Why Study at JCU

JCU is ranked in the top 2% of the world’s universities, according to the Academic Ranking of World Universities

JCU is ranked in the top 14 Australian universities

JCU has received 5 stars for job success in the Good Universities Guide for the past 6 years running

Why Study Online at JCU

100% online study - balance your course around work and family commitments

Focus on one subject at a time

Complete up to six subjects a year, part-time

Personalised, on-going support throughout your degree

Online Master of Data Science

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Entry criteria

The Master of Data Science welcomes applications from students who are able to meet the following criteria: 

  • A Bachelor degree (whilst not a prerequisite for entry, high numeracy skills equivalent to senior level mathematics that includes algebra and elementary differential calculus is assumed); OR
  • At least five years of relevant work experience in an IT or data science-related industry. Industry experience will need to include some background in computing, data analysis or programming.  Application based on relevant industry experience must be supported by a detailed CV and proof of work experience.

Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 2 – Schedule II of the JCU Admissions Policy.

Not sure if you meet these entry criteria? Our Enrolment Advisors can assist you.

Speak to an Enrolment Advisor

What you will study

You will study 12 to 16 subjects, depending on your entry point. Subjects can be undertaken across any of the six study periods throughout the year. With up to six subjects on offer per year, you can choose to sit a study period out to suit your changing personal and professional schedule and circumstances.

An interdisciplinary approach means you’ll acquire relevant knowledge from across the mathematics, information technology and business domains, delivered by experts in research, academia, business and of course, data science. This varied approach delivers a flexible knowledge base and skillset, adding weight to employability. 

Want more details about these subjects? Find out more from our course guide.

Download Course Guide

  • Graduate Certificate subjects
    • Foundations for Data Science
    • Statistical Methods for Data Science
    • Data Visualisation
    • Database Systems
  • Graduate Diploma subjects

    You will study the Graduate Certificate subjects, in addition to the following:

    • Programming and Data Analytics using Python
    • Essential Mathematics for Data Scientists
    • Introduction to Data Mining
    • Advanced Statistical Methods for Data Scientists
  • Master's subjects

    You will study the Graduate Certificate and Graduate Diploma subjects, in addition to the following:

    • Data and Information: Management, Security, Privacy, and Ethics
    • Big Data: Management and Processing
    • Data Science and Strategic Decision Making
    • Data Mining and Machine Learning
    • Data Science Master Class 1
    • Data Science Master Class 2
    • Data Science Project (6 credit points) - composed of Part A and Part B


Assessment includes a combination of completed coursework, assignments and online examinations. Students receive regular feedback on their progress via online forums and individual consultations with academic staff.

The JCU Master of Data Science comprises subjects which also form part of the JCU Graduate Certificate and Graduate Diploma of Data Science. This provides the potential to gain an alternative postgraduate qualification, should you choose not to complete the course in its entirety.

Recognition of Prior Learning (RPL)

JCU recognises the value of past study and real-world experience. Exemptions or credits for elective subjects will be considered on a case-by-case basis, upon submission of verifiable supporting documentation.

You are welcome to contact the JCU Science and Engineering enrolments officer to discuss your circumstances and develop a tailored program of study.

Man studying from home

Claire from JCU Online calling phone

Personalised support for your success

JCU’s online Master of Data Science is backed by our commitment to personally supporting and encouraging you for the duration of your learning journey. Receive regular, personalised contact and support from your own Success Advisor throughout the entirety of your study. With regular opportunities to interact with peers and academic staff, learning online with JCU is always engaging.

What's more, JCU’s strong links with industry and research sectors mean you’ll have the opportunity to expand your professional network and explore new career opportunities as you work towards the completion of your qualification.

Become SAS® Certified

JCU has partnered with SAS®, analytic software provider and leader in Data Science.

The Master of Data Science will prepare you to become a SAS® Certified Big Data Professional Using SAS®9

Master of Data Science Advisory Board

The JCU Master of Data Science is backed by an Industry Advisory Board, made up of data science and tech leaders from across Australia with extensive experience both domestically and abroad. Read more

Professor Ron White

Head of Physical Sciences

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Dr. Carla Ewels

Course Coordinator and Lecturer

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Dr. Neil Fraser


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Dr. Amy Shi Nash

Global Head of Data Analytics

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Joao Almeida

Chief Technology Officer

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Wesley Grisdale

Head of IT - Business Intelligence and Information Management

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Arthur Panos

Director of ​Roaming & New Business

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David Miller

Director, Data and Business Intelligence

Andrew Carline


Want to apply or need help with a specific question?

Contact us or request a call-back to discuss:

  • Entry Requirements
  • Courses Available
  • Fees/FEE-HELP
  • Study Period Options
  • Online Study Model
  • Application Assistance

Enrolment Advisors are available to chat via phone at the following times:

Monday and Tuesday: 8am - 6pm (AEST)
Wednesday and Thursday: 8am - 7pm (AEST)
Friday: 8am - 5pm (AEST)

Speak to a Student Enrolment Advisor

Request a call-back from a Student Enrolment Advisor

Or call us on 1300 535 919

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