Online MBA | Subjects
Curriculum Details
12 subjects required
The Online MBA comprises 12 subjects and is designed to be flexible, accelerated, and industry aligned. Delivered in six-week study blocks, the program allows you to balance study with professional and personal commitments.
With relevant prior study, you may be eligible for credit and complete the MBA in as little as one year. Many students finish within 18 months full-time.
To complete the MBA, you will undertake:
- 12 subjects focused on AI-enabled strategy, leadership, and business fundamentals
Choose from three future-focused specialisations:
- AI, Analytics and Cybersecurity
- Digital Health
- Leadership and Governance
You’ll work with an MBA Director to create a personalised study plan and build a portfolio of applied work that demonstrates your leadership capability in AI-enabled, data-driven environments. Graduate ready to lead change, apply AI strategically, and create sustainable value in a rapidly evolving economy.
For more information on completion timelines or specialisation options, you can speak with an enrolment adviser or request further details.
Core subjects (90CP)
Credits
This subject provides a contemporary approach to strategy formulation and implementation. The emphasis is on design-thinking and creative ideation for solving problems and strategy execution in a rapidly changing global environment. Independently and with others, you will explore and apply concepts that offer a basis for solving complex strategic issues facing organisations. You will conceptualise and validate solutions to a problem using an evidence -based analysis.
Elective subjects (select one, 15CP)
Credits
Capstone subject (15CP)
Credits
Elective subjects (select four, 60CP) OR Select a specialisation below
Credits
As data becomes ever more complex to analyse, the need for tools to help integrate the user’s knowledge and inference capability into the analytical process becomes important. In analytics, this is generally referred to as visualisation, which this subject will cover in detail from various perspectives, for example, temporal, spatial, spatial-temporal, multi-variate, text/documents, graphs and networks, and more. These perspectives will be covered with various business applications in mind including, statistical and summary reporting, trends spotting and projections, process capture, and real-time reporting. These applications will be discussed with reference to various visual analytics frameworks and theories as well as case examples.
In this subject, you will explore the evolution of virtual care models by learning the “art and science” behind virtual care applications and keeping abreast with the latest developments in technologies (including devices from the Internet of Medical Things (IoMT)) used for health delivery. You will learn about the ethical challenges that are faced in this space. You will also evaluate the strengths and weaknesses of these technologies and understand the need to provide evidence-based virtual care.
Digital health specialisation (select four, 60CP)
Credits
In this subject, you will explore the evolution of virtual care models by learning the “art and science” behind virtual care applications and keeping abreast with the latest developments in technologies (including devices from the Internet of Medical Things (IoMT)) used for health delivery. You will learn about the ethical challenges that are faced in this space. You will also evaluate the strengths and weaknesses of these technologies and understand the need to provide evidence-based virtual care.
AI, analytics and cybersecurity specialisation
Credits
As data becomes ever more complex to analyse, the need for tools to help integrate the user’s knowledge and inference capability into the analytical process becomes important. In analytics, this is generally referred to as visualisation, which this subject will cover in detail from various perspectives, for example, temporal, spatial, spatial-temporal, multi-variate, text/documents, graphs and networks, and more. These perspectives will be covered with various business applications in mind including, statistical and summary reporting, trends spotting and projections, process capture, and real-time reporting. These applications will be discussed with reference to various visual analytics frameworks and theories as well as case examples.
Leadership and governance specialisation
Credits
Request more information
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