Duration

1.5 years

Starting Date

February, June, September

Tuition Fee

AUD 3,795 per module

Location

Adelaide, Brisbane, Sydney, Melbourne, Online

CRICOS

03389E

About the program

This innovative, multi-disciplinary Master of Business Analytics at Torrens University Australia is designed to meet the global demand for professionals with business acumen and competencies in converting data into valuable insights and solutions. Gaining theoretical and practical knowledge of the analytical lifecycle will help you diversify your career path as a business analyst or build new skills delivering data-driven business and social solutions.

Fundamental knowledge and skills in key analytical areas such as artificial intelligence, data, optimisation, and visualisation and storytelling will be developed. Contemporary technologies and communication techniques will also be examined to build your data and analytical capabilities along with your ability to converse with expert and non-expert stakeholders. Ultimately, you will learn how to elicit business requirements and recommend analytical solutions that seamlessly embed within business flows. The unique course design also provides the ability to link into other study opportunities for further career development including a Master of Business Administration or Master of Business Information Systems.

Learning outcomes

  • Implement optimised solutions to contemporary business challenges with evaluation of published literature and business analysis body of knowledge.
  • Recommend strategic solutions using analytics to achieve best business practice within a global context.
  • Apply data concepts and multiple information sources to transform business processes and managerial decisions.
  • Harness digital technologies including Artificial Intelligence to analyse and communicate information relevant to business and social challenges.
  • Transmit relevant and timely stakeholder insights and solutions using business analytics techniques.

Courses Included

  • Data Modelling and Database Design
  • Business Analysis
  • Statistics and Applied Analytics
  • Applied Optimisation in Business
  • Big Data Analytics in Business

Interested? Get started today!

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