Master of Data Science
A coursework-based master’s programme in data science at Australia’s leading research university.
Best for:Best for graduates with a strong background in computer science, data science, or statistics seeking to specialise in data-driven decision-making and analytics.
Overview
The Master of Data Science at the University of Melbourne offers a structured coursework programme designed to equip students with advanced skills in data analysis, programming, and statistical modelling. This programme is ideal for graduates with a background in computer science, data science, or statistics, aiming to transition into high-demand roles across diverse sectors like healthcare, retail, and ecology. The curriculum balances theoretical foundations with practical applications, preparing graduates to interpret and derive insights from vast datasets. The programme leverages the university’s strong industry connections and research facilities to ensure students gain both academic expertise and real-world experience.
What you'll do
- Complete coursework in advanced data science topics including statistical modelling, machine learning, and big data technologies.
- Develop and implement data analysis projects to solve real-world problems across diverse sectors.
- Apply computational programming skills to process and interpret large datasets.
- Engage in collaborative learning and group projects to enhance practical data science experience.
- Utilize industry-standard tools and software for data visualization and analysis.
- Participate in workshops and seminars to stay updated with emerging trends in data science.
Requirements
Degree required: An undergraduate degree with a major in computer science, data science, or statistics, with a weighted average mark (WAM) of at least 65%.
Language: English proficiency may be required for international applicants (not explicitly stated in the source).
Instruction: English
- Proven proficiency in computer programming, particularly in a relevant programming language.
- Strong background in statistics or data science principles.
- Ability to interpret and analyze large datasets.
- Familiarity with data visualization tools and techniques.
- Applicants must hold an undergraduate degree with a major in computer science, data science, or statistics.
- A minimum weighted average mark (WAM) of 65% is required.
- Completion of 12.5 points (one subject) of university-level computer science with a focus on programming.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: unknown
Applicants must apply through the official University of Melbourne graduate admissions portal. The process involves submitting an application form, academic transcripts, proof of English proficiency (if applicable), and a statement of purpose. Additional documents may be required based on the application review.
- CV or resume
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Statement of purpose or personal statement
- One academic reference letter
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