Average tuition fees | AUD 35,000 (INR 18,69,108.44) -AUD 89,000 (INR 47,53,342.85) |
| International Exams Required | TOEFL, IELTS |
| Job Roles | Data Analysts, Software Engineer, Software Developer |
| Average Salary | AUD 3,00,000 (INR 16,029,791.08) |
AUD 1= 53.40, as on 14th September 2023
Why Study Masters in Data Science in Australia?
Some key reasons to study Masters in data science in Australia are as follows:
- The course provides high return on investment with salaries three times better than the national average
- According to employment portal, the demand for data scientists in future will grow at an alarming rate
- Masters in data science Australia provides ample amount of part-time or internship opportunities to the candidates
- The average starting salary for Masters in data science Australia graduates is AUD 3,00,000 (INR 16,029,791.08).
Masters in Data Science in Australia Areas of Specialization
Data science masters in Australia offers applicants with several areas of specializations as mentioned below:
- Graduate Diploma of Applied Data Analytics: This focuses on areas of computation, statistics, or social science.
- Graduate Certificate in Data Science & Decisions: This specialization deals in the manipulation and interpretation of large amounts of data.
- Graduate Diploma in Data Science and Innovation: This area focuses on the latest technologies and innovations in the field of data science.
- Master of Data Science in Quantitative Finance: This specialization deals with the new types of financial risks.
- Bachelor of Computer Science with a major in Data Science: This focuses on the variety of tools and frameworks to examine patterns in data.
Masters in Data Science in Australia vs Masters in Data Science USA
Below-mentioned is a comparison of Masters in data science in Australia and USA:
| Particulars | Master in Data Science in Australia | Master in Data Science in USA |
| Duration | 1-2 years | 2 years |
| Average Tuition Fee | AUD 35,000 (INR 18,69,108.44) -AUD 89,000 (INR 47,53,342.85) | USD 21,000 (INR 17,42,272.98) – USD 75,000 (INR 62,22,403.49) |
| Job roles | Data Analysts, Software Engineer, Software Developer | Database Administrator, Data Engineer |
| Average Salary | AUD 3,00,000 (INR 16,029,791.08) | USD 2,43,000 (INR 20,160,587.32) |
AUD 1= 53.40, as on 14th September 2023
Top Universities in Australia for Masters in Data Science
MS in data science in Australia fees in the top universities offering the best data science courses in Australia are listed below:
| Name of University | Tuition Fees |
| University of Melbourne | AUD 80,622 (INR 43,08,033.89) |
| University of Sydney | AUD 53,000 (INR 28,31,144.16) per year |
| University of New South Wales | AUD 990 (INR 52,883.13) per credit |
| University of Queensland | AUD 51,200 (INR 27,34,501.46) |
| Monash University | AUD 38,900 (INR 20,77,288.79) annually |
| RMIT University | AUD 39,360 (INR 21,02,089.49) annually |
| Adelaide University | AUD 51,000 (INR 27,23,417.56) |
| La Trobe University | AUD 39,400 (INR 21,04,222.67) |
| Swinburne University of Technology | AUD 39,600 (INR 21,14,957.55) |
| Deakin University | AUD 31,000 (INR 16,55,734.91) |
AUD 1= 53.40, as on 14th September 2023
Masters in Data Science in Australia Admission Process
Masters in data science in Australia admission process is as follows:
- Choose a University
- Review course requirements
- Complete the application form
- Provide supporting documents
- Submit English proficiency test scores of IELTS, TOEFL, etc.
