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Australian National Institute of Management and Commerce (IMC)

Graduate Certificate in Data Analytics

  • Graduate Certificate

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.

Key details

Degree Type
Graduate Certificate
Duration
0.7 year full-time, 1.5 years part-time
Course Code
111337G
Study Mode
In person

About this course

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.

By studying the Graduate Certificate in Data Analytics, students will enhance their understanding of data analytics and the fundamental role data analysts play in the industry.

The course provides an entry platform for further Graduate Diploma and Masters' degrees in data analytics.

Entry requirements

  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification); or
  • Completion of a graduate certificate or graduate diploma in a relevant field of study (which must include at least 1 unit of study of mathematics, statistics, or quantitative analysis); or
  • Five years' relevant work experience; or
  • Completion of a three-year post-secondary qualification, with an average pass mark of 70%, in a relevant discipline (which must include at least 1 unit of study of mathematics, statistics, or quantitative analysis)

    • Please refer to English Language Requirements

    Study locations

    Hobart Campus

    Sydney Campus

    Sydney Campus

    Perth Campus

    Career pathways

    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 include Data Analyst, Data Analytics Specialist, Data systems developer, Data-driven decision maker and so on.

    Credit for prior study or work

    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.

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