The Master of Data Science in Australia teaches one to obtain, and analyse data so as to draw meaningful information and patterns.
This degree has been coming in handy to find innovative solutions to real problems in science, business and government, from technology start-ups to global organisations.
Getting enrolled in MDS in Australia will help you hone your data skills at the frontier of machine intelligence research to become a data scientist for hire.
Additionally, you will also be prepared to work in or build intelligent data-driven systems in an existing area of expertise, improving scientific research through training in data management, analysis, modelling etc.
As a part of its curriculum, students learn-
- Data Curation
- High-Performance Computing
- Pattern Recognition
- Visualisation
- Data Engineering
- Machine Learning
- Statistical Learning
- Probability Models
- Uncertainty Modelling
MDS has such a pull that the number of students from different backgrounds- not related to Computer Science and Data Science- is increasing each year.
Why study Master of Data Science in Australia?
- The early-career salary for a Data Scientist is in the range of AUD 68,000 to 132,000 per year.
- MDS opens the doorway to lucrative careers like- Market researcher, Data scientist, Risk analyst, Supply chain analyst, Business intelligence analyst, Data miner, Big data engineer, Portfolio manager, Actuarial and analytics consultant, Software developer etc.
- Australia has got leading universities like the University of Melbourne, ANU, University of New South Wales to offer this course.
- The entry requirements to get into MDS in Australia is much easier compared to other countries like USA and Canada.
Top Universities for Master of Data Science in Australia
These are the apex universities in Australia where you can pursue a Master in Data Science and several majors under it.
Rank in Australia |
Rank |
University |
1 |
#32 |
University of Melbourne |
2 |
#40 |
The Australian National University |
3 |
#42 |
The University of Sydney |
4 |
#51-100 |
University of New South Wales (UNSW) |
5 |
#51-100 |
Monash University |
6 |
#51-100 |
University of Queensland |
7 |
#51-100 |
The University of Technology Sydney |
8 |
#101-150 |
RMIT University |
9 |
#101-150 |
The University of Adelaide |
10 |
#101-150 |
Queensland University of Technology (QUT) |
11 |
#151-200 |
The University of Western Australia |
MS in Data Science in Australia Fees
For an international student, the tuition fees for a Master in Data Science ranges from AUD 27,000 to AUD 50,000 per year.
University |
Annual tuition fees in AUD |
University of Sydney |
49,000 |
Melbourne Institute of Technology |
27,856.5 |
University of Melbourne |
46,496 |
University of Western Australia |
39,100 |
RMIT University |
37,440 |
University of South Australia |
34,800 |
University of New Castle |
38,495 |
Monash University |
44,900 |
University of Technology Sydney |
42,960 |
Edith Cowan University |
34,700 |
Master of Data Science in Australia Entry Requirements
Application Checklist
These are the general documents that you need to apply for MDS in Australia.
- Transcripts, character certificates and provisional certificates of intermediate and Bachelor level.
- English Language Scores- Should be valid
- Statement of Purpose (SOP)
- Application fees
- Experience letter for a gap or other specific conditions dictated by the university
- 1-3 Letter of Recommendations if asked by the university
- Identification documents like passport
University Specific Entry Requirements
University of Sydney
- Course Name: Master of Data Science
- Course Duration: 1 year
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 85, minimum 19 in writing and 17 in reading, listening and speaking
- PTE: Overall 61, minimum 54 in each band
- Academic Requirements: A 4-year Bachelor's degree in Data Science or other quantitative subjects with a minimum of 65%.
- Intakes: January and June
University of Melbourne
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 21 in writing, 13 in reading, 13 in listening and 18 in speaking
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: An undergraduate degree in computer science, data science, statistics etc, with at least 65%.
- Intakes: February
Monash University
- Course Name: Master of Data Science
- Course Duration: 1.5 to 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 21 in writing, 13 in reading and listening and 18 in speaking
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: A bachelor's degree in IT, engineering, science, database, mathematics with a minimum of 60% for a 1.5-year program. For 2 year MDS programs at Monash University, applicants can have bachelor's degrees in any field.