- Payment of application fee should be done
- Submit the application
- Keep a track on the status of your application
Eligibility Criteria for Masters in Data Science in Australia
Eligibility criteria for Master of Data Science in Australian Universities are as follows:
- Bachelor’s degree in subjects like Engineering, Computer Science, Data Science, Physics, Statistics, Economics, or Finance from a recognised university
- GRE/GMAT score of 550
- GPA of 5.0 on a scale of 7.0
- English proficiency test scores of TOEFL, IELTS, PTE, etc
Documents Required for Masters in Data Science in Australia
Masters in data science requirements to study data science courses in Australia are as follows:
Application Fee for Masters in Data Science in Australia
The application fee has to be paid before a student applies for Masters in data science in Australia fees. Below are the application fees of the top universities offering Masters in data science in Australia:
| University Name | Application Fee |
| University of Melbourne | AUD 120 (INR 6,411.90) |
| University of Sydney | AUD 150 (INR 8,011.96) |
| University of New South Wales | AUD 125 (INR 6,676.06) |
| University of Queensland | AUD 150 (INR 8,011.96) |
| Monash University | AUD 100 (INR 5,342.75) |
| RMIT University | AUD 100 (INR 5,342.75) |
| Adelaide University | AUD 110 (INR 5,877.25) |
| La Trobe University | No application fee required |
| Swinburne University of Technology | No application fee required |
| Deakin University | AUD 55 (INR 2,939) |
AUD 1= 53.40, as on 14th September 2023
Admission Deadline for Masters in Data Science in Australia
Mentioned below is the admission deadline for Masters in data science in Australia:
| University Name | Admission Deadline |
| University of Melbourne | October 31, 2023 |
| University of Sydney | January 15 June 25 |
| University of New South Wales | September 22 |
| University of Queensland | November 30 of previous year May 31 of same year |
| Monash University | October 18, 2023 |
| RMIT University | July 31, 2023 |
| Adelaide University | September 29, 2023 |
| La Trobe University | January 22, 2024 |
| Swinburne University of Technology | February 14 2024, July 17 2024 |
| Deakin University | February 18, 2024 |
Masters in Data Science in Australia Score Requirements
Below, listed are the Standard Score and English Language score requirements:
| University | ELP Requirement |
| University of Melbourne | IELTS: 6.5 TOEFL: 79 PTE: 58 |
| University of Sydney | IELTS: 6.5 TOEFL: Score accepted PTE: Score accepted |
| University of New South Wales | IELTS: 6.5 TOEFL: 90 PTE: 64 |
| RMIT University | IELTS: 7.0 TOEFL: 94 PTE: 65 |
| University of Queensland | IELTS: 6.5 TOEFL: 87 |
| Monash University | IELTS: 6.5 TOEFL: 79 PTE: 58 |
| Deakin University | IELTS: 6.5 TOEFL: Score required PTE: Score required |
| Adelaide University | IELTS: 6.5 TOEFL: 79 PTE: 58 |
| La Trobe University | IELTS: 6.5 TOEFL: 79 PTE: 56 |
| Swinburne University of Technology | IELTS: 6.0 TOEFL: 60 PTE: 50 |
Masters in Data Science in Australia Cost of Attendance
For queries on how much does it cost to study data science in Australia, students can check the info graph below:
| University | Average Living Cost |
| University of Melbourne | AUD 1300 (INR 69,368.25) |
| University of Sydney | AUD 21,041 (INR 11,22,751.88) |
| University of New South Wales | AUD 21,041(INR 11,22,751.88) |
| RMIT University | AUD 605 (INR 32,284.48) |
| University of Queensland | AUD 26,880 (INR 14,34,391.68) |
| Monash University | AUD 5,40,000 (INR 28,814,365.77) |
| Deakin University | AUD 77,320 (INR 41,25,790.30) |
| Adelaide University | AUD 16,800 (INR 896,446.94) |
| La Trobe University | AUD 19,200 (INR 10,24,495.76) |
| Swinburne University of Technology | AUD 32,000 (INR 17,07,492.93) |
AUD 1= 53.40, as on 14th September 2023
Masters in Data Science in Australia Scholarships
The various scholarships required for Masters in data science in Australia are listed below for student reference:
| University | Eligibility Criteria | Award |
| University of Melbourne | Merit Basis | AUD 8,000 (INR 4,27,074.05) |
| University of Sydney | Academic achievement | AUD 1,500 (INR 80,077.16) |
| University of New South Wales | Students who achieve a raw ATAR score (or equivalent) of 99.90 or above | AUD 10,000 (INR 533,847.75) |
| RMIT University | Must be an international student | Covers the tuition fees |
| University of Queensland | Academic excellence | AUD 32,192 (INR 17,18,562.67) per annum |
| Monash University | Merit based | AUD 50,000 (INR 26,69,205.22) |
| Deakin University | International student must have achieved at least a 65% average | 25% of your student contributions (tuition fees) |
| Adelaide University | Academic merit | 15% or 30% reduction toward international tuition fees |
| La Trobe University | International student applying for 2023/2024 intakes | Up to 30% reduction in course fees |
| Swinburne University of Technology | Automatically considered upon admissions | Up to AUD 4,000 (INR 213,536.42) |
AUD 1= 53.40, as on 14th September 2023
Jobs After Masters in Data Science in Australia
There are ample amount of job opportunities in Australia. The average salary of data scientist in Australia are as follows:
| Job Profile | Annual Salary |
| Data Analyst | AUD 83,430 (INR 44,54,090.71) |
| Software Developer | AUD 1,46,515 (INR 78,22,019.66) |
| Senior Data Analyst | AUD 111,284 (INR 59,41,559.97) |
| Senior Data Scientist | AUD 1,37,468 (INR 73,39,548.96) |
| Data Engineer | AUD 112,877 (INR 60,26,611.78) |
AUD 1= 53.40, as on 14th September 2023
Top Recruiters for Masters in Data Science in Australia
Australia data science jobs offered by top recruiters are given below:
- Commonwealth Bank
- Atlassian
- CSIRO
- Telstra
- ANZ
Work Permit in Australia
Candidates get an opportunity to stay back and work in Australia by availing 485 post-study work visa. Candidates can get an answer to is masters in data science worth it in Australia by observing the several job prospects that it offers. This visa allows you complete study and work rights, besides travelling. Candidates must possess a degree from a CRICOS-registered course as well as English proficiency requirements. This post study work visa can provide exciting careers in Australia. This applies to more options, more exposure, and more employability.
