Graduate Diploma in Foundational Data Science
3.9 /5
- Public University
School of Computing and Information Technology
Talk to ExpertGraduate Diploma in Foundational Data Science at University of Melbourne Overview
Graduate Diploma in Foundational Data Science
at University of Melbourne
The University of Melbourne is among the popular universities to study Graduate Diploma in Data Science from abroad. The duration of Graduate Diploma in Data Science program is 1 year. The first-year The University of Melbourne tuition fee for Graduate Diploma in Data Science is around AUD 44,256. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. 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 | 1 year Get Curriculum |
Tuition & Fees | ₹38.39 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Diploma |
Graduate Diploma in Foundational Data Science
Table of contents
Graduate Diploma in Foundational Data Science at University of Melbourne Fees
Graduate Diploma in Foundational Data Science
at University of Melbourne
Students interested in pursuing a Graduate Diploma in Data Science from The University of Melbourne must fulfil the associated monetary requirements that come with the course. The fee structure includes the payment of the first-year tuition fee. Students must also plan for some other costs they may incur associated with living in Australia such as rent, food, medical, travel and other expenditures. The cost may vary as per the lifestyle being pursued by the students and some other fees that may be charged by The University of Melbourne over the duration of studies. The first year tuition fee for Graduate Diploma in Data Science is around AUD 44,256. For a more detailed fee breakdown regarding the Graduate Diploma in Data Science from The University of Melbourne, refer the table given below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 38,39,213 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 20,19,917 |
| Total approximate fees | INR 20,19,917 |
Calculated at the exchange rate of 1 AUD = INR 66.2116 | Tuition & expenses were last updated on 6ᵗʰ November 2025Graduate Diploma in Foundational Data Science at University of Melbourne Curriculum
Graduate Diploma in Foundational Data Science
at University of Melbourne
Latest curriculum for Graduate Diploma in Foundational Data Science at University of Melbourne can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in PG Diploma at University of Melbourne
Download exam sample paper
IELTS
IELTS
TOEFL
PTE
Graduate Diploma in Foundational Data Science at University of Melbourne Entry Requirements
Graduate Diploma in Foundational Data Science
at University of Melbourne
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
- Applicant must have an undergraduate degree (or equivalent) in any discipline and successfully completed MAST10006 Calculus 2 AND MAST10007 Linear Algebra (or their equivalents).
- Meeting the published entry requirements for this course does not guarantee selection.
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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 79/120
- with writing 21; speaking 18; reading 13; listening 13
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GPA
Percentage
CGPA
Out of 10
PTE
- Marks - 64/90
- with no communicative skill below 60
IELTS
- Marks - 6.5/9
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with no band less than 6.0
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Graduate Diploma in Foundational Data Science at University of Melbourne Frequently Asked Questions
Graduate Diploma in Foundational Data Science
at University of Melbourne
Graduate Diploma in Foundational Data Science at University of Melbourne Rankings
Graduate Diploma in Foundational Data Science
at University of Melbourne
University Ranking
| Rank | Rank Publisher |
|---|---|
| #19 | |
| #37 | |
| #30 |
Graduate Diploma in Foundational Data Science at University of Melbourne Placements
Graduate Diploma in Foundational Data Science
at University of Melbourne
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes |
Graduate Diploma in Foundational Data Science at University of Melbourne Students also asked
Graduate Diploma in Foundational 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
Graduate Diploma in Foundational Data Science at University of Melbourne Highlights
Graduate Diploma in Foundational Data Science
at University of Melbourne
- Graduate Diploma in Data Science is offered by School of Computing and Information Technology under The University of Melbourne, Australia.
This a Masters Diploma level program of a course duration of 1 Years.
Download the brochure to read more details of this course.
Graduate Diploma in Foundational Data Science at University of Melbourne Scholarships
Graduate Diploma in Foundational Data Science
at University of Melbourne
Scholarship information is not available. You can apply to non-college specific scholarships available for
Australia.
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Graduate Diploma in Foundational Data Science at University of Melbourne Contact Information
Graduate Diploma in Foundational Data Science
at University of Melbourne
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The University of Melbourne
Grattan Street, Parkville
Victoria 3010
Australia
Melbourne ( Victoria)
Phone
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