Teaching

Schedule

1. W1

   What Is AI? Demystifying the Technology

   Machine learning, deep learning, generative AI, and large language models — what they are, how they work, and what they can and cannot do.

2. W2

   AI in the Enterprise Landscape

   Current AI adoption patterns across industries. Case studies in retail, healthcare, finance, and the public sector. Where AI creates value and where it fails.

3. W3

   Building an AI Strategy

   Aligning AI investment with business strategy. Identifying AI-ready problems, evaluating build vs. buy decisions, and defining success metrics for AI initiatives.

4. W4

   Data Foundations for AI

   Why data quality determines AI outcomes. Data governance, data literacy, and the organisational capabilities required to sustain AI at scale.

5. W5

   AI Ethics and Responsible Use

   Bias in algorithms, transparency and explainability, accountability frameworks, and the regulatory landscape — Australia's AI Ethics Principles and the EU AI Act.

6. W6

   AI Governance and Risk Management

   Establishing an AI governance structure. Risk classification of AI systems, procurement due diligence for AI vendors, and third-party model accountability.

7. W7

   Generative AI and the Future of Work

   Large language models, copilots, and agentic AI in the workplace. Workforce implications, change management, and sustaining human oversight.

8. W8

   Capstone — AI Adoption Proposal

   Students present an AI adoption proposal for a real or hypothetical organisation — strategy, governance, ethics considerations, and a business case.

Learning Outcomes

• Articulate how core AI and machine learning techniques work and where they add business value
• Develop an enterprise AI adoption strategy aligned to organisational risk appetite and capability
• Evaluate AI tools, vendors, and platforms using a structured governance framework
• Identify and mitigate ethical risks in AI deployment — bias, transparency, accountability, and privacy
• Design AI governance structures appropriate to their organisation's size, sector, and regulatory environment

Assessment

Schedule

1. W1

   Foundations of Business Analysis

   The role of the business analyst, the BA lifecycle, and how BA fits within organisational strategy and project delivery.

2. W2

   Stakeholder Analysis and Engagement

   Identifying, mapping, and managing stakeholders. Techniques for eliciting requirements through interviews, workshops, and observation.

3. W3

   Requirements Elicitation and Documentation

   Functional and non-functional requirements, use cases, user stories, and acceptance criteria.

4. W4

   Business Process Modelling (BPMN)

   Current-state and future-state process mapping using BPMN 2.0. Identifying inefficiencies, bottlenecks, and automation opportunities.

5. W5

   Business Case Development

   Structuring a compelling business case — cost-benefit analysis, ROI, risk assessment, and presenting recommendations to executive stakeholders.

6. W6

   Agile Business Analysis

   BA practices in agile and hybrid delivery environments. Backlog refinement, sprint ceremonies, and maintaining traceability in iterative development.

7. W7

   Data-Driven Decision Making

   Using data analytics and dashboards to validate requirements, measure outcomes, and communicate business value.

8. W8

   Capstone — BA in Practice

   Applied case study — students analyse a real-world scenario end-to-end, from stakeholder mapping through to a presented business case and process model.

Learning Outcomes

• Apply structured techniques to elicit and document business requirements
• Model current and future business processes using BPMN
• Develop a business case with financial and risk analysis
• Work effectively in agile delivery environments as a BA contributor
• Use data to validate requirements and communicate value to stakeholders

Assessment

Schedule

1. W1

   The Cybersecurity Landscape

   Current threat actors, attack vectors, and high-profile case studies. Why cybersecurity is a board-level concern.

2. W2

   Risk Management Frameworks

   Introduction to ISO/IEC 27001, NIST Cybersecurity Framework, and Australia's ASD Essential Eight.

3. W3

   Security Governance and Strategy

   Establishing a security governance structure, defining roles (CISO, security champions), aligning security investment with business risk appetite.

4. W4

   Identity, Access, and Data Protection

   Principles of least privilege, identity and access management (IAM), data classification, and encryption.

5. W5

   Threat Detection and Incident Response

   Building and testing an incident response plan. Roles during a cyber incident, communication strategies, containment and recovery.

6. W6

   Regulatory Compliance and Legal Obligations

   Australian Privacy Act, GDPR for international operations, Notifiable Data Breaches scheme, and sector-specific requirements.

7. W7

   Vendor and Supply Chain Risk

   Assessing third-party security posture, cloud provider shared responsibility models, and managing outsourced technology risk.

8. W8

   Security Culture and Awareness

   Building a security-aware workforce. Social engineering defences, phishing simulations, and embedding security into organisational culture.

Learning Outcomes

• Assess organisational cybersecurity risk using established frameworks (NIST CSF, ISO 27001, ASD Essential Eight)
• Design and oversee a security governance structure appropriate to their organisation
• Develop and test an incident response plan
• Navigate Australian and international compliance obligations (Privacy Act, GDPR, NDB scheme)
• Evaluate vendor and cloud security posture as part of procurement and partnership decisions

Assessment