Master of Data Science
4.0 /5
- Public University
School of Computing and Information Technology
Talk to ExpertMaster of Data Science at University of Melbourne Overview
Master of Data Science
at University of Melbourne
The University of Melbourne offers Master of Data Science course at PG level. Offered for a duration of 2 years, it is among the top-ranked courses offered by the university. Indian students are required to submit scores of exams such as IELTS, TOEFL and PTE to be eligible to get selected for the course. Additionally, Indian students also have to provide all the necessary documents as part of the admission process. The The University of Melbourne tuition fee for Master of Data Science is AUD 57,984 (INR 3,967,265) for first year. Along with tuition fees, the students are also required to manage living expenses. The average The University of Melbourne cost of living for Indian students is AUD 30,507 (INR 2,087,289).
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹38.91 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Data Science
Table of contents
Master of Data Science at University of Melbourne Fees
Master of Data Science
at University of Melbourne
When planning for the Master of Data Science, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of AUD 57,984 (INR 3,967,265). Additionally, it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the The University of Melbourne. However, accordingly to the official website the average cost of living that international students have to bear is AUD 30,507 (INR 2,087,289), annually. To know about the complete breakdown of the The University of Melbourne Master of Data Science fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 38,90,831 |
| Application Fee | INR 8,723 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 21,90,337 |
| Insurance | INR 43,750 |
Calculated at the exchange rate of 1 AUD = INR 67.10181 | Tuition & expenses were last updated on 21ˢᵗ October 2026Master of Data Science at University of Melbourne Curriculum
Master of Data Science
at University of Melbourne
International students can check the The University of Melbourne Master of Data Science curriculum. The course PDF comprises information such as subjects taught, electives available, other course content, and semester-wise course structure breakup.
Download exam sample paper
IELTS
IELTS
TOEFL
PTE
Master of Data Science at University of Melbourne Entry Requirements
Master of Data Science
at University of Melbourne
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- 65%
- Read less
- To be considered for entry into this course, students must have a UG degree or equal in any discipline with average marks of at least 65%, or equal, and at least 12.5 credit points one standard subject of university-level computer science or equal with content focused on computer programming, and successfully completed MAST10006 Calculus 2 and MAST10007 Linear Algebra or their equals
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GPA
Percentage
CGPA
Out of 4
TOEFL
- Marks - 79/120
- Read less
- with writing 21; speaking 18; reading 13; listening 13
-
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Convert your GPA to Percentage
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 4
PTE
- Marks - 64/90
- with no communicative skill below 60
IELTS
- Marks - 6.5/9
- with no band less than 6.0
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Master of Data Science at University of Melbourne Frequently Asked Questions
Master of Data Science
at University of Melbourne
Master of Data Science at University of Melbourne Rankings
Master of Data Science
at University of Melbourne
Course Ranking
University Ranking
| Rank | Rank Publisher |
|---|---|
| #33 | |
| #38 | |
| #201 |
Master of Data Science at University of Melbourne Placements
Master of Data Science
at University of Melbourne
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, Once students have taken care of any prerequisites, they can choose from a diverse list of data science or professional skills electives. If students like to gain experience in a science and technolo Once students have taken care of any prerequisites, they can choose from a diverse list of data science or professional skills electives. If students like to gain experience in a science and technology workplace or with research, they can do an 80–100-hour internship subject or take on an additional research project. |
Master of Data Science at University of Melbourne Students also asked
Master of Data Science
at University of Melbourne
The University of MelbourneStudents Ratings & Reviews
4/5
32 Verified ReviewsStudent Views (Based on Reviews)
- 29% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Multi-dimensional
Stressful
Friendly
Internships3.7
Part time work3.8
Post study jobs3.6
Quality of faculty4.3
Student Life4.2
Value for money3.4
Public transportation4.3
Safety4.3
Indian Food4.4
Permanent Immigration3.5
A
Anonymous
Master of Data Science - Batch of 2024
4.9
University of Melbourne Review
Tips: Be prepared for cultural shock. Making friends can be hard sometimes. Once you have a circle and good classmates, it gets easy with time. Make the most of your student life, apart from studies lot of opportunities to participate in student unions and events.
Likes (Indian Food): A lot of food options in the city, from India and vegetarian options. The city is filled with cuisines to try and explore. I prefer cooking most so I can spend less and save more. But depends on how good you are at cooking. Also, even if you don’t cook, you can always find spots that are cheap to eat out.
Dislikes (Internships): There are plenty of internships on the university’s career website, and easy to find unpaid opportunities in the city as well via LinkedIn. Sometimes networking helps a lot in getting internships. Connect with your seniors and professors to check in if they have any leads.
Total Monthly ExpenseAUD 2975
Prepping time for classes26 hours/Week
Expected Annual SalaryAUD 73650
A
Anonymous
Graduate Diploma in Built Environments (Advanced) - Batch of 2026
4.2
Research oriented university with vibrant campus life
Tips: The education system is very different from our country's. Everything is on the computer. My course only had one exam, and the rest were assignments. Yes, I availed myself of a scholarship. I didn't avail myself of it separately. It was automatically provided with my application. There are other scholarships that had to be availed related to the course and electives we are taking.
