Curriculum
Executive Master in AI and Digital Transformation
Executive Master in AI and Digital Transformation » Program Details » Curriculum
Core Courses
This course equips leaders with the essential knowledge of AI principles, technologies, and applications critical for strategic decision-making. This course covers AI and machine learning fundamentals, and the integration of AI with business strategies to drive innovation and efficiency. Designed for executives, it provides the insights needed to navigate the AI landscape, fostering a culture of innovation within organizations.
Lecturer: Tan Wee Kek & Mohan Kankanhalli
This course equips leaders with insights into the transformative power of generative artificial intelligence (AI) in the business realm. This course delves into the core principles of generative AI, including the machine learning model such as GPT, and its strategic applications across various industries. Participants will explore innovative uses in product development, content creation, decision-making, and customer engagement. Through case studies and practical examples, executives will learn to leverage generative AI to drive innovation, enhance competitiveness, and address ethical considerations. This course is essential for leaders aiming to capitalize on AI-driven opportunities in the digital age.
Lecturer: Huang Ke Wei
AI-Driven Digital Transformation: Strategies and Implementations" explores the integration of artificial intelligence (AI) into digital transformation strategies across various business sectors. This course covers critical topics such as AI technology fundamentals, data-driven decision making, AI application in enhancing customer experience, operational efficiency, and creating competitive advantages. Through case studies and real-world examples, students will learn how to effectively implement and manage AI technologies within their organizations.
Lecturer: Foong Sew Bun
This course addresses the crucial need for ethical leadership and compliance in the rapidly evolving domains of AI and Blockchain technology. This course explores foundational ethical principles, governance frameworks, and regulatory considerations essential for executives navigating these technologies. Key topics include ethical AI use, blockchain transparency, data privacy, regulatory compliance, and the societal impacts of technological advancements. Through case studies and industry examples, leaders will learn to implement responsible practices that align with global standards and foster trust and integrity in AI and blockchain initiatives.
Lecturer: Goh Khim Yong & Simon Chesterman
This course explores pivotal emerging technologies reshaping business landscapes, tailored for executives. Current topics include the Metaverse, Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), 5G telecommunications, Autonomous Vehicles, with additional emphasis on Quantum Computing and Edge Computing. This course is designed to provide a comprehensive overview of emerging technologies, fostering understanding of their business applications and potential impact. The exact list of new technologies covered in the future depends on the evolution of new technologies.
Lecturer: Chia Tek Yew
This course offers a deep dive into the entrepreneurial strategies and innovation management techniques vital for thriving in today’s technology-driven market. This course explores the lifecycle of digital ventures, from ideation and validation to scaling and exit strategies, with a focus on leveraging AI and blockchain technologies. Participants will engage with the principles of agile innovation, digital business models, and the role of data in decision-making. Tailored for executives, this course illuminates pathways for leading disruptive projects and fostering a culture of innovation within organizations, ensuring they remain competitive in the rapidly evolving digital landscape.
Lecturer: Edward Tay
This course examines the transformative role of AI in digital finance across various sectors. It covers AI applications in corporate finance, investment strategies, real estate, insurance, and lending practices. Emphasis is placed on financial fraud prevention, online KYC processes, and enhancing operational efficiencies. Designed for executives in nonfinancial sectors, this course offers strategic insights into integrating AI to optimize financial operations and decision-making processes.
Lecturer: Chia Tek Yew
‘AI in Digital Marketing: Strategies and Innovations’ unravels the transformative role of AI in reshaping marketing strategies. Covering AI-driven analytics, customer segmentation, content personalization, and automated digital campaigns, this course equips executives with the insights to leverage AI for enhancing customer experiences and achieving marketing objectives efficiently. Participants will explore the integration of AI with IT for innovative marketing solutions, ensuring they stay ahead in the competitive digital marketing landscape.
Lecturer: Goh Khim Yong & Heng Cheng Suang
The Capstone Project is a culminating course for the Executive Master's in AI and Digital Innovations, offering students the opportunity to apply their learning to real-world business challenges. Integrating concepts from AI, digital transformation, and innovative technologies, participants will work in teams to design, develop, and implement a project that addresses a significant issue in their industry. This intensive experience mirrors strategic decision-making and innovation at the executive level, ensuring practical application of theoretical knowledge.
Programme Overview
The Executive Master in AI and Digital Transformation at NUS offers a transformative learning experience designed to empower you with the skills and knowledge needed to accelerate your career into leadership roles such as CIO, CTO, or Chief Digital Officer.