ROI for The Top Colleges Providing Masters in Data Science in Australia
Masters in data science in Australia at some top colleges and their ROI are as follows:
| University Name | Tuition Fees | Cost of Living | Total Expense | Average Salary | ROI |
| University of Melbourne | AUD 80,622 (INR 43,08,033.89) | AUD 1300 (INR 69,368.25) | AUD 81,922 (INR 43,72,824.38 | AUD 3,00,000 (INR 16,029,791.08) | +266.20 |
| University of Sydney | AUD 53,000 (INR 28,31,144.16) per year | AUD 21,041 (INR 11,22,751.88) | AUD 74,041 (INR 39,51,996.05) | +305.18 | |
| University of New South Wales | AUD 990 (INR 52,883.13) per credit | AUD 21,041(INR 11,22,751.88) | AUD 22,031 (INR 11,75,909.15) per credit | +1261.72% | |
| University of Queensland | AUD 51,200 (INR 27,34,501.46) | AUD 26,880 (INR 14,34,391.68) | AUD 78,000 (INR 41,63,266.01) | +284.62% | |
| Monash University | AUD 38,900 (INR 20,77,288.79) annually | AUD 5,40,000 (INR 28,814,365.77) | AUD 5,78,000 (INR 3,08,51,973.27) | -48.10% | |
| RMIT University | AUD 39,360 (INR 21,02,089.49) annually | AUD 605 (INR 32,284.48) | AUD 39,965 (INR 21,33,122.58) | +650.66% | |
| Adelaide University | AUD 51,000 (INR 27,23,417.56) | AUD 16,800 (INR 896,446.94) | AUD 67,800 (INR 36,18,809.24) | +342.48% | |
| La Trobe University | AUD 39,400 (INR 21,04,222.67) | AUD 19,200 (INR 10,24,495.76) | AUD 58,600 (INR 31,27,919.55) | +411.95% | |
| Swinburne University of Technology | AUD 39,600 (INR 21,14,957.55) | AUD 32,000 (INR 17,07,492.93) | AUD 42,800 (INR 22,84,519.92) | +600.93% | |
| Deakin University | AUD 31,000 (INR 16,55,734.91) | AUD 77,320 (INR 41,25,790.30) | AUD 1,08,320 (INR 57,82,124.98) | +176.96 |
AUD 1= 53.42, as on 4th September 2023
FAQs
Ques. Is Masters in Data Science worth it?
Ans. Master's in Data Analytics is an in-demand course in Australia, with reports indicating that Data Scientist professionals in Australia earn almost three times the national average salary.
Ques. Is Australia good for studying data science?
Ans. Data Science is a highly coveted field of study in Australia, top Australian universities offer various Data Science specializations. Some of the various Data Science courses offered by Australian universities include: Graduate Diploma of Applied Data Analytics. Graduate Certificate in Data Science & Decisions.
Ques. Which university is better for data science in Australia?
Ans. The best universities in Australia for studying Data Science include the University of Melbourne, the University of New South Wales, the Australian National University, Monash University, and the University of Queensland. Entry requirements vary depending on the university and the specific Data Science program.
Ques. Is it difficult to do Masters in data science?
Ans. Yes, because it demands a solid foundation in math, statistics, and computer programming, entering a data science degree can be difficult. The abilities and knowledge required to excel in this sector may, however, be acquired by anybody with the right amount of effort and commitment.
Ques. Is there demand for Data Science in Australia?
Ans. Data Scientists are in demand worldwide, and Australia is no different. With big data exploding across industries, Data Scientists are now the most in-demand professionals in the world. Following this career, you will have the option to stay within the country or to work abroad.
Ques. Which country has demand for data science?
Ans. According to reports, the United States is one of the top-paid nations for data scientists
Ques. Who is suitable to study data science?
Ans. Becoming a data scientist generally requires a very strong background in mathematics and computer science, as well as experience working with large amounts of data. In addition, it is often helpful to have experience with machine learning and statistical modeling.
Ques. What is the future of data science in Australia?
Ans. In 2022, data science ranked in the top five most in-demand and highest paying jobs in Australia. Its annual average growth rate is predicted to be 2.4 percent, according to Deloitte, a whole percentage point higher than the average job rate growth.
Ques. Who earns more than a Data Scientist?
Ans. It's important to understand that, on average, Machine Learning Engineers, in general, are paid considerably higher as compared to data scientists. The difference in salary for the two roles can also be accounted for by the difference in engineering/science background.
Ques. Is Python for data science hard?
Ans. Because Python is both easy to learn and powerful, its libraries and frameworks can be ideal for dealing with mathematical functions, data structures, and visualization. Here are some of the most common uses for Python in data science.?
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