Overview

The online Master of Data Science at UNSW is designed for those seeking to harness the power of data to drive decision-making in various industries. With a global ranking of 19th in the QS World University Rankings 2025, UNSW is renowned for its academic excellence and innovative approach to education. The programme is structured to equip students with the necessary skills to excel in the rapidly evolving field of data science, which is increasingly pivotal in today’s data-driven world.

Why Data Science at UNSW?

UNSW stands out as a leader in education, particularly in Mathematics, where it ranks first in Australia according to the QS World University Rankings by Subject 2024. The university is also recognised for producing the most employable graduates, as highlighted by the AFR Top 100 Future Leaders Awards from 2020 through 2024. Additionally, UNSW graduates enjoy the highest average salaries among their peers in Australia, reflecting the value of the education received.

Tuition Fee Breakdown

The tuition fees for the Master of Data Science programme are AUD 61,500 for both domestic and international students. For a detailed breakdown of fees in your local currency, please visit the Fees and Funding section.

Syllabus

The Master of Data Science consists of a total of 12 courses, including six core courses and six elective courses. Below is an overview of the core courses:

Foundations of Data Science
Principles of Programming
Statistical Inference for Data Scientists
Regression Analysis for Data Scientists
Data Mining and Machine Learning
Capstone Data Science Project

Students can select from a variety of elective courses, ensuring that their studies align with their career aspirations and interests.

Careers with Data Science

Graduates of the Master of Data Science from UNSW are well-positioned to enter a diverse range of roles within the industry. Potential career paths include Data Scientist, Research Scientist, Machine Learning Engineer, Data Engineer, and Data Warehouse Architect. The skills acquired through this programme prepare students to meet the demands of various sectors, including technology, finance, healthcare, and more.

With the ongoing growth in data generation, the demand for skilled data professionals is projected to continue increasing, making this an excellent time to pursue a career in data science.

Programme Structure

Courses include:

Principles of Programming

Data Science

Statistical Inference

Data Mining and Machine Learning

Regression Analysis

Data Science Project

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

You can apply for and start this programme anytime.

More details

Study intakes

January, March, May, July, September and October

Language

English

TOEFL^® IBT

90

Schedule TOEFL®

PTE Academic

64

Schedule a PTE test!

IELTS

6.5

Prepare for Your English Test

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4.9/5 student rating

Credits

72 alternative credits

Delivered

Online

Campus Location

Paddington, Sydney, NSW, Australia

Disciplines

Computer Sciences Data Science & Big Data Machine Learning View 6 other Masters in Machine Learning 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

90

Schedule TOEFL®

PTE Academic

64

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 Provider Code: 00098G

To be eligible for the Master of Data Science you must have:Either

Completed the Graduate Diploma in Data Science with a WAM of 65 or higher OR
Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics) AND have sufficient Data Science background as indicated by an average mark of 70 or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics.

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

30750 AUD / year

≈ 30750 AUD / year
Domestic Applies to you

Applies to you

Citizens or residents

30750 AUD / year

≈ 30750 AUD / year

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.

On this page

About

Overview

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

Tuition Fees

International Applies to you

Domestic Applies to you

Funding

Scholarships Information

Available Scholarships

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