Overview

This Data Science course from the RMIT University provides opportunities to experience an industry project where you’ll undertake a capstone project giving you hands-on, practical experience analysing data in a business setting. Working within a corporate environment, you’ll integrate the knowledge you’ve acquired throughout the course into a solid skills base to take into your professional life.

Data science has been called the “sexiest job of the 21st century”, and those who can manage and make sense of big data will undoubtedly take on some of the most important roles in the information age.

Career

Any organisation handling large volumes of data needs qualified data scientists. Organisations in all sectors of the economy – IT, business, banking and finance, science and engineering, government, health and medical – 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 consequently 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 program delivery, studying at RMIT also means you are physically located close to Melbourne’s data professionals in the central business district, with many opportunities for developing links to 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.

Programme Structure

Courses include:

Practical Data Science with Python

Programming

Database Concepts

Applied Analytics

Data Wrangling

Advanced Programming

Key information

Duration

Full-time
- 24 months
Part-time
- 48 months

Start dates & application deadlines

Starting 2025-03-03 00:00:00

Apply anytime.
Starting 2025-07-21 00:00:00

Apply anytime.

More details

National: Applications will be accepted for each program until all places are filled, so ensure you apply as early as possible for your application to be considered.

Int: Applicants who are required to apply for a student visa are recommended to apply and accept their offers for minimum of 4 weeks prior to program’s commencement date to allow sufficient visa processing time.

Language

English

IELTS

6.5

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PTE Academic

58

TOEFL^® IBT

79

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Delivered

On Campus

Disciplines

Data Science & Big Data View 57 other Masters in Data Science & Big Data in Australia

Academic requirements

GPA

2

English requirements

IELTS

6.5

Schedule an IELTS test!

PTE Academic

58

TOEFL^® IBT

79

Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

Additional medical costs (i.e. dental)
Repatriation, if something happens to you or your family
Liability
Home contents and baggage
Accidents
Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting 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 RMIT University and/or in Australia, please visit Student Insurance Portal.

Other requirements

General requirements

CRICOS number: 093313B

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.

Tuition Fee

To always see correct tuition fees

International

41280 AUD/year

Tuition Fee

Based on the tuition of 41280 AUD per year during 24 months.
National

34560 AUD/year

Tuition Fee

Based on the tuition of 34560 AUD per year during 24 months.

Living costs for Melbourne

1501 - 2659 AUD /month

Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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.

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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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