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Course Information

Graduate Diploma of Business Analytics

Effective from 01-JAN-2022 : Code T57

In the Graduate Diploma in Business Analytics students will be exposed to a range of relevant theory, knowledge and approaches to develop and enhance their conceptual and practical understanding of data analytics in business areas such as accounting and finance, human resource management, marketing and supply chain management. Students will also be given opportunities to work with a range of Business Analytics tools to identify patterns and trends in complex data sets, and to visualise them in meaningful ways. Such an understanding is essential for those who want to pursue a role in Business Analytics as well as business professionals who want to improve the quality of data-driven decisions in their business areas.

Disclaimer

This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.

Course Learning Outcomes

  1. Communicate advanced analytics knowledge, concepts and skills to a variety of audiences in business settings.
  2. Apply high level, independent judgement when analysing and evaluating complex problems to generate data analytics solutions.
  3. Demonstrate advanced skills in data-driven planning, analysis and evaluation tasks in a range of business environments.
  4. Critique complex business issues considering the ethical and social consequence.

Admission requirements

Admission requirement (Band 6)

  • Bachelor degree; or
  • Equivalent prior learning including at least five years relevant professional experience.

English Language requirement (Band 4)

English competency requirements may be satisfied through completion of one of the following:

  • IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0);
  • Bachelor degree from a country specified in the Admissions Policy;
  • Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent);
  • Where accepted, equivalent prior learning, including at least five years relevant professional experience; or
  • Other tests, courses or programs as defined in the Admissions Policy.

Course Duration

  • Full Time: 1 Year
  • Part Time: 2 Years

Course Delivery

  • Joondalup: Full Time, Part Time
  • Online: Full Time, Part Time

Course Coordinator

Dr Kar Yin LEUNG

Course Structure

Students will complete five (5) core units and one (1) core option unit.

Unit Code Unit Title Credit Points
SBL6055Big Data, Analytics and Business Decision Making20
MAN6927Supply Chain Analytics20
MKT5325Applied Digital Marketing20
MAN6728People Analytics20
MAT6206Data Analysis and Visualisation20
Students will select one (1) unit from:
MAN5902 ^Business Systems Analysis20
ACC6045 ^Business Analytics for Accounting and Finance20

^ Core Option

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

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