Overview
Recognised as the leading institution for Data Science and AI in Australia, the University of Melbourne offers a Master of Data Science programme that prepares students for the dynamic and rapidly evolving field of data analytics. The Harvard Business Review has aptly described data science as the "sexiest job of the 21st century," highlighting the increasing demand for skilled professionals in this domain. With over 2.5 exabytes of data generated daily, the need for adept data scientists is paramount across various sectors including healthcare, retail, and ecology.
Why Data Science at the University of Melbourne?The University of Melbourne's Master of Data Science programme stands out due to its exceptional ranking and commitment to academic excellence. The university is renowned for its state-of-the-art facilities and strong industry partnerships, which enhance the learning experience. Students benefit from access to cutting-edge resources and a curriculum designed to meet the needs of a diverse range of industries. This programme not only focuses on technical skills but also emphasises the importance of professional competencies, ensuring graduates are well-rounded and ready for the workforce.
Tuition Fee BreakdownThe tuition fees for the Master of Data Science are structured as follows:
- International Students: AUD 119,684 per full course
- Domestic Students: AUD 88,167 per full course
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe Master of Data Science programme is designed to provide a robust foundation in both theoretical and practical aspects of data science. The course structure includes:
- Core subjects that cover essential data science principles
- Elective subjects allowing deeper exploration into specific areas of interest
- A capstone project where students apply their skills to real-world problems, enhancing their CVs
- Opportunities to choose professional skills subjects, such as scientific communication, to prepare for workplace success
- Options to undertake internships for course credit, providing valuable industry experience
Graduates of the Master of Data Science programme are well-prepared for a variety of roles in the data analytics field. Alumni have successfully secured positions in prominent companies and sectors, utilising their expertise to drive data-driven decision-making. The skills acquired during the programme enable graduates to pursue careers in data analysis, machine learning, and data engineering, among others, ensuring they are equipped to thrive in a competitive job market.
Programme Structure
Courses include:
- Programming and Software Development
- Algorithms and Complexity
- Elements of Data Processing
- Database Systems & Information Modelling
- Methods of Mathematical Statistics
- A First Course In Statistical Learning
Key information
Duration
- Full-time
- 24 months
- Part-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before , International
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- Melbourne, Australia
Disciplines
Data Science & Big Data View 55 other Masters in Data Science & Big Data in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
CRICOS code: 092791B
To be considered for entry, you must have completed:
- An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and
- 12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming, and
- Both the following subjects (or their equivalents):
- MAST10006 Calculus 2
- MAST10007 Linear Algebra
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Melbourne and/or in Australia, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents57984 AUD / year≈ 57984 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents44992 AUD / year≈ 44992 AUD / year
Additional Details
- Commonwealth supported places (CSP) are available for this course
Living costs
Melbourne
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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