CRICOS:111336H

Graduate Diploma in Data Analytics

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PROGRAM OVERVIEW

Embark on a career journey in the thriving field of data analytics with our Graduate Diploma program. Gain essential skills in data mining, statistical analysis, and predictive modeling, opening doors to diverse opportunities across industries like finance, healthcare, and technology. From roles as Data Analysts to Business Intelligence Analysts, our program equips you with the expertise to transform raw data into actionable insights.

The Graduate Diploma can be an entry point for the Master of Data Analytics (MDA). The course requires the study of the first eight units of the MDA.

DURATION

1 year full-time or 2 years part-time

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)
  • ENGLISH LANGUAGE REQUIREMENTS

    Please refer to English Language Requirements

    COURSE STRUCTURE

    This course contains 8 core subjects in accounting and related fields.

    Exit with a Graduate Diploma of Analytics

    *Prerequisite/Co-requisite Requirements

    Please note: The availability of units may be slightly different across our three campuses.

    FURTHER COURSE DETAILS

    From roles as Data Analysts to Business Intelligence Analysts, our programme equips you with the expertise to transform raw data into actionable insights. With hands-on experience and access to industry-leading tools, you’ll be well-prepared to influence strategic decisions and drive operational efficiency. Join our community of data enthusiasts and step into a rewarding career shaping the future of data analytics.

    Career possibilities include:

    • Data Analyst
    • Business Intelligence Analyst
    • Database Administrator
    • Data Engineer
    • Statistical Analyst
    • Market Research Analyst
    • Data Visualization Specialist

    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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