CRICOS: 111335J

Master of Data Analytics

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PROGRAM OVERVIEW

Kickstart your transformative journey into the world of data with our Master of Data Analytics. Delve deep into the intricate web of data derivation, storage, and management within computer information systems and networks.

 

Uncover the power of cutting-edge analytic tools that not only extract but also visualise information, empowering you to make strategic and operational decisions with precision. Throughout this immersive experience, you’ll cultivate high-order thinking skills, mastering the art of navigating data-rich landscapes with finesse. Be at the forefront of safeguarding data integrity as you identify and tackle contemporary threats to security head-on. Elevate your expertise as you lead complex data projects, orchestrating them towards meticulously planned outcome.

DURATION

2 years full-time or 4 years part-time
International students are required to maintain a full-time study load on campus basis

DELIVERY SITE

On campus (Eveleigh NSW 2015)

ENTRY REQUIREMENTS

  • An Australian bachelor’s degree (or equivalent qualification, including an overseas qualification); or
  • Completion of a Graduate Certificate in a relevant field of study (which must include at least one study of mathematics, statistics, or quantitative analysis), or
  • Completion of IMC’s Postgraduate Preparation Program
  • Graduate Diploma in Data Analytics or a Graduate Diploma in a relevant field

  • Find out if your overseas qualification is recognized and meets the Entry Requirements.

    ENGLISH LANGUAGE REQUIREMENTS

    Please refer to English Language Requirements

    COURSE STRUCTURE

    This course contains 16 core subjects.

    *Prerequisite/Co-requisite Requirements

    FURTHER COURSE DETAILS

     

    Upon successful completion of the Graduate Certificate in Data Analytics, students may apply to enrol in the Graduate Diploma of Data Analytics and Master of Data Analytics. Students progressing into a higher award will be given credit for studies completed within the Graduate Certificate.

    Career options could include:

    Data Analyst

    Data Analytics Specialist

    Data systems developer

    Data-driven decision maker.

     

    Recognition of Prior Learning (RPL) is available and will be assessed in accordance with IMC’s RPL policy and procedure. Please refer to the Application for Recognition of Prior Learning and the RPL policy and procedure for further details.

     

    Assessment methods are designed to encourage learning, provide feedback and measure achievement of unit learning outcomes. Forms of assessment vary among units and include research reports, projects, essays, group work, presentations, problem solving and case studies as well as tests, quizzes and examinations. Students may be required to complete assessment tasks alone or in groups to encourage development of generic skills. Assessments generally require a written submission but may include an oral presentation. In capstone units, assessments may include industry engagement and an extensive report.

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