Master of Data Science

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James Cook University Online
  • Awarded by

    James Cook University Online

  • Qualification

    Master's Degree

  • Study Mode

    Online

  • Payment Options

    FEE-HELP may be availableUpfront payment

  • Duration

    24 - 32 months part-time

  • Start Date

    6 intake dates each year – enquire now!

  • Career Outcomes

    Database Administrator | Software or Applications Programmer | Data Analyst | Business Systems Analyst | View all

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  • In a Nutshell

    The JCU Online Master of Data Science is designed to put professionals who recognise the power of data and numbers ahead of the pack. JCU Online's 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. You'll also gain industry-recognised skills - 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®.

    Beginning with the basics of data science, including statistical methods, data visualisation and database systems, you'll then move on to more specialised areas, such as programming and data mining. High-level subjects include the management, security, privacy and ethics of data; strategic decision-making; and machine learning. Your studies will culminate in masterclasses and a major project, and you will have the opportunity to participate in industry, research and government departments where possible, solving real-world data-driven problems.

    With its accelerated learning model, this course is one of the fastest part-time Masters in the IT field. It is delivered by award-winning teachers and leading experts with expansive, cutting-edge knowledge and valuable real-world industry experience.

    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.

    You'll gain expert skills in programming languages including Python and R, professional capability in visualisation tools such as SAS and Tableau, software development platforms like R-Studio and Jupyter and experience on cloud computing platforms including Amazon Web Services.

    A Master of Data Science (Professional) is also available which is a four subject extension of the Masters program, which gives you a professional portfolio, further proving your data science capabilities. This portfolio is designed to give you the provable experience you might normally expect to work years for, helping you fast track your ambitions. You'll also have the opportunity to gain real experience in data science by working on industry partnered projects.

  • What You'll Need to Get In

    To be eligible to study this course, applicants must meet the following entry requirements:

    • Hold 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
    • Have 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.
  • Subject Breakdown

    In this IT course, the subjects you may study include:

    • Foundations for Data Science
    • Statistical Methods for Data Science
    • Data Visualisation
    • Database Systems
    • Programming and Data Analytics using Python
    • Essential Mathematics for Data Scientists
    • Introduction to Data Mining
    • Visual Analytics for Data Scientists using SAS
    • Data and Information: Management, Security, Privacy, and Ethics
    • Advanced Data Management and Analysis using SAS
    • 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
  • Why James Cook University Online?

    Study when it suits you, receive personal academic support and make your CV shine with a qualification from an internationally recognised university. With a reputation for excellence in teaching and research, we know the value of a world-class education: our students graduate to become leaders in their fields and their communities. What’s more, JCU has been awarded five stars for graduate job success for six years running by The Good Universities Guide. Through our postgraduate courses, we aim to empower professionals to have a positive impact and make their lives matter. Enrol and gain the skills to build your brighter future, today.

    When you study with JCU Online, you can be sure that you will receive the best possible guidance and assistance to help you achieve your goals.

    In addition to the academic and student networks you’ll develop, you will be introduced to your Student Success Advisor upon enrolment. They provide access to useful resources, dedicated guidance and motivation throughout your study journey.

  • Where will this course take you?

    Upon successful completion of this course you will receive a Master of Data Science from James Cook University.

    Students will graduate as highly sought-after professionals in one of the world's fastest growing sectors, enabling them to pursue a range of career opportunities across multiple industries. 

    According to Seek, the most common salary for a Data Scientist is $130,000. The Talent Data Science & Analytics Market Snapshot & Salary Guide states the most in-demand skills in this field include programming languages like SQL, Python and R, business analytics and machine learning, all of which you will learn in JCU Online's Master of Data Science.

    Graduates will also have a portfolio from the major projects completed in their final study areas, instantly demonstrating valuable skills and experience to potential employers.

     

  • Career Outcomes

    Data Scientists can fill many different roles within various businesses, depending on their specialisation and the needs of their organisation. Potential roles for trained Data Scientists include: Data Scientist (generalist), Data Engineer, Data Analyst, Business Analyst, Business Intelligence (BI) Developer, Machine Learning Scientist, Statistician, Enterprise Architect and similar.

  • Let's talk price

    Eligible students can apply for the Australian government's FEE-HELP loan to cover the upfront costs of all or part of your fees.

    James Cook University also offers an upfront payment option.

    FEE-HELP

    You may be eligible to receive FEE-HELP for this course!

    This course can be paid for through the FEE-HELP government loan scheme. If you are an Australian citizen or hold a permanent humanitarian visa, you may not need to pay upfront.

    Instead, the Australian government will pay your course fees directly to the provider on your behalf. You'll begin repaying your loan through the tax system once you start earning more than the minimum threshold of $46,620 (2020-21 income year). 

    Find out more about government study loans here.

Keen to Find Out More?

Fill out this form and a Study Consultant from James Cook University Online will get back to you.

To be eligible to study this course, applicants must meet the following entry requirements:

  • Hold 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
  • Have 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.

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