You will gain:
- A comprehensive understanding of AI and emerging technologies with practical applications across a variety of courses.
- Unparalleled networking opportunities, connecting participants with a diverse cohort of peers, industry leaders, and NUS professors and alumni to build lasting professional relationships and collaborations.
- Firsthand exposure to cutting-edge technologies and strategies driving the digital economy, through study trips to global innovation hubs in the USA and China.
The executive-friendly, modular structure allows participants to balance work commitments while earning a globally respected NUS degree, equipping you with executive credibility and future-proof skills necessary to thrive in an era of rapid technological disruptions.
Career Advancement:
Gain cutting-edge skills and strategic insights in AI and digital transformation to fast-track career progression into leadership roles such as CIO, CTO, or Chief Digital Officer.
Networking Opportunities:
Build an influential, diverse network of peers, industry leaders, and alumni who can become collaborators, mentors, or partners in your professional journey.
Comprehensive Knowledge of AI and Technology:
Gain a deep understanding of AI and emerging technologies with practical applications to real-world business challenges.
Executive Credibility and Credentials:
Enhance your professional profile with an Executive Master’s degree from NUS, a globally respected institution ranked among the top universities.
Exposure to Global Innovation Hubs:
Participate in study trips to leading tech ecosystems in the USA and China to gain first-hand experience with cutting-edge digital innovations.
Seamlessly Balance Work and Study:
Benefit from an executive-friendly program structure with modular learning that accommodates your work schedule and commitments.
Admission Requirements
Admissions Requirements: At NUS AIDF, we welcome experienced professionals who are ready to lead at the intersection of AI, innovation, and digital transformation. We take a holistic approach to admissions, valuing leadership potential, diverse perspectives, and a commitment to lifelong learning.
- Educational Background
A bachelor’s degree is typically required for admission.
However, this requirement may be waived for exceptional candidates who demonstrate outstanding professional achievements or leadership potential.
- Work Experience
Applicants should have at least 8 years of full-time work experience.
In select cases, candidates with a minimum of 6 years may be considered if they exhibit exceptional capabilities and career progression.
- Standardized Tests
GMAT or GRE scores are not required for admission.
Applicants who hold degrees from international institutions are encouraged to submit test scores to support their application, though it is not mandatory.
- English Language Proficiency
Applicants must be fluent in English.
- TOEFL or IELTS scores are not required if:
- English is your native language, or
- You have completed a degree where English was the medium of instruction.
We value intellectual curiosity, global outlook, and the readiness to drive meaningful change. If this sounds like you, we encourage you to apply.
WHO IS THIS PROGRAMME FOR?
Current and Future Leadership Roles
- CIO, CTO, Chief Digital Officer, Chief AI Officer, Chief Innovation Officer
- Senior executives leading AI-driven transformation in technology, finance, operations, and other sectors.
Investors and Financial Decision-Makers
- Venture capitalists, family office executives, and financial analysts interested in investing in AI and emerging technologies.
Entrepreneurs and Business Owners
- Founders and business leaders seeking to leverage AI for innovation, scale new ventures, or transform existing businesses.
Policymakers and Regulatory Professionals
- Government officials, regulators, and policymakers shaping AI governance, ethics, and compliance in an evolving digital landscape.
Programme Courses
This course equips leaders with the essential knowledge of AI principles, technologies, and applications critical for strategic decision-making. This course covers AI and machine learning fundamentals, and the integration of AI with business strategies to drive innovation and efficiency. Designed for executives, it provides the insights needed to navigate the AI landscape, fostering a culture of innovation within organizations.
This course equips leaders with insights into the transformative power of generative artificial intelligence (AI) in the business realm. This course delves into the core principles of generative AI, including the machine learning model such as GPT, and its strategic applications across various industries. Participants will explore innovative uses in product development, content creation, decision-making, and customer engagement. Through case studies and practical examples, executives will learn to leverage generative AI to drive innovation, enhance competitiveness, and address ethical considerations. This course is essential for leaders aiming to capitalize on AI-driven opportunities in the digital age.
This course empowers leaders to harness data-driven insights for strategic decision-making. Covering the fundamentals of business intelligence (BI) systems, data analytics
processes, and visualization techniques, it emphasizes practical applications in operational, financial, and market analysis. Executives will explore advanced topics including database and data warehousing, data engineering, data visualization technologies, and predictive analytics and their integration with IT technologies to drive innovation, efficiency, and competitive advantage in today’s digital economy.
