Master of Information Technology (Extension) with Specialisation in Analytics Kaplan Business School - Perth Campus, Australia

The Master of Information Technology (Extension) is suitable for students who would like to investigate business opportunities by applying a range of technological and programming concepts and tools. You will learn how to formulate, advise and implement business solutions via the aid of technology-based approaches and to communicate complex solutions and outcomes to diverse stakeholders clearly and effectively. Additionally, you will become adept at creating collaborative technological strategies based on current real-world case studies.

You will also be taught how to apply a technical mindset when evaluating ethical, privacy and information security issues regarding technology. The course will enable you to graduate with the ability to construct, manage and operate in diverse expert teams to oversee technological initiatives.

If you would like to focus on a particular field in information technology, we offer four specialisations to choose from.

Course Learning Outcomes
Students enrolled in the Master of Information Technology (Extension) at Kaplan Business School will learn how to:

• Investigate business opportunities by applying a range of technological and programming concepts, research and tools.
• Persuade stakeholders on solutions and outcomes for complex technological problems.
• Demonstrate use of sound judgement to formulate, advise and implement business solutions via the aid of technology-based approaches.
• Create solutions for complex business problems by adopting an exploratory, technical and global mindset.
• Evaluate ethical, privacy and information security issues regarding technology.
• Construct, manage and operate in diverse expert teams to oversee technological initiatives.
• Create collaborative technological strategies and solutions based on current real-world case studies.

Specialisation: Analytics

Learn how to discover, interpret and analyse data for effective decision making and how to create machine learning models that improve business performance.

Directed specialisation subjects:

• TECH3100: Data Visualisation in R
• TECH3200: Artificial Intelligence and Machine Learning in IT
• TECH3300: Machine Learning Applications