AI is changing how firms create value, how people work, and where capability and power accumulate. And it is doing so in a contested geopolitical order, where compute, data and standards are also questions of sovereignty.
No technology is inevitable and every AI system carries choices: who decides, whose data travels, who gains capability, and who bears the risk. Those choices are usually made inside the technical architecture, before leaders see them. Our programmes help you see them, and shape them.
Elite business schools teach AI as a question of adoption and firm performance. Engineering schools teach it as a question of invention. LSE is the leading social science university for understanding and shaping technology. We study how technology, firms, markets, institutions and geopolitics shape one another, and we teach leaders not only how to adopt AI but how to shape the firms, markets and institutions it will create.
See the whole picture: understand AI as an economic, organisational, social and geopolitical force, not a tool alone.
Make the choices visible: recognise the decisions built into AI systems, and change them before their consequences harden.
Build capability, not just efficiency: use AI to strengthen your people and create new value, not only to cut costs.
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5 days
Escape the AI Death Trap. AI has moved value creation to the moment of use. Strategy must move with it.
Next application deadline:5 Apr 2027
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1 week, full-time
Navigate the psychology and impact of AI for your organisation.
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3 weeks
AI and IP Law: Copyright, Ownership, and Licensing examines live judgments and appeals defining how copyright applies to generative AI. Develop frameworks to evaluate ownership, and infringement risk.
Next application deadline:10 Nov 2026
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6 weeks
Explore the policy strategies driving AI governance.
Next application deadline:22 Sept 2026
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6 months
Build the skills, strategy and credibility to lead AI transformation — no technical background required
Next application deadline:9 Nov 2026
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1 week, full-time
Implement, align and scale responsible digital transformation
Next application deadline:26 Oct 2026
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6 weeks, part-time
Build the skills, strategy and credibility to lead AI transformation — no technical background required
Next application deadline:23 Sept 2026
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3 weeks
Develop the tools and skills to practise ethical reasoning and manage the diverse impacts of AI on individuals and society.
Next application deadline:15 Sept 2026
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8 weeks
Explore machine learning techniques to optimise your data analyses for informed business decision-making.
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8 weeks
Explore public policy innovations and technology, and the strategies for transforming and addressing the challenges in policy making.
Next application deadline:29 Sept 2026
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3 weeks, part-time
Define your organisation’s competitive edge in an AI-driven market. See how established firms defend, rebuild, and compound their market advantage; leave with an actionable, expert-assessed strategy.
Next application deadline:10 Nov 2026
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6 weeks, part-time
No coding. No algorithms. No technical background required. Just the practical frameworks and tools to lead AI transformation across your organisation – and prove it in the bottom line.
Next application deadline:13 Oct 2026
LSE works with organisations to build the strategy, skills and leadership to navigate organisational, economic and human challenges, and turn AI ambition into meaningful impact.
"When it comes to AI, I think it’s very crucial to take along all the stakeholders. The human impact is really important because the best tool doesn't help if you don't have people who want to use it or who want to go with you on the journey. "
Dr Dorottya Sallai explores the AI LEAD framework, developed through her work with companies worldwide, that underpins successful AI transformation.
Professor Youngjin Yoo
Professor of Information Systems and Innovation, Academic Director of LSE Lifelong Learning Digital & Innovation
Dr Dorottya Sallai
Associate Professor (Education) of Management
Dr Kate Vredenburgh
Course Convenor and Assistant Professor, Philosophy, Logic and Scientific Method
Dr. Antonio Cordella
Associate Professor of Management
Dr Michael Muthukrishna
Associate Professor of Economic Psychology
Dr Alexandra Cirone
Associate Professor
Dr Jonathan Cardoso-Silva
Assistant Professor (Education)
Professor Alexander Evans OBE FRHistS
Associate Dean (Strategic Development), MPA in Data Science for Public Policy Programme Director
Professor Prithwiraj Choudhury
Professor of Organisational Behaviour
Professor Andrew Murray
Professor of Law
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