Expert-Led Sessions
Learn directly from experienced faculty and practitioners across policy, technology, and governance.
Executive Education Programme
AI and Digital Transformation for Public Policy Leaders
Empowering public sector leaders to drive AI and digital transformation with confidence and impact.
Early-bird fee of S$5,440 + GST available until 17 September 2026
About the Programme
Leading AI and Digital Transformation
Artificial intelligence is no longer a technology question — it is a governance question. From automating citizen services and transforming healthcare delivery to reshaping national competitiveness and redefining the future of work, AI demands that public sector leaders move from spectators to shapers of outcomes. Yet most senior officials lack the strategic frameworks, technical literacy, and governance tools to lead this transformation confidently.
The AI and Digital Transformation for Public Policy Leaders Executive Programme empowers public sector leaders to confidently navigate the evolving landscape of AI and digital innovation. By combining technology insights with policy and governance perspectives, the programme helps leaders manage risks, support responsible adoption, and drive transformative outcomes for government, citizens, and society.
Through a combination of expert-led sessions, comparative country studies, hands-on workshops, and exclusive site visits to the latest AI innovations, you will develop a practical, context-specific AI governance playbook.
Programme Focus
What the Programme Covers
The programme covers strategic governance, ethical, and operational dimensions of AI in government, grounded in real-world case studies, expert-led discussions, workshops, and practical application.
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Foundations
Core AI concepts for policymakers.
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Governance & Strategies
AI and digital transformation governance and strategies.
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Policy Considerations
Ethical dimensions, risks, and mitigations.
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Evaluation & Impact
Impact measurement of AI and digital transformation strategies.
Why Join
What You’ll Learn
Leave with a practical, context-specific AI governance playbook you can apply from day one.
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Evaluate
How to evaluate AI technologies and their applicability to public sector challenges.
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Examine
How to examine risks and ethical considerations in implementing AI and digital transformation.
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Design
How to design an appropriate AI and digital transformation strategy informed by comparative best practices globally.
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Measure
How to measure the impact of AI-driven government programmes using meaningful KPIs and behavioural data.
The Learning Experience
Four Days of Immersive Learning
Comparative Country Studies
Examine how governments around the world are approaching AI adoption, regulation, and digital transformation.
Hands-On Workshops
Apply frameworks to real public-sector scenarios and translate learning into practical decisions.
Exclusive Site Visits
Go behind the scenes of the latest AI innovations and see responsible adoption in action.
Who Should Attend
Built for Public Sector Leaders
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Mid- to senior-level government officials responsible for national or organisational digital transformation, AI strategy, or public sector innovation
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Leaders of government technology agencies, digital offices, and data authorities
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Senior executives in state-owned enterprises or public agencies exploring AI deployment across operations and industries
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Anyone who seeks to gain strategic insights into AI and Digital Transformation for the public sector.
Our Speakers
Learn From Leading Experts
Learn directly from Lee Kuan Yew School of Public Policy faculty working at the intersection of policy, technology, and governance.
Yaacob Bin Ibrahim
Professor of Practice, Lee Kuan Yew School of Public Policy, NUS
Read bio for Yaacob Bin Ibrahim on the LKYSPP website
Vu Minh Khuong
Practice Professor, Lee Kuan Yew School of Public Policy, NUS
Read bio for Vu Minh Khuong on the LKYSPP website
Eduardo Araral
Associate Professor, Lee Kuan Yew School of Public Policy, NUS
Read bio for Eduardo Araral on the LKYSPP websiteProgramme Fees
Invest in Leading Responsibly
Standard Fee
S$6,800
+ prevailing GST, if applicable
Early Bird — until 17 Sep 2026
Early Bird / Alumni Rate
S$5,440
+ prevailing GST, if applicable
Early-bird rate available until 17 September 2026. The same rate applies to NUS and LKYSPP alumni and LKYSPP Executive Education past participants.
Group Registration
3 + 1 Free
For every 3 participants from the same organisation, the 4th participant attends for free.
*Only one promotion can be applied. Executive Education will apply the higher of the discounts (NUS and LKYSPP alumni / LKYSPP Executive Education past participant, or 4th person free).
*Fee is inclusive of lunch, refreshments, and learning support materials.
FAQ
Frequently Asked Questions
When is the application deadline?
Applications close on 17 October 2026. Submit your application early via the online application form to secure your place.
What are the programme dates and times?
Sessions will be held from 9.00 AM to 5.00 PM (Singapore Time) on 10 to 13 November 2026.
Do I need a technical background to attend?
No. The programme is designed for mid- to senior-level government officials and public sector leaders. It combines technology insights with policy and governance perspectives — you don’t need to build the technology; you need to know how to guide its use responsibly.
Can I combine the early-bird, alumni, and group promotions?
Only one promotion can be applied per registration. Executive Education will apply the higher of the applicable discounts (NUS and LKYSPP alumni / LKYSPP Executive Education past participant, or 4th person free).
What does the programme fee include?
The fee is inclusive of lunch, refreshments, and learning support materials.
I have more questions. Who can I reach out to?
Please contact us at lkysppoe@nus.edu.sg — our team will be happy to assist you. You can also send us a message using the enquiry form below.
Register Your Interest
Download the Brochure
Complete the short form to download the programme brochure. Our team will follow up with programme details and next steps.