Executive Diploma in AI for Business
Lead Enterprise AI to Unlock Business Transformation
The programme learning will pause for holidays during Christmas (24 Dec 2026 – 1 Jan 2027) and Chinese New Year (5 Feb – 12 Feb 2027).
Future-Proof Your Career
Future-Proof Your Career
Emeritus and Singapore Management University unite to offer an exclusive opportunity. Enrol by Invalid liquid datausing the code: APAC5PERCENT9622 and receive a get 5% programme fee benefit. Limited seats available. Reserve your spot today!
What is the Executive Diploma in AI for Business?
Combining academic rigour with industry-recognised, applied learning, the programme develops practical capabilities across enterprise AI, data analytics, machine learning, AI strategy, and business transformation. Through hands-on projects, real-world business applications, and an Executive AI Transformation Capstone, participants build the confidence to lead AI initiatives, drive operational excellence, and create sustainable business impact.
80%
US$1 trillion
30%
Why Choose SMU
#5 Globally
#2in Asia
#5 in Asia
What are the outcomes of the Executive Diploma in AI for Business?
Build a strong foundation in AI, GenAI, Agentic AI, and data.
Apply machine learning and predictive analytics to business challenges.
Leverage GenAI and AI agents to automate enterprise workflows.
Drive smarter business decisions with AI and data analytics.
Apply AI across marketing, finance, operations, and supply chain.
Lead responsible AI adoption through governance and ethical practices.
Develop enterprise AI roadmaps and lead AI transformation initiatives.
What are the highlights of the Executive Diploma in AI for Business?
30-Week AI Accelerator
Covering enterprise AI, GenAI, Agentic AI, and analytics.
Business-First AI Curriculum
AI applications designed around contemporary business challenges.
5+ Live Sessions
Attend interactive sessions with SMU faculty and senior experts.
Executive AI Transformation Capstone
Apply your learning to solve a real business challenge.
Applied AI Case Studies
Explore AI applications across key business functions and industries.
10+ AI Tools
Learn to leverage leading enterprise AI tools and platforms
SMU Associate Alumni Status
Access Associate Alumni Status and benefits upon successful completion.
Pathway to SMU's MITB
Progress with 2 CUs towards SMU's Master of IT in Business
Who is the Executive Diploma in AI for Business designed for?
Mid-Career Business & Functional Leaders Driving AI Transformation
How this programme delivers value:
Builds a strong foundation in AI, Generative AI, Agentic AI, machine learning, and data-driven decision-making for business
Develops the ability to identify high-impact AI use cases that improve operational efficiency, customer experience, innovation, and business performance
Provides practical exposure to AI tools, copilots, autonomous workflows, and enterprise AI applications through hands-on learning
Equips professionals to collaborate effectively with AI, data, and technology teams while developing AI transformation roadmaps and measuring business impact
Early-Career Professionals Building AI & Data Capabilities
How this programme delivers value:
Builds foundational-to-intermediate knowledge of AI, machine learning, Generative AI, Agentic AI, Python, and enterprise AI applications
Develops the ability to translate business challenges into AI-powered solutions across functions such as marketing, finance, operations, HR, and customer service
Provides hands-on experience with prompting techniques, AI agents, workflow automation, and practical AI tools used in modern organisations
Strengthens AI literacy, business transformation capabilities, and data-driven decision-making skills to future-proof careers in an increasingly AI-driven workplace
The Executive Diploma in AI for Business: Curriculum
Block 1: AI Strategy and Business Foundations
Module 1: AI for Business Leaders
Module 2: Business Problem Framing for AI
Module 3: Data-Driven Decision Intelligence
Block 2: Data and AI Essentials
Module 4: Python Fundamentals
Module 5: Python for Analytics
Module 6: Data Preparation for AI
Block 3: Machine Learning and Predictive AI
Module 7: Machine Learning Foundations
Module 8: Predictive & Classification Modelling
Module 9: ML Model Evaluation & Explainability
Module 10: Risk & Decision-Making
Module 11: Foundations of Enterprise Gen AI
Block 4: Generative AI and Enterprise Innovation
Module 12: RAG & Enterprise Knowledge Systems
Module 13: Specialising Models for Your Business
Module 14: Deploying & Operating Gen AI Systems (LLMOps)
Module 15: Gen AI Security
Block 5: Agentic AI and Autonomous Systems
Module 16: Agentic AI for Intelligent Autonomy (incl. building & orchestrating)
Module 17: Trust & Provenance
Module 18: The Agent Economy
Block 6: Applied AI and Industry Applications
Module 19: AI Product Management (product economics)
Module 20: AI for Operations & Supply Chain
Module 21: AI for Marketing, Sales & Customer Growth
Module 22: AI in Financial Services & Markets
Module 23: Sustainable AI & ESG
Block 7: AI Governance, Transformation and Leadership
Module 24: Navigating AI Regulation and Compliance
Module 25: Leading Organisational and Workforce Change for AI
Module 26: AI Transformation: Operating Model and ROI
Module 27: Executive AI Transformation Project
Note: The programme curriculum is subject to change to reflect evolving industry requirements, emerging technologies and market trends.