AI-Driven Digital Transformation: Strategies and Implementations" explores the integration of artificial intelligence (AI) into digital transformation strategies across various business sectors. This course covers critical topics such as AI technology fundamentals, data-driven decision-making, AI application in enhancing customer experience, operational efficiency, and creating competitive advantages. Through case studies and real-world examples, students will learn how to effectively implement and manage AI technologies within their organizations.
This course addresses the crucial need for ethical leadership and compliance in the rapidly evolving domains of AI and Blockchain technology. This course explores foundational ethical principles, governance frameworks, and regulatory considerations essential for executives navigating these technologies. Key topics include ethical AI use, blockchain transparency, data privacy, regulatory compliance, and the societal impacts of technological advancements. Through case studies and industry examples, leaders will learn to implement responsible practices that align with global standards and foster trust and integrity in AI and blockchain initiatives.
This course explores pivotal emerging technologies reshaping business landscapes, tailored for executives. Current topics include the Metaverse, Augmented Reality (AR), Virtual Reality (VR), Internet of Things (IoT), 5G telecommunications, Autonomous Vehicles, with additional emphasis on Quantum Computing and Edge Computing. This course is designed to provide a comprehensive overview of emerging technologies, fostering understanding of their business applications and potential impact. The exact list of new technologies covered in the future depends on the evolution of new technologies.
This course offers a deep dive into the entrepreneurial strategies and innovation management techniques vital for thriving in today’s technology-driven market. This course explores the lifecycle of digital ventures, from ideation and validation to scaling and exit strategies, with a focus on leveraging AI and blockchain technologies. Participants will engage with the principles of agile innovation, digital business models, and the role of data in decision-making. Tailored for executives, this course illuminates pathways for leading disruptive projects and fostering a culture of innovation within organizations, ensuring they remain competitive in the rapidly evolving digital landscape.
This course examines the transformative role of AI in digital finance across various sectors. It covers AI applications in corporate finance, investment strategies, real estate,
insurance, and lending practices. Emphasis is placed on financial fraud prevention, online KYC processes, and enhancing operational efficiencies. Designed for executives in nonfinancial sectors, this course offers strategic insights into integrating AI to optimize financial operations and decision-making processes.
AI in Digital Marketing: Strategies and Innovations’ unravels the transformative role of AI in reshaping marketing strategies. Covering AI-driven analytics, customer segmentation, content personalization, and automated digital campaigns, this course equips executives with the insights to leverage AI for enhancing customer experiences and achieving marketing objectives efficiently. Participants will explore the integration of AI with IT for innovative marketing solutions, ensuring they stay ahead in the competitive digital marketing landscape.
The Capstone Project is a culminating course for the Executive Master's in AI and Digital Innovations, offering students the opportunity to apply their learning to real-world business challenges. Integrating concepts from AI, digital transformation, and innovative technologies, participants will work in teams to design, develop, and implement a project that addresses a significant issue in their industry. This intensive experience mirrors strategic decision-making and innovation at the executive level, ensuring practical application of theoretical knowledge.
Exposure to Leading Practitioners Across The Globe
Experience a flexible curriculum blending online and in-person learning, delivered by leading academics and industry experts. Designed for busy professionals, the program's compressed monthly schedule enables seamless balancing of work and study. Engage in immersive trips to innovation hubs like Hong Kong, Shenzhen, Silicon Valley, and Boston, combining visits to cutting-edge FinTech startups with expert-led lectures.
FEES & FINANCIALS
TOTAL TUITION FEES
S$109,000 (including GST)
- Application fee: S$100 (including GST)
- Both company-sponsored and self-sponsored candidates are welcome to apply.
- Note: The university reserves the right to revise the fee as appropriate.
SCHEDULE OF PAYMENTS
- 1st Payment: S$9,000 upon acceptance (non-refundable acceptance fee)
- 2nd Payment: S$50,000 before the start of the programme in December 2025
- 3rd Payment: S$50,000 in July 2026
OTHER EXPENSES
The programme fee covers tuition, course materials, and select networking events. However, the following additional costs are not included and should be considered:
- Flights & Accommodation: Participants are responsible for their own travel and lodging expenses for in-person modules, international residencies, or study trips.
- For in-person lectures in Singapore and during the study trip, lunch will be provided. Additionally, one or two tea breaks are included each day. However, breakfast and dinner are not provided, and participants should budget accordingly for these meals, as well as for other personal expenses.
- Visa & Travel Insurance: International participants may need visas and travel insurance, depending on their country of residence.
- Optional Workshops & Certifications: Certain supplementary workshops, industry certifications, or executive coaching sessions may be available at an additional cost.