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PROGRAM OVERVIEW

This Graduate Certificate will introduce students to foundational programming, mathematical and statistical concepts which can be applied to large data sets to derive information to make high-level, data-driven decisions. The second term of this course includes a particular focus on marketing and social media applications of data analytic tools. The flexibility and insights offered by a data analytics skillset can be used for data driven change and  problem solving across many business sectors.

Key learning outcomes include:

  • Theoretical and technical knowledge of data analytic methods and tools.
  • Analytical methods for extracting information and making decisions in a data-rich environment.
  • The use of computer programming languages to generate data analytic algorithms.
  • Understanding of the ethical, economic and social implications of data acquisition and use.

DURATION

1 term full-time or 2 terms part-time.

DELIVERY SITE

A mixture of online delivery and on-campus delivery at South Eveleigh, Sydney. 100% Online during COVID-19 pandemic restrictions period.

APPLICATION DATE

Refer to key dates

ENTRY REQUIREMENTS

  • An Australian bachelor's degree (or equivalent qualification, including an overseas qualification);
  • Completion of IMC Postgraduate Preparation Program; or 
  • Completion of a three-year post-secondary qualification, with an average pass mark of 70%, in a relevant discipline; or 
  • Three years' relevant work experience.
 

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

ENGLISH LANGUAGE REQUIREMENTS

Applicants holding an overseas equivalent of an Australian Bachelor’s degree must provide proof of English language proficiency at IELTS 6.5 or its equivalent.

CREDIT ARRANGEMENT

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

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.

PATHWAY TO EMPLOYMENT / FURTHER LEARNING

This Graduate Certificate is a foundational program suitable for those seeking employment and/or further development in the fast-growing area of data analytics. All professional and business sectors are now placing a heavy emphasis on data-driven decision-making, and graduates may find employment in industries as diverse as manufacturing, finance, health, software development, and media and communications.

Upon completion of this certificate, students may choose to extend their studies in the Master of Business Administration (Business Analytics) degree*. Students will receive 24 credit points of advanced standing and exemption from equivalent units in that degree.