Capstone Project
The Executive AI Transformation Capstone brings together every capability developed throughout the programme into one applied business project. Participants tackle a real enterprise challenge, integrating AI strategy, governance, and data-driven decision-making to create a practical transformation roadmap with measurable organisational impact.
Meet the faculty
Prof. Hady W. Lauw
Associate Professor of Computer Science, Director of BSc (Computer Science) Programme, SMU School of Computing and Information Systems (SCIS)
He received his PhD from Nanyang Technological University. His main areas of research are artificial intelligence, data mining and machine learning, with a focus on web mining...
Prof. Laura Wynter
Associate Professor of Computer Science (Practice), SMU School of Computing and Information Systems (SCIS)
She received her PhD from École Nationale des Ponts et Chaussées (ENPC), France and holds an MS from MIT. Her main areas of research include generative AI with large language ...
Prof. Michelle Cheong
Professor of Information Systems (Education); Associate Dean, SCIS Postgraduate Professional Education; Director, Doctor of Engineering
She received her PhD from Nanyang Technological University. Her main areas of research are decision-making and optimisation, operations analytics and spreadsheetbased data mod...
Prof. Dai Bing Tian
Associate Professor of Computer Science (Education); Director, MITB (Artificial Intelligence) Programme
He received his PhD from the National University of Singapore. His main areas of research are AI, machine learning and data analytics, applied to education, healthcare, financ...
Damien Kopp (external)
Associate Faculty, SMU Executive Development; Founder, RebootUp; former Head of Innovation at NCS (Singtel Group)
An electrical engineer by training, he holds a dual Executive MBA from Kellogg School of Management and HKUST. His main areas of expertise are AI strategy, digital transformat...
Prof. Shih-Fen Cheng
Associate Professor of Computer Science; Urban Fellow (Urban Systems)
He received his PhD from the University of Michigan, Ann Arbor. His main areas of research are optimisation and human decision-making in urban computing, transportation and co...
Prof. Don Ta
Associate Professor of Computer Science (Education); Faculty Manager, BSc (CS) Project Experience
He received his PhD from Nanyang Technological University. His main areas of research are AI-based programming education and cloud computing.
Prof. Akshat Kumar
Associate Professor of Computer Science, SMU School of Computing and Information Systems (SCIS)
He received his PhD from the University of Massachusetts Amherst. His main areas of research are artificial intelligence, decision-making and optimisation and machine learning...
Prof. Christoph Treude
Associate Professor of Computer Science, SMU School of Computing and Information Systems (SCIS)
He received his PhD from the University of Victoria. His main areas of research are software engineering, human-AI collaboration and AI for science.
Dr. Kiruthika Ramanathan
Senior Lecturer of Information Systems; Director, MITB (Digital Transformation) Programme
She received her PhD from the National University of Singapore. Her main areas of research are digital transformation, enterprise solutions and emerging technologies including...
Randall E. Duran
Senior Lecturer of Information Systems, SMU School of Computing and Information Systems (SCIS)
He holds BS and MS degrees in computer science from MIT and was formerly founder/CEO of fintech firm Catena Technologies. His main areas of research are fintech, AI and machin...
Ida Chao Kho
Associate Faculty, SMU Executive Development
She received her law degree (Juris Doctor equivalent) from the University of the Philippines. Her main areas of expertise are AI governance, data privacy, cybersecurity and re...
Note: The programme faculty is subject to change based on academic requirements, faculty availability, and institutional discretion.
Live Sessions
RAG across Enterprises: Building Trusted AI Knowledge Systems
Copilots and Autonomous Workflows: Building an Agentic Enterprise
AI Governance in Practice: Managing Risk, Regulation and Responsible Adoption
Scaling AI across Enterprises: Operating Models, Investment Cases and ROI
AI in Financial Services: Prediction and Intelligent Decisioning
Disclaimer: Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC,
Tools
Real-World AI Use Cases
Samsung ChatGPT Data Leak (2023)
OpenAI ChatGPT Data Exposure (2023)
Moffatt v. Air Canada -Chatbot Liability (2024)
Mata v. Avianca - AI Hallucinations in Legal Practice (2023)
Chevrolet Dealership Chatbot - Prompt Injection (2023)
EchoLeak - Microsoft 365 Copilot Data Exfiltration (2025)
Arup - Deepfake Fraud (2024)
KnowBe4 - Fake IT Worker (2024)
Ferrari - Failed Executive Deepfake Attempt (2024)
Amazon Fulfillment Network
Singtel & Singapore Airlines (Telecommunications & Aviation)
DBS & OCBC (Banking)
Note: All product and company names mentioned in this material are trademarks or registered trademarks of their respective holders. Their use does not imply any affiliation with or endorsement by them.
