Master of Data Science
3.9 /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 is among the popular universities to study Master of Data Science from abroad. The duration of Master of Data Science program is 2 years. The first-year The University of Melbourne tuition fee for Master of Data Science is around AUD 56,992. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. The average estimated cost of living is around AUD 29,055. Indian students must meet The University of Melbourne admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹39.87 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
The University of Melbourne Master of Data Science fee structure includes first-year tuition fee that all the students have to pay. Apart from the tuition fee, the students also have to spend money on stay, food and other utilities, which comprises cost of living, which is AUD 29,055. The total expense may vary, depending on the additional charges provided by The University of Melbourne. The total first-year tuition fees of Master of Data Science is AUD 56,992.
To know more about The University of Melbourne Master of Data Science fee breakup, check out the table below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 39,86,865 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 20,97,601 |
| Insurance | INR 44,830 |
Calculated at the exchange rate of 1 AUD = INR 68.758026 | Tuition & expenses were last updated on 7ᵗʰ November 2025Master 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.
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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
3.9/5
30 Verified ReviewsStudent Views (Based on Reviews)
- 28% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Stressful
Multi-dimensional
Liberal
Internships3.7
Part time work3.7
Post study jobs3.5
Quality of faculty4.3
Student Life4.2
Value for money3.4
Public transportation4.3
Safety4.3
Indian Food4.4
Permanent Immigration3.4
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
S
Shrinee Rajiv Oza
Bachelor of Commerce - Batch of 2026
3.8
Easy to get into, but difficult to survive. Feels absolutely worth it when you graduate.
Tips: I personally did not experience a major cultural shift, I was more curious and excited every time I got to know about something different. It all depends on the mindset. I personally did not avail any scholarships. I am very satisfied with my experience at university. However, it is a little difficult to make friends in a new country so you really have to put yourself out there and get out of your comfort zone.
Likes (Indian Food): Since the University of Melbourne campus is in the city, there are so many options for indian food. Almost every convenience store also has samosas. The quality of indian food here is absolutely phenomenal. I don't miss food back home too much because most of it is available here. However, it's quite expensive comparatively.
Dislikes (Quality of faculty): For all my lectures, the faculty was absolutely the best of the best. The University is quite difficult to survive in. But the faculty provide the right guidance and they're always available to sit down and have a chat. They also don't rush towards the end of the lectures. For tutorials they're mostly honours students who help you solve important questions in class. They're also all overachieving students at the university.
Total Monthly ExpenseAUD 525
Prepping time for classes20 hours/Week
Expected Annual SalaryAUD 67475
A
Anonymous
Master of Environment - Batch of 2025
3.2
The education is good, but support after graduations is limited.
Tips: The transition to university life was smooth; however, post-grad options are limited. Australian universities are not like Indian universities, so make sure you have the mindset when enrolling. Make sure to attend orientation. This helped me a lot.
Likes (Quality of faculty): The education level, the content, and the discussion were all good. Everyone is open to each other's POV. Additionally, we had lots of guest lectures, field trips, and practical lessons. Perhaps the only complaint that I have is the assignments. They were all subjective.
Dislikes (Post study jobs): The University of Melbourne does not provide any career support for grades. Usually, companies like KPMG and EY will usually offer a package of 75,000. It might depend on a different major. I would say, start early and make sure to job hunt. Plus, networking is gold.
Total Monthly ExpenseAUD 2000
Prepping time for classes31 hours/Week
Expected Annual SalaryAUD 70000
View All 39 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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Master of Data Science at University of Melbourne Scholarships
Master of Data Science
at University of Melbourne
Scholarship information is not available. You can apply to non-college specific scholarships available for
Australia.
View all 11 scholarships
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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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