Likes (Permanent Immigration): One of the biggest draws of studying at the University of Melbourne is how well-structured the post-study pathways are out here. Australia uses a straightforward, points-based immigration system which makes the transition from a UniMelb degree to a post-study work visa feel incredibly clear-cut. The government actively hunts for skilled professionals to fill gaps in major industries, so graduation from a top institution right in the heart of Victoria gives you a massive competitive edge in the local job market. Honesty, the main reason I'd consider making the permanent move is the sheer quality of life and the work-life balance they have out here. Securing permanent residence doesn't just mean a stable career—it unlocks full access to their healthcare system and social services and sets up a direct path to citizenship. Living in a city like Melbourne while building a career under PR is a huge step up.
Dislikes (Internships): In my course, we have one unit dedicated to internships, but it is optional, and we only have to find it. There are industry nights that are conducted by student societies (Urban Collective in my case), but they happen once a year only. There are internships available, but they are very hard to get.
0Reviewed on 12 Jun 2026Read more
A
Anonymous
Master of Social Work - Batch of 2025
3.5
A breakthrough institution.
Tips: Definitely a lot of cultural change. I do feel there is an underlying racism in Australia although I didn't quite see that commonly translated in my University thankfully. I applied for several scholarships, which covered a significant portion of my tuition fees. Some scholarships are also available once students start the course as they are determined by academic merit.
Likes (Post study jobs): For social work, there are several companies willing to offer jobs that enable students to comfortably apply for a temporary graduate visa which can also be applied for without having a job.
In social work, jobs are clinical and non-clinical in nature. Salary packaging starts from 70000.
Dislikes (Value for money): I thought the tuition fees were a bit exorbitant compared to the QS/World ranking of my department/University. I do feel the academic rigour could also be slightly more, as the subjects were more descriptive than practical. There was a lot of spoonfeeding in terms of how to do assignments which followed rigid criteria instead of allowing some room for creativity.
Total Monthly ExpenseAUD 3500
Prepping time for classes30 hours/Week
Expected Annual SalaryAUD 72325
A
Anonymous
Master of Data Science - Batch of 2025
3.9
The university doesn't offer dedicated placement offers.
Tips: I personally haven't received any scholarship throughout my degree. People who are planning to join the university, especially for the Data Science course should make sure their math and statistics foundation is pretty good because students have to take at least 2 statistics subjects each semester.
Likes (Safety): Me and my friends haven't come across any trouble during our time at the university. The university has well-equipped facilities to ensure the students are safe in and out of the campus, they have dedicated lines for harassment, racism, and other safety issues. I personally haven't experienced any bad situations during my time in Melbourne for about 2 years.
Dislikes (Post study jobs): The university doesn't offer dedicated placement offers, it is best recommended for students to start looking out for jobs at the start of their final year. There are quite a few companies that offer a sponsor visa and it is hard for international students. People can get into roles like Data & AI consultant, Data Scientist, ML engineer, GenAI engineer, and Data analyst. Freshers can expect 70,000-80,000 as a starting salary.
Total Monthly ExpenseAUD 1700
Prepping time for classes20 hours/Week
Expected Annual SalaryAUD 74425
A
Anonymous
Master of Environmental Science - Batch of 2025
4.6
Multicultural and respectful community.
Tips: I think all the classes happen in a more practical way than theory and that's the most amazing part about it! There is not much exam pressure! There are easy subjects and sometimes putting in the best effort helps and it's very multicultural. Too good.
Likes (Post study jobs): I think all the universities here have a good amount of career fairs that help students get jobs. They have good connections and world class facilities that help in overall development. I think it also means you have to put in your effort in searching for opportunities by doing volunteering or unpaid internships as they count as very important experience.
Dislikes (Student Life): The socialising is amazing, but sometimes after the class there are not many class events. If they could have more involved sessions, it would be great! I think finding your community could take time but it gets easier when you join clubs and chapters and part time jobs.
Total Monthly ExpenseAUD 900
Prepping time for classes27 hours/Week
Expected Annual SalaryAUD 68250
View All 42 Reviews
Master of Data Science at University of Melbourne Highlights
Master of Data Science
at University of Melbourne
- A course tailored to Students: They will enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build their skills in the other discipline.
- Flexibility to follow interests: Core subjects will give students a solid grounding in data science, so they will have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.
Beyond the core subjects, elective subjects give them the freedom to dive deeper into a specialist area of data science. - Students can Sharp their skills with the capstone project: They will leave the course with a major data science project to feature in their CV. In the capstone project, they will apply data science tools to a practical problem, working individually or as part of a team to showcase their skills.
- More than just technical skills: University know that students will need more than technical capability to succeed in the workplace. To round out their skill set, they can choose from professional skills subjects, such as scientific communication, so they can start their data science career with confidence.
If students would like to gain more real-world experience, they can choose to complete an internship in a science or technology-related workplace for course credit. - Related study areas: Computer science, Data and analytics, Data science, Information technology and computer science, Mathematics and statistics, Science
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at University of Melbourne
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Master of Data Science at University of Melbourne Contact Information
Master of Data Science
at University of Melbourne
Address
The University of Melbourne
Grattan Street, Parkville
Victoria 3010
Australia
Melbourne ( Victoria)
Phone
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