Overview

Find innovative solutions to some of the biggest challenges facing the world today and make lives better. Help provide the evidence needed to change minds and transform businesses, communities and countries.

At Monash, you’ll learn from and work with some of Australia’s best IT experts. You won’t just be exposed to cutting-edge technical knowledge and know-how, you’ll be adopting a mindset focused on creating a positive impact wherever you go.

This Data Science programme at Monash University is accredited by the Australian Computer Society (ACS). This means you’ll automatically be eligible to become a member, opening doors to invaluable networking and professional development opportunities.

Learning Outcomes

Through the course, you’ll learn how to:

analyse the lifecycle of data through an organisation

apply major theories in data analysis and exploration in common contexts and challenges

plan a data science project in a new area of application

investigate, analyse, document and communicate the core issues and requirements of developing a global organisation’s data analysis capabilities

demonstrate an understanding of data science to the standard of senior professional practice

review, assess, synthesise and apply modern data science theories for professional or academic purposes

document and communicate ethical and legal considerations in relation to privacy and security in data science practice

Programme Structure

Courses include:

Project management

IT research and innovation methods

Data exploration and visualisation

Data wrangling

Statistical data modelling

Data processing for big data

Key information

Duration

Full-time
- 18 months
Part-time
- 36 months

Start dates & application deadlines

Starting 2026-07-27 00:00:00
- Apply before 2026-06-15 00:00:00
Starting 2027-03-02 00:00:00

Apply anytime.

More details

Semester one

As an international student, apply for a place anytime throughout the year

Mid-year:

Vary by faculty but generally close in mid-June.

Language

English

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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4.9/5 student rating

Credits

96 alternative credits

Delivered

On Campus

Campus Location

Clayton, Australia
Subang Jaya, Malaysia

Disciplines

Data Science & Big Data View 55 other Masters in Data Science & Big Data in Australia

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

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: 085349A

Entry level 1:

An Australian bachelor degree (or equivalent), not necessarily in IT, with at least a credit (60%) average.

Entry level 2:

An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including python programming, databases, algorithms, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics) with at least a credit (60%) average.

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 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 Monash University and/or in your country of interest, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

52900 AUD / year

≈ 52900 AUD / year
Domestic Applies to you

Applies to you

Citizens or residents

9314 AUD / year

≈ 9314 AUD / year

Additional Details

Fees for domestic students:

Commonwealth supported place (CSP): A$9,314

Full fee: A$41,600

Funding

This programme is taught in different countries. Which country are you interested in?

Country 1

Australia
Malaysia

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.

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.

On this page

About

Overview

Learning Outcomes

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Student Insurance via Studyportals Partner

Tuition Fees

International Applies to you

Domestic Applies to you

Additional Details

Funding

Scholarships Information

Available Scholarships

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