SMU Associate Alumni Network
On successful completion of the programme, participants will be eligible for the prestigious SMU Associate Alumni Status. The benefits include:
Discounts and exclusive promotions at participating merchants.
Up to 20% discount** on Lifelong Learning (Open Enrolment) Programmes offered by SMU Executive Development
Invitations to exclusive professional or networking events
Latest updates from SMU publications such as Keep Up (OAR quarterly alumni e-newsletter), SMU Engage (SMU e-newsletter) and Lift Up (Alumni Giving e-newsletter)
*Kindly be advised that these benefits are subject to change.
All benefits are subject to change at the discretion of SMU.
Certificate Awarded on Completion of the Executive Diploma in AI for Business
Participants who successfully complete the programme will receive a verified digital certificate issued by SMU. The programme also counts toward eligibility for alumni status, which provides access to alumni clubs, events, and professional networks.
Frequently Asked Questions
What is the eligibility/background required for the Singapore Management University’s Executive Diploma in AI for Business?
The Executive Diploma in AI for Business is designed for both mid-career business and functional leaders driving AI transformation and early-career professionals building AI and data capabilities. There is no specific eligibility criteria for this programme.
Who should apply for the Executive Diploma in AI for Business?
The programme is designed for professionals looking to build AI fluency, apply AI to business challenges and lead AI-driven transformation.
It is particularly suited for:
Mid-career business and functional leaders looking to drive AI adoption and enterprise transformation
Professionals in strategy, product management, business transformation, operations and analytics
Professionals from IT, consulting, marketing, finance and innovation
Early-career professionals looking to build capabilities in AI, data analytics, machine learning and business transformation
Professionals seeking to translate business challenges into AI-powered solutions and make more data-driven decisions.
What is the programme curriculum of the Executive Diploma in AI for Business by Singapore Management University?
The curriculum is built around 7 blocks, combining AI strategy, data analytics, machine learning, Generative AI, Agentic AI, industry applications, governance and leadership:
AI Strategy and Business Foundations
Data and AI Essentials
Machine Learning and Predictive AI
Generative AI and Enterprise Innovation
Agentic AI and Autonomous Systems
Applied AI and Industry Applications
AI Governance, Transformation and Leadership
The programme culminates in an Executive AI Transformation Capstone, where participants apply their learning to solve a real business challenge and develop an executive-ready AI transformation roadmap.
Is the Executive Diploma in AI for Business live or recorded?
The programme follows a blend of pre-recorded video lectures and live sessions. Participants learn through pre-recorded lectures from SMU faculty for self-paced learning, interspersed with 5+ live sessions with SMU faculty and industry experts. The live sessions cover topics such as RAG across Enterprises, Copilots and Autonomous Workflows, AI Governance, Scaling AI across Enterprises and AI in Financial Services.
What is the programme fee for Singapore Management University’s Executive Diploma in AI for Business?
Diploma in AI for Business?
The programme fee is USD 3,900 + applicable taxes.
The brochure states that applicable taxes will be charged at checkout.
Are there any instalment or finance options available?
The programme brochure does not specify instalment or financing options. Participants seeking information about available payment options should contact the programme adviser.
What is the duration of the Executive Diploma in AI for Business?
The programme is designed as a 30-week learning journey and is delivered in an online format with live sessions. Participants should expect approximately 6–8 hours of effort per week.
Do all participants get a certificate of completion?
Upon successful completion of the programme, participants will receive a verified smart digital Certificate of Programme Completion from Singapore Management University.
The digital certificate can be shared with potential employers and added to a resume, cover letter or LinkedIn profile. The brochure states that the certificate is sent approximately two weeks after the programme, once grading is complete.
Are there any networking opportunities in the Executive Diploma in AI for Business?
Yes. Participants can benefit from live interactions with SMU faculty and industry experts during the programme.
Upon successful completion, participants are also eligible for SMU Associate Alumni Status, which includes invitations to exclusive professional or networking events, along with other alumni benefits.
What are some of the roles and professional backgrounds represented by the target cohort?
The programme is designed for professionals across a broad range of business and technology functions, including:
Product Management
Strategy
Business Transformation
Operations
Analytics
Digital Transformation
IT
Consulting
Marketing
Finance
Innovation
It also caters to professionals looking to develop AI and data capabilities for future roles in strategy, product, analytics and leadership.
What is the structure of the programme?
The 30-week Executive Diploma in AI for Business follows a business-first learning journey spanning 7 curriculum blocks, covering:
AI Strategy and Business Foundations
Data and AI Essentials
Machine Learning and Predictive AI
Generative AI and Enterprise Innovation
Agentic AI and Autonomous Systems
Applied AI and Industry Applications
AI Governance, Transformation and Leadership
Early registrations are encouraged. Seats fill up quickly!
Flexible payment options available.
Starts On