Overview

This professional and industry oriented Master of Data Science program from the University of Newcastle will enable you to apply your theoretical statistical and computational knowledge to better understand and explore data using applied problem solving and computer practice.

Career

Possible career opportunities include:

Data Scientist

Data Engineer

Data Manager

Biostatistician/Bioinformatician

Business Analyst

Data and Insights Expert

Researcher

Data Analyst and Scientist

Information Security Analyst

Artificial Intelligence and Machine Learning Specialist

Big Data Specialist

Programme Structure

Courses include:

Databases and Information Management

Data Wrangling and Visualisation

Big Data

Predictive Analytics
Data Analytics for Business Intelligence

Key information

Duration

Full-time
- 18 months
Part-time
- 60 months

Start dates & application deadlines

Starting 2025-02-26 00:00:00
- Apply before 2025-02-16 00:00:00 , National
- Apply before 2024-11-26 00:00:00 , International
Starting 2025-07-22 00:00:00
- Apply before 2025-07-13 00:00:00 , National
- Apply before 2025-04-22 00:00:00 , International

More details

International students: It is recommended you submit your application a minimum of 12 weeks before your intended semester or trimester start date.

Language

English

IELTS

6.5

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TOEFL^® IBT

79

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Credits

120 alternative credits

Delivered

Online

Disciplines

Information Technology (IT) Data Science & Big Data View 23 other Masters in Data Science & Big Data in Australia

Academic requirements

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

English requirements

IELTS

6.5

Schedule an IELTS test!

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.

Other requirements

General requirements

CRICOS Provider 00109J

Students with a three year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialisation are eligible to undertake the 120 unit program which can be completed in 2 years full time (commencing Semester 1), 1.5 years full time (commencing Semester 2) or up to 5 years part time.

Students with a three year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognised Prior Learning (RPL) in an area related to data science and/or their chosen specialisation (also called cognate discipline) may be eligible to study between 80 and 120 units, inclusive.

Students with a three year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialisation may be eligible to study between 80 and 120 units, inclusive.

Tuition Fee

To always see correct tuition fees

International

41620 AUD/year

Tuition Fee

Based on the tuition of 41620 AUD per year during 18 months.
National

25365 AUD/year

Tuition Fee

Based on the tuition of 25365 AUD per year during 18 months.

If you have a Commonwealth Supported Place your study is supported by the Government

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 Master of 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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