Overview
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The Cyber Security: Data, Privacy, and AI Security Specialization is designed to give you the critical skills needed to protect organisations in today’s data-driven and AI-powered world. Bringing together three advanced courses Cyber Security: Data Security and Information Privacy, Cyber Security: Data Privacy, and Cyber Security: Security of AI, this program blends technical expertise, regulatory insight, and forward-looking strategy.
You’ll start by mastering the fundamentals of data security and information privacy, learning how to identify risks, apply de-identification techniques, and implement frameworks that ensure compliance with global regulations such as GDPR, HIPAA, and CCPA. From there, you’ll explore how to embed privacy by design across systems and processes, conduct privacy impact assessments, and respond effectively to incidents.
Finally, you’ll advance into one of the most pressing frontiers of cyber security: securing AI. You’ll understand how adversarial attacks threaten machine learning models, learn strategies to defend against manipulation, and explore techniques for building robust, trustworthy AI systems.
Developed by Macquarie University’s Cyber Skills Academy, ranked in the top 1% of universities globally. By the end, you will have the knowledge and applied experience to lead privacy initiatives, secure sensitive data, and protect AI systems, positioning yourself as a forward-looking cyber leader.
Syllabus
- Course 1: Cyber Security: Data Privacy
- Course 2: Cyber Security: Data Security and Information Privacy
- Course 3: Cyber Security: Security of AI
Courses
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• Watch our course introduction video before you enroll! (copy and paste into browser) https://vimeo.com/1176024308 Data Security and Information Privacy | Protect Identities. Preserve Trust. Power Compliance. This course helps compliance leaders, analysts, data scientists, and tech professionals secure data and ensure privacy by design. Developed by the Cyber Skills Academy at Macquarie University, this program offers hands-on methods and technologies to manage data security and privacy in real-world environments. You'll gain critical skills in: * Identifying threats, risks, and vulnerabilities in information systems. * Evaluating privacy risk using metrics and de-identification models (k-anonymity, l-diversity, t-closeness). * Applying differential privacy techniques for provable privacy. * Linking datasets securely with privacy-preserving record linkage. * Using tools for data encryption, anonymisation, and secure sharing. * Applying standards like ABS Five Safes and NIST Privacy Framework for compliance. This course empowers you to embed privacy as a core data strategy, reducing organizational risk and building trust. To succeed, learners should have a basic understanding of data concepts and digital environments.
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• Watch our course introduction video before you enroll! (copy and paste into browser) https://vimeo.com/1176025534 AI Security: Risks, Defences, and Safety. This course prepares cyber security professionals, developers, data scientists, and policy leaders to defend intelligent systems. As artificial intelligence integrates into critical infrastructure and applications, new cyber risks emerge, from adversarial attacks to data leakage. Developed by Macquarie University’s Cyber Skills Academy, this program aligns with emerging threats and international standards. You will gain real-world skills to: * Understand AI systems, architecture, and security risks (adversarial inputs, model poisoning, data leakage). * Assess and mitigate AI-driven cyber-physical risks in Operational Technology (OT) and Industrial Control Systems (ICS). * Navigate threats in AI deployments, including deepfakes, misinformation, ethical misuse, and privacy violations. * Apply security testing strategies and technical controls, such as encryption, red/purple/blue team exercises, and robustness benchmarking. * Align AI systems with Responsible AI frameworks, covering fairness, transparency, regulatory compliance, and trust. * Anticipate evolving risks from Artificial General Intelligence (AGI) and deploy proactive defences. To succeed, learners should have a foundational understanding of cyber security concepts. This course provides the technical fluency, ethical awareness, and strategic insight to secure AI across industries.Lead the defence. Secure AI now.
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• Watch our course introduction video before you enroll! (copy and paste into browser) https://vimeo.com/1176024202 Data Privacy: Design Trust. Safeguard Rights. Lead Responsibly. Privacy is a foundation of trust and a competitive advantage. With AI adoption and regulatory scrutiny increasing, organizations need professionals who embed privacy into decisions, systems, and strategy. This course, from the Cyber Skills Academy at Macquarie University, offers a practical exploration of modern data privacy. Gain expertise to manage privacy risks. You will gain skills to: - Build and maintain data inventories to track and govern personal data. - Apply Privacy by Design principles to minimize risk. - Conduct Privacy and Algorithmic Impact Assessments for bias, fairness, and compliance. - Use de-identification techniques and understand re-identification risks. - Design and execute privacy incident response plans. This interdisciplinary course blends legal, technical, managerial, and ethical perspectives. Practice applying global frameworks like GDPR, CCPA, and ISO 27001 to real scenarios. This course is for data professionals, compliance officers, managers, or executives. It empowers you to lead responsibly, safeguard identities, and build a privacy-first culture. To succeed, learners should have a basic understanding of data concepts and organizational processes.
Taught by
Matt Bushby