AI Strategies for Industry 5.0 (MGT504)

MGT504 AI Strategies for Industry 5.0 equips future business leaders to drive AI-powered transformation within the context of Industry 5.0—a human-centric, sustainable, and resilient industrial paradigm. Students will gain practical knowledge of core AI technologies and explore their applications across sectors such as finance, healthcare, retail, and manufacturing. Emphasis is placed on strategic AI integration, data-driven personalisation, and ethical considerations such as bias, privacy, and regulatory compliance. Through real-world insights and actionable frameworks, students will learn to identify high-impact opportunities, improve decision-making, and cultivate collaborative human-machine ecosystems. By the end of the course, they will be prepared to lead responsible AI initiatives that align technological innovation with societal benefit in an increasingly complex global economy.

• The evolution of industrial revolutions: From Industry 1.0 to 5.0
• Key drivers, enablers, challenges, and opportunities in Industry 5.0
• Smart systems in practice: Factories, cities, products, and services
• Designing human-centric, sustainable, and resilient Industry 5.0 ecosystems
• The strategic role of data, knowledge, and collaboration in future organisations
• Foundations of artificial intelligence: Concepts and context
• AI technologies and techniques: Machine learning, NLP, and beyond
• Strategic implementation of AI in organisational contexts
• Ethical, responsible, and trustworthy AI
• AI in action: Industry applications across sectors
• Navigating organisational challenges in digital transformation
• Emerging trends and innovations in AI and Industry 5.0

• Evaluate the strategic role of innovation in fostering human-centric, sustainable, and resilient Industry 5.0 ecosystems
• Critically appraise the drivers, enablers, and emerging developments shaping next-generation industries
• Assess core concepts and evolving technologies in intelligent systems and automation for industrial and business applications
• Examine the ethical, societal, and regulatory challenges of AI adoption, including bias, privacy, and compliance
• Design strategic frameworks for implementing AI solutions aligned with industry-specific needs and organisational goals
• Formulate data-driven strategies to address complex business challenges and enhance operational decision-making
• Propose transformative digital initiatives that strengthen organisational agility, competitiveness, and workforce empowerment