Program Overview

Master of Information Technology (Artificial Intelligence)

Course Overview

The Master of Information Technology (Artificial Intelligence) is designed to equip students with advanced expertise in AI and machine learning, while developing broader capabilities across the IT field. The course covers key areas, including natural language processing, deep learning, and AI governance, providing students with the specialist knowledge and tools to develop and implement complex AI systems.

Course Structure

• Foundation core units:
  • Programming Fundamentals (12 credit points)
  • Rapid Web Development with Databases (12 credit points)
  • Computer Systems and Security (12 credit points)
  • Systems Innovation and Design (12 credit points)
• Advanced core units:
  • Machine Learning (12 credit points)
  • Cyber Security and Governance (12 credit points)
  • Software Lifecycle Management (12 credit points)
  • Human-Centred Design of IT Systems (12 credit points)
  • Introduction to Research (12 credit points)
• Capstone units:
  • Industry pathway:
    • Industry Project (Phase 1) (12 credit points)
    • Industry Project (Phase 2) (12 credit points)
    • Industry Project (Phase 3) (12 credit points)
  • Research pathway:
    • Industry Research Project (Phase 1) (12 credit points)
    • Industry Research Project (Phase 2) (12 credit points)
• Core units – Artificial Intelligence major:
  • Students must complete three of the following units (36 credit points):
    • Trust and Artificial Intelligence (12 credit points)
    • Machine Learning for Natural Language Processing (12 credit points)
    • Advanced Machine Learning and Applications (12 credit points)
• Core optional units – Artificial Intelligence:
  • Students can choose one of the following units (12 credit points):
    • Introduction to Data Science (12 credit points)
    • Data Analytics for Strategic Decision-Makers (12 credit points)
    • Introduction to Statistics for Data Science (12 credit points)

Entry Requirements

Students can gain entry into the Master of Information Technology (Artificial Intelligence) with the following:

• A completed recognised bachelor's degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) for the 2-year program.
• A completed recognised bachelor's degree (or higher) in information technology with a minimum GPA of 4 (on a 7-point scale) for the 1.5-year program.
• A completed recognised bachelor's degree (or higher) in any discipline with a minimum GPA of 4 (on a 7-point scale) plus 3 years FTE of professional work experience in information technology for the 1.5-year program.
• A completed recognised Graduate Certificate in Information Technology with a minimum GPA of 4 (on a 7-point scale) for the 1.5-year program.
• A completed recognised Graduate Diploma in information technology (in the same discipline as the planned major) with a minimum GPA of 4 (on a 7-point scale) for the 1-year program.

Course Outcomes

As a graduate of this course, students will demonstrate advanced knowledge in artificial intelligence and machine learning, with the ability to apply industry tools and techniques to complex IT systems. They will be equipped to critically analyse AI challenges, design innovative solutions, and communicate their ideas effectively across technical and non-technical audiences.

Skills and Tools

• Demonstrate understanding of AI research principles and apply them to real-world scholarly or professional projects.
• Demonstrate advanced knowledge in the artificial intelligence discipline.
• Apply advanced AI methods and tools to design and implement complex IT systems and solutions.
• Critically assess complex AI challenges and apply creative solutions.
• Demonstrate business acumen and well-developed values, attitudes, behaviours, and judgements in professional contexts.

Potential Career Opportunities

• Chief Technology Officer: Coordinate an organisation's IT resources and activities to ensure they align with strategic goals and support business growth.
• AI Product Manager: Lead the strategy, development, and delivery of AI-powered products, bridging technical innovation with business impact.
• Machine Learning Engineer: Design, build, and optimise machine learning models and systems to solve real-world problems and drive intelligent product experiences.
• AI Governance Analyst: Lead the implementation of AI governance, balancing innovation and risk management.
• Automation Consultant: Leverage AI and intelligent systems to streamline workflows, optimise processes, and enhance operational efficiency across an organisation.

Fees

The estimated total fees for the course are AUD $19,400, which includes a 70% subsidy with a Commonwealth Supported Place (CSP). Limited CSPs are available for domestic students only, and annual fees are subject to change.

Duration

The course duration is 2 years full-time or part-time equivalent, with flexible study options available to suit students' needs. The course is fully online, allowing students to learn in their own way and balance their study with other commitments.