- Intakes: February and July
RMIT University
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 21 in writing, 13 in reading and 12 in listening and 18 in speaking
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: A Bachelor's degree or graduate certificate in computing, science, engineering, health or statistics with a minimum GPA of 2.0 out of a 4.0 scale.
- Intakes: February and July
Deakin University
- Course Name: Master of Data Science
- Course Duration: 1 -2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- Academic Requirements: The entry requirements differ based on the duration of the course.
- For a 1 year programme, students need to complete a Bachelor's degree in relevant discipline with a minimum of 2 years of experience.
- For the 1.5 year programme, students need to complete a bachelor's degree in related areas or a bachelor's degree in any field with 2 years of relevant work experience.
- For a 2 year MDS program, students with Bachelor's degrees in any stream can apply.
- Intakes: March, July, November
University of South Australia
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 18 in each band
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: Applicants need to have a Bachelor's degree with a minimum of 1-year full-time mathematics study or a graduate certificate in Data Science.
- Intakes: February and July
University of Adelaide
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 21 in writing, 13 in reading and listening and 18 in speaking
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: A Bachelor's degree in IT, Data Science, Computer Science, Statistics etc.
- Intakes: January, May and September
Charles Darwin University
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 79, minimum 21 in writing
- PTE: Overall 58, minimum 50 in each band
- Academic Requirements: Applicants need to successfully complete a Bachelor's degree from a recognized Australian board or other equivalent international qualification.
University of Queensland
- Course Name: Master of Data Science
- Course Duration: 1.5- 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- TOEFL: Overall 87, minimum 21 in writing, 19 in reading, listening and speaking
- PTE: Overall 64, minimum 60 in each band
- Academic Requirements: A Bachelor's degree in areas like IT, computer science, mathematics, statistics, physics, engineering, actuarial studies with a minimum GPA of 5.0 on a 7.0 scale.
Swinburne University of Technology
- Course Name: Master of Data Science
- Course Duration: 2 years
- Cut-Off English Test Scores:
- IELTS: Overall 6.5, minimum 6.0 in each band
- Academic Requirements: A Bachelor's degree in any field.
Scholarships
University |
Scholarship |
Scholarship Information |
Australian National University |
10kclub.io Scholarship |
Value: AUD 10,000 Selection basis: Academic merit Scholarship offered: 1 |
ANU Chancellor’s International Scholarship |
Value: 20 to 50% waiver on tuition fees. Selection basis: Academic merit Scholarship offered: 170 |
|
University of Technology Sydney |
Global Exchange Scholarship |
AUD 1000 |
Koch & Frances Inclusion and Diversity Scholarship |
AUD 18,000 |
|
UTS Vice-Chancellor’s International graduate Scholarship |
A full waiver on UTS Tuition fees |
|
Deakin University |
Deakin Sanctuary Scholarships |
Value: $5,000 paid per year as cash or towards tuition or a combination |
Deakin International Merit Scholarship (South Asia- Onshore) |
Value: 20 or 25% discount on your tuition fees |
Data Science Scope in Australia after Master degree
Since we live in a data-driven world that’s generating tremendous data via social media, financial transactions, transportation, scientific discovery etc., analysing those data can make life and business much easier.
Moreover, understanding, interpreting, and analysing data has been proven beneficial for business, government, or individually as citizens and consumers.
As a result, A master of Data Science degree has an alluring scope and reach.
This degree has been helping students gain skills in data management, data analytics and data processing etc.
Data Science jobs and Salary in Australia after completing Masters-
Data Science jobs on Australia |
Salary Range (AUD/year) |
Data Analyst |
50,000-99,000 |
Software Engineer |
55,000-111,000 |
Software Developer |
50,000-99,000 |
Senior Data Analyst |
71,000-123,000 |
Business Analyst (IT) |
57,000-111,000 |
Senior Data Scientist |
71,000-123,000 |
Senior Software Engineer/Developer/Engineer |
77,000-134,000 |
Senior Software Engineer |
81,000-140,000 |
Data Engineer |
61,000-134,000 |
Software Engineer/Developer/Programmer |
51,000-104,000 |