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Global supply chains are being transformed by Artificial Intelligence (AI), data analytics and digital technologies. Organisations are looking for professionals who can lead AI-enabled, resilient and sustainable supply chains. The NUS Business School AI-Driven Supply Chain and Operations Management Programme equips participants with the skills to:
Leverage AI for demand forecasting and inventory optimisation
Improve supplier risk management and logistics efficiency
Apply IoT, blockchain, analytics and automation across supply chain functions
Strengthen capabilities in procurement, operations, risk management and sustainability
Gain hands-on experience through real-world case studies, simulations and a one-week capstone project
Learn from renowned NUS Business School faculty with strong industry expertise
Outcome: Graduate with the knowledge and practical skills to lead future-ready supply chains and accelerate your career across Singapore, Asia-Pacific and global markets.

Modules on AI and Generative AI enable the practical applications of AI and Generative AI in supply chain and operations management

Hands-On Learning through mini projects, simulation-based learning, practical models and frameworks.

One-Week Capstone Project to apply your learning to real-world supply chain scenarios.

Real-World Case Studies featuring industry-driven supply chain strategies and business challenges.

Faculty-Led Live Sessions and Self-Paced Learning with NUS Business School faculty, industry experts and pre-recorded lectures.

Certificate of Completion from one of Asia's top-ranked institutions.

Develop Strategic Supply Chain Expertise to design and manage end-to-end supply chain strategies that drive business value and competitiveness.

Leverage AI and Analytics to improve forecasting, inventory management, pricing strategies and supply chain visibility.

Drive Digital Supply Chain Transformation using AI, IoT, robotics, blockchain and automation to build agile and resilient operations.

Enhance Procurement and Supplier Management through digital procurement platforms and data-driven decision-making.

Build Resilient and Sustainable Supply Chains with strategies for risk management, circular economy initiatives and ethical practices.
This programme is designed for ambitious professionals who want to move beyond operational execution into strategic influence, data-driven to harness AI and digital technologies to transform supply chains and operations. It is best suited for:
Mid to senior-level professionals seeking to accelerate transformation by applying AI, generative AI and analytics to optimise supply chain and operational efficiency.
Senior-level professionals seeking to become adept at making strategic, data-driven decisions by leveraging emerging technologies to enhance efficiency and innovation across supply chain operations.
Fundamentals of operations in manufacturing and services
Process and systems view of the organisation
Product process matrix, process analysis
Digital transformation: opportunities and challenges
Supply chain planning, concepts, processes, and bottlenecks
Evaluating supply chain network strategy: capacity, technology
Translating supply chain decisions into financial terms
Demand forecasting and capacity planning
Supply chain structure design and framework
Aligning the supply chain with the organisation's goal and finance
The digitalisation of supply chain: insights and outlook
Internet of Things (IoT): sensors and actuators in the supply chain
Robotics and automation
Industry 4.0 and its role in the evolution of digital supply chains
Blockchain and supply chain transparency
Statistics for managers
Descriptive, predictive and prescriptive analytics
Data visualisation and interpretation
Decision tree and simulations
Multi-criteria decision making (MCDM)
Introduction to AI and ML in supply chain
Applications of AI and ML in the APAC supply chain landscape
Predictive demand forecasting using ML
Dynamic pricing strategies with AI
AI-driven supply chain visibility and risk management
Implementing AI and ML solutions: successful integration and challenges
Real-time tracking and monitoring
Inventory management: economic order quantity models, single period inventory models, etc.
Inventory optimisation with digital tools, including AI
Mini project/simulation on inventory optimisation
Designing for flexibility and responsiveness
Case study: Food from the Heart
E-procurement systems
Supplier collaboration platforms
Risk management in procurement
Smart warehousing technologies
Automation in distribution centers (including AI)
Last-mile delivery solutions
Examine digital supply chain solutions for modern manufacturing and services
Logistics and routing challenges in services
Gain insights into why digital supply chain strategies fail
Future-ready strategies for creating a flexible, agile, and resilient supply chain ecosystem for competitive advantage
Simulation and modelling in supply chain and logistics management/plan
Distribution strategies
Global logistics and risk management
Warehouse and inventory optimisation
Optimising supply chain roles and relationships
Digital trends in global supply chain management
Cash-to-cash cycle and working capital
Cost-to-serve modelling
Inventory valuation and financial reporting
Financial trade-offs in supply chain design
Supply chain finance metrics and dashboards
Scope 3 emissions and supply chain footprint
Carbon accounting and regulatory pressures
Sustainable sourcing challenges
Circular supply chain principles
Case study: ship breaking
Green supply chain practices
Ethical sourcing and fair trade
Circular economy in operations
Generative AI for intelligent supply chain design
Autonomous supply chain: AI + edge + robotics
Responsible and transparent AI in global supply chains
Supply chain interoperability with AI agents and LLMs
Project-based training in operations/supply chain innovation and solutioning
*The curriculum content is subject to change.
Apply your learning to solve real-world business challenges in a one-week intensive capstone project designed to simulate executive-level decision-making.

Associate Professor Analytics and Operations, NUS Business School
Specialist in Operations Management, Decision Sciences and Supply Chain Optimisation. With experience spanning scheduling optimisation, maritime logistics and AI-enabled analy...

Upon successful completion, you’ll receive a verified digital certificate from NUS Business School, globally recognised for excellence in management and technology education.
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed. Emeritus provides the following career preparation services:
Resume building videos
Interview preparation videos
Linkedln profile building videos
Interview guidebooks
Glossary of resume templates
Please note: NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here
What is it like to learn with the learning collaborator, Emeritus?
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Yes, Live sessions by the industry experts and NUS faculty. Apart from this, the remaining lectures would be high-quality pre-recorded sessions to give flexible learning, given the time constraints of working professionals.
Assignments will be graded by industry practitioners who are available to support participants in their learning journey and/or by the Emeritus grading team.
An assignment that is not submitted by the due date is late. Late assignments will be accepted until one week after the programme end date, which is published on the programme homepage.
Live sessions by seasoned industry professionals who have real-world session experience in the domain. Doubt-clearing sessions are carried out by the programme leaders, as they monitor individual student progress.
This course is designed with some of the best faculty and to cover relevant topics in a manner that creates positive career outcomes. As an additional service, we provide resume writing guidance, navigating the job search and interview prep, along with this course. However, we do not offer placement services with our courses.
We encourage learners to complete the course to fully understand the concepts and derive valuable learning outcomes. However, if you still choose to withdraw, you may request a full refund within 7 days of payment or 14 days after course commencement — whichever comes later. After this period, the course fee becomes non-refundable.
Upon successful completion of the programme, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools or potential employers. You can use it on your cover letter, resume and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the programme, once grading is complete.
You will have access to the online learning platform and all the videos and programme materials for 12 months following the programme start date. Access to the learning platform is restricted to registered participants per the terms of the agreement.
No, this programme is not eligible for SFC (SkillsFuture credit) because our programmes are curated as per global market research, which caters to global participation.
Flexible payment options are available.
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