MSc Managing AI in Business

Module 1: AI in Practice (30 credits)

Human-centric AI through societal, philosophical, and historical lenses
Evaluating AI platforms, regulatory frameworks, and ethical considerations
The role of AI in workplace decision-making and employee wellbeing
Real-world case studies in AI implementation challenges
Foundations for technology consulting, AI advisory, and policy roles

Module 2: AI and Business Transformation (30 credits)

Foundational concepts: machine learning, natural language processing, automation
AI applied to real-world cases in SMEs and multinationals
Strategic frameworks for AI adoption and digital mindset
Leadership, culture, and managing resistance to AI integration
Comparative analysis of global AI practices and ethical considerations

Module 3: Principles of AI (30 credits)

The AI ecosystem: infrastructure, software platforms, and business applications
Origins of AI: philosophy of mind, Turing's legacy, symbolic reasoning
Neural networks, machine learning, and emerging AI architectures
Bias, trust, and the democratic implications of AI systems
Communicating complex AI concepts to diverse audiences

Module 4: Sustainable Business and Responsible Technology (30 credits)

Sustainability frameworks: Triple Bottom Line and Circular Economy
Embedding the UN Sustainable Development Goals into digital strategy
Systemic thinking and stakeholder analysis
Ethical leadership and responsible technology adoption
Pathways to ESG strategy, sustainability consultancy, and AI governance

Module 5: International Dissertation (60 credits)

Independent, business-focused research project
Application of AI knowledge to a strategic business challenge
Synthesis of AI strategy, ethics, and sustainability gained throughout the programme
Research methods, critical thinking, and evidence-based decision-making
Final dissertation demonstrating academic rigour and practical relevance