Year 1 — Trimester 1

• Academic Integrity and Respect at Deakin
• Career Tools for Employability
• Introduction to Programming
• Discrete Mathematics
• Computer Systems
• Introduction to Data Science and Artificial Intelligence

Year 1 — Trimester 2

• Object-Oriented Development
• Database Fundamentals
• Computer Networks and Communication
• Introduction to Mathematical Modelling

Year 2 — Trimester 1

• Data Structures and Algorithms
• Computational Intelligence
• Data Wrangling

Year 2 — Trimester 2

• Machine Learning
• Professional Practice in Information Technology
• Linear Algebra for Data Analysis

Year 3 — Trimester 1

• Deep Learning
• Natural Language Processing
• Team Project A - Project Management and Practices

Year 3 — Trimester 2

• Robotics, Computer Vision and Speech Processing
• Minor or Open Elective Unit
• Team Project (B) – Execution and Delivery
• IT Placements and Industry Experience
• Professional Practice

This minor explores ethical, social, and policy dimensions of AI deployment in real-world contexts. You will examine how machine learning affects communities, fairness, accountability, and human-centred design, preparing you to build responsible AI systems that address societal challenges while meeting professional and regulatory expectations in industry and public sectors.

This minor develops skills in cloud architecture, deployment, and scalable service design using industry-standard platforms. You will learn to provision, manage, and secure cloud infrastructure for AI and data workloads, gaining practical experience aligned with modern enterprise environments and certifications such as Microsoft Azure used across Deakin’s IT programs.

This minor builds foundational knowledge in information security, risk management, and secure system design for AI and IT applications. You will study threats, cryptography, network defence, and security best practices, developing the skills to protect data and computational systems in professional settings where AI solutions handle sensitive information.

This minor covers the design and programming of embedded hardware and software for intelligent devices. You will work with microcontrollers, sensors, and real-time systems that underpin robotics, IoT, and edge AI applications, connecting your artificial intelligence studies to physical computing and industry-relevant embedded engineering practice.

This minor develops end-to-end web and application development skills from front-end interfaces to back-end services and databases. You will build deployable software systems that integrate AI models into user-facing products, strengthening your ability to deliver complete technical solutions valued by employers in software engineering and data-driven product teams.