Master of Data Science

RMIT University

Australia, Melbourne

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RMIT University

Australia , Melbourne

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Course Code

093313B

Application Fee

AUD 100

Campuses

Melbourne City

Program Language

English

Start & Deadlines

Next Intake DeadlinesJuly-2025

Apply to this program

Go to the official application for the university

Duration 2 year(s)

Tuition Fee

AUD 41,280 / year

Next Intake July-2025

Master of Data Science

About

Gain the skills to navigate huge volumes of data generated via social media, financial transactions, transportation and scientific discovery as a data scientist.

This interdisciplinary field of data science combines computer science with mathematical statistics and domain expertise to manage and analyse data. As a data scientist, you'll develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as massive sensors, mobile and transaction data.

Through data science, businesses gain a competitive edge, governments deliver more targeted services and research teams make new discoveries.

Why study the Master of Data Science at RMIT?

Put theory into practice

Gain hands-on, practical experience analysing data in a business setting through a capstone project conducted alongside industry.

Industry-led education

Learn from dedicated academics, guest lecturers and industry experts with research backgrounds and industry links.

Build contacts

Use RMIT's Centre for Information Discovery and Data Analytics to connect with data scientists, project partners and researchers in the field.

Requirements

Entry Requirements

You must have:

An Australian bachelor degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent.

You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and; relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.

International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).

English Program Requirements

To study this course you will need to complete one of the following English proficiency tests:

IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit English language requirements and equivalency information.

Don't meet the English language test scores? Complete an English for Academic Purposes (EAP) Advanced Plus at RMIT University Pathways (RMIT UP).

Career

Any organisation handling large volumes of data needs qualified data scientists. Across all sectors of the economy – including IT, business, banking and finance, science and engineering, government, health and medical – organisations can gain a competitive edge by better managing and analysing their data.

As data science is still a new and emerging field, the roles available are quite varied and diverse.

As well as the title of data scientist, other positions include analytics specialist, business intelligence analyst/developer, data analyst, data architect, data engineer, data miner, research scientist and web analyst.

While industry expertise is at the heart of this degree, studying at RMIT also means you are physically located close to Melbourne’s data professionals in the central business district – with many opportunities to forge links with local industry and jobs, including meet-ups, events and seminars, as well as other networking occasions.

After being exposed to the latest theoretical and practical expertise, graduates are expected to become influential leaders within their organisations.

There is also a research stream in this course, in which students work with a data science researcher on more technical data science innovation.

Fee Information

Tuition Fee

AUD 41,280

Application Fee

AUD 100

How to Apply

Step 1: Find a course

Step 2: Check the entry requirements

Step 3: Collect required documents

Step 4: Submit your application

If you are applying for on-campus study in a coursework program (Bachelor, Associate Degree or Honours), use the online application system for international students.

Remember, our team are experts in RMIT study options and how to apply, so contact the team if you need support with your application.