Master of Data Science (Applied)

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University of Adelaide
  • Awarded by

    University of Adelaide

  • Qualification

    Master's Degree

  • Study Mode


  • Payment Options

    FEE-HELP may be availableUpfront payment

  • Duration

    2.5 years part-time

  • Start Date

    Enquire now for upcoming start dates

  • Course Fee

    Price may vary

  • Career Outcomes

    Data Analyst | Business Analyst | Data Scientist | Business Intelligence Analyst | View all

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  • In a Nutshell

    There's no doubt about it: data makes the world go round. Now more than ever, organisations and businesses in every industry depend on data to drive decision-making. That means there's never been a better time to become a data science professional! And there's no better course to help you do so than the Master of Data Science (Applied) from the University of Adelaide.

    This comprehensive online Master's degree will set you on the path to career success in the data science sector. It's an applied course, which means it's based around practical, real-world learning – you'll be gaining hands-on experience by using the same tools, techniques and database systems as top data scientists around the world. Over 2.5 years of part-time study, you'll cover all the essential areas of computer and data science. You'll learn how to use machine learning tools and programming languages like Python; discover data taming, modelling and visualisation methods; brush up on necessary mathematics skills; complete an individual applied research project; and much more.

    Delivered entirely online, this flexible course allows you to study in your own way through interactive online lessons and self-paced activities. You'll essentially be gaining a brand-new practical skill every six weeks as you complete each subject, so you can dive right into using your new knowledge at your current role or kickstart your next career move. Career opportunities will abound when you graduate with this sought-after qualification – so why wait? Dive into the world of data today!

  • What You'll Need to Get In

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

    • A completed bachelor degree or equivalent in any discipline with a minimum GPA of 4.5 (7.0 GPA scale); AND
    • Successfully completed Mathematical Methods (or equivalent) during Senior Secondary School.


  • Subject Breakdown

    In this information technology course, the subjects you may study include:

    • Human and ethical factors in computer science
    • Data taming, modelling and visualisation
    • Foundations of computer sciences: Python A
    • Applied data science
    • Foundations of computer sciences: Python B
    • Applications of data science
    • Mathematics for data science
    • Real data: Modern methods of finding hidden patterns
    • Big data analysis and industry project
    • Using machine learning tools
    • Working with big data
    • Business data and cyber security
    • Decision sciences
    • Research methods
    • Data science research project
  • Why University of Adelaide ?

    As South Australia’s leading university, part of the top 1% of universities worldwide, and one of Australia’s elite Group of Eight Universities, you can trust that when you study with the University of Adelaide, you’ll be one step ahead of the pack.

    Study a postgraduate course online and enjoy a flexible learning experience that allows you to study while you work and at a pace that’s convenient for you. Go on, take the next step in your career and excel with a highly regarded course from the University of Adelaide.

    Studying online doesn’t mean studying alone! When you log on and learn with the University of Adelaide, you’ll be supported every step of the way.

    The University of Adelaide has developed Student Life Counselling Support and a University Crisis Line, especially for online students. They are confidential and a free service available to all enrolled students to help overcome issues impacting their life and study.

  • Where will this course take you?

    Upon successful completion of this course, you will receive a Master of Data Science (Applied) from the University of Adelaide.

    Graduates are prepared to seek roles in data science and analytics within a variety of sectors and environments, from startups to large companies to the public sector.

  • 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

    The full cost of this course is $61,248 (or $3,828 per course unit). Please note: the final research project is double weighted.

    Students may pay fees upfront; alternatively, Australian citizens are eligible for a HELP loan.

    To utilise a HELP loan, students must be enrolled by the enrolment deadline (census), and have not reached the HELP loan limit. Once offered a place in the program, you will be able to apply for a HELP loan as a part of the enrolment process.


    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 $47,014 (2021-22 income year). 

    Find out more about government study loans here.

Keen to Find Out More?

Fill out this form and a Study Consultant from University of Adelaide will get back to you.

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

  • A completed bachelor degree or equivalent in any discipline with a minimum GPA of 4.5 (7.0 GPA scale); AND
  • Successfully completed Mathematical Methods (or equivalent) during Senior Secondary School.



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