AI Leadership

Programme type
Online Career Accelerator
Location
Online
Start date
9 Jun 2025 - Open
Duration
6 months
Commitment
5 - 10 hours per week
Department
Department of Management, Data Science Institute

Overview
Impact
Programme content
Who attends?
Why LSE?
Faculty
Fees and entry requirements

Overview

AI is disrupting every sector, but most professionals lack the clarity and confidence to lead it. The LSE AI Leadership Accelerator closes this gap. Designed for mid- to senior-level leaders, this six-month online programme empowers you to assess AI opportunities, build board-ready business cases, and confidently lead AI strategy, without needing a technical background.

Developed with leading industry voices and LSE faculty from the Departments of Management and the Data Science Institute, this Accelerator combines real-world projects, executive coaching and live industry interaction. You’ll complete the programme with the strategic capabilities and leadership outputs to drive AI transformation in your business and unlock new career growth.

Impact

Confidently assess where AI can add business value and prioritise initiatives for measurable impact
Build, pitch and lead strategic AI investments, even without a technical background
Develop responsible, compliant AI strategies by navigating ethics and governance
Use AI to enhance productivity, decision-making and team performance
Earn a career-accelerating certificate from LSE and develop a strategic AI leadership portfolio

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Programme content

This online leadership career accelerator is delivered over six months with four core courses and integrated coaching.

Programme structure

How you will learn

Key learning features:

Who attends?

This programme is designed for professionals ready to lead AI transformation:

Senior leaders & executives: Drive ethical, strategic AI decisions at scale
Directors & managers: Translate AI potential into tangible results
Consultants: Advise clients with credibility and frameworks

Sector specialists: Lead innovation in AI-intensive industries (finance, health, tech, law)

Why LSE?

LSE Online builds on our 125-year tradition of exploring the interconnected, multidisciplinary nature of our world that shapes society and business globally. Since our inception in 1895, LSE has been a pioneer in providing courses for professional development. Our founding commitment is to understand the causes of things for the betterment of society. Never has this been a more important goal than in these times of unparalleled change. We provide you with the insights and skills to think critically and independently. To make the connections, see the greater picture. To shape the future by understanding today. Whatever stage you are in your life and career. Wherever you are in the world.

Faculty

Department overview

The Department of Management is a world-leading centre for research and education in business and management. Situated within one of the world’s foremost social science institutions, the Department leverages its unique position at the heart of LSE to explore how management practices are shaped by — and can influence — complex social, economic and political forces worldwide.

The Data Science Institute forms the institutional cornerstone of data science and Artificial Intelligence (AI) activity at The London School of Economics and Political Science. Working alongside academic departments and research centres across the School, the DSI fosters research, education and engagement in the study of data science and AI through a social science lens.

Fees and entry requirements

Tuition fee: £6,450 (Offer for the June Founding Cohort only), £7,995 standard

Flexible payment options available. LSE alumni automatically qualify for a preferential rate of 20% off the programme fee.

Upon successful completion of this Accelerator, you’ll earn a prestigious LSE certificate and complete a series of real-world projects designed to build your leadership credibility in AI. These can be used to showcase your strategic and practical expertise in driving AI transformation

Entry criteria: