For more information about this programme, please contact:
NTU PACE
Email: ask.microcredentials@ntu.edu.sg
FlexiMasters in Smart Supply Chain Management
The FlexiMasters in Smart Supply Chain Management is designed for professionals in supply chain, logistics, transport and manufacturing sectors. Ideal for engineers, logisticians and information technologists, this programme equips learners with in-demand skills in end-to-end supply chain management, logistics strategy and data-driven decision-making. Through industry-relevant courses, learners will master forecasting, planning, inventory, supply chain management using data analytics, and order fulfilment using smart technologies. The learning in this programme is practical and engaging, featuring hands-on activities, simulations, real-world case studies and teamwork. Learners get to stay competitive in a digital-first economy by gaining the expertise to drive supply chain efficiency and innovation. This programme is suitable for working professionals seeking career advancement or transition into high-growth roles in the manufacturing, service and transport sectors.
The FlexiMasters in Smart Supply Chain Management is mapped to the MSc in Supply Chain Engineering from NTU's School of Mechanical and Aerospace Engineering (MAE).
Key Benefits
By the end of this programme, learners will be able to:
- Design the multi-modal transport networks of learners' organisations to optimise shipping operations and reduce costs.
- Harness advanced data analytics tools to uncover insights, forecast demand accurately and make intelligent, real-time supply chain decisions.
- Build robust and responsive planning systems that align supply with dynamic market demands and mitigate disruptions.
- Acquire practical knowledge in designing effective inventory policies and describe key issues in the designing of supply chain contracts.
- Apply quantitative models and simulations to improve operational decision-making, increase efficiency and support continuous process improvement across the supply chain.
Programme Structure
- The programme consists of five courses worth a total of 15 Academic Units (AUs).
- Assessment(s) will be conducted during every course and learners will be graded based on their performance in the assessment(s).
- Individuals without relevant background may find the contents of the programme challenging.
- Mode of class delivery: Classroom, Synchronous and Asynchronous E-Learning (course dependent)
Upon successful completion, the following qualifications will be awarded:
- A Graduate Certificate will be awarded to learners attaining 9 AUs, with a minimum Grade Point of 2.5 (which is equivalent to a letter grade of C+) for each course.
- A FlexiMasters will be awarded to learners attaining 15 AUs, and achieving a minimum Grade Point of 2.5 (which is equivalent to a letter grade of C+) for each course.
Pathway to the Master's programme:
Credits earned are valid for 5 years for transfer of credits to the Master of Science in Supply Chain Engineering. The minimum Grade Point eligible for transfer of credits to the Master of Science in Supply Chain Engineering is 2.5 (which is equivalent to a letter grade of C+). Transfer of credits is by application and the application will be assessed and approved by the University in accordance with University Credits Transfer and Course Exemption Policy.
Assessment
To meet the requirement of SkillsFuture Singapore, assessment(s) will be conducted during every course.
The assessment(s) include:
1. Specialized Transport Management
- Team Assignment
- Quizzes
- Final Examination
2. Data Analytics for Smart Supply Chain Management
- Quiz
- Programming Assignment
- Group Assignment
3. Advanced Supply and Demand Planning
- Quizzes
- Group Assignment
- Final Examination
4. Supply Chain Inventory Planning
- Supply Chain Game (Group)
- Case Study Analysis
- Quiz
- Final Examination
5. Models for Operational Decisions
- Quizzes
- Final Examination
Who Should Attend
Programme Curriculum
Course title | Objective |
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Specialized Transport Management | This course focuses on linking of various forms of multi-modal operations to support sea transport. Learners will also be exposed to the challenges, and possible solutions to recent disruptions to global trade. They will become familiar with the air cargo markets, players in the industry, models of operation, opportunities and challenges, and processes of handling regular and specialized cargo. This course will also apprise learners of emerging concepts of multi-modal transportation, including ocean freight. Learners will examine the enhanced role of inter-modal transportation systems, carrier characteristics, carrier pricing, carrier selection and transportation cost. After attending this course, learners will have the skills to better design the multi-modal transport networks of their organisations. By the end of this course, learners will be able to:
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Data Analytics for Smart Supply Chain Management (3 AU) | As more companies switch to Industry 4.0 technologies and digitize their supply chains, they have access to tremendous amount of data on their supply chain operations. Companies are now looking to mine this data and automate some of the planning processes that drive their supply chains. This course is thus designed to equip learners with tools that can help them drive more value out of their supply chain data. Learners will be able to analyse large datasets and extract meaningful insights for better decision-making in supply chain management, perform various data analytics and apply them in supply chain scenarios. This course also aims to develop learners’ competencies in designing data-driven solutions for supply chain challenges and to foster critical thinking and problem-solving skills, enabling learners to address complex supply chain issues using data analytics. By the end of this course, learners will be able to:
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Advanced Supply and Demand Planning | Sales and Operations Planning (SOP) has emerged as an essential top management tool and this course delves into it. This course integrates concepts in business planning, demand and supply planning, design, Information Technology and change management. This course focuses on planning and control of inventories and manufacturing capacities, demand management, order fulfilment, production scheduling, and other supply chain issues. Learners will be able to develop planning and analytical skills useful for sales and operations planning, demand management, order fulfilment, master production scheduling and planning and control of capacity and requirement planning of component/sub-assembly. By the end of this course, learners will be able to:
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Supply Chain Inventory Planning | All companies are part of supply chains which extend globally, and this requires a systems point of view for effective design and management. This course emphasises on the challenges afflicting supply chains and the value of information sharing among supply chain partners that can help to overcome those challenges. Learners will develop skills for designing effective inventory policies and understanding of key issues in design of contracts to align incentives with the company’s suppliers and customers. Learners will also learn different supply chains designs for different product types and stages of product lifecycle. This course also delves into advanced topics important to supply chain managers, such as design of inventory policies, pipeline inventory considerations, supply chain contracts, and selection of key performance indicators for effective management of global supply chains. By the end of this course, learners will be able to:
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Models for Operational Decisions | Data is becoming ubiquitous in modern organisations including both manufacturing and service industries. Operational decisions in many sectors are increasingly based on models of operations using quantitative methods. This course is designed to equip learners with fundamental quantitative techniques for modelling related to strategic and tactical decisions. Learners will learn to model problems involving distribution network design, assignment, production scheduling and inventory allocation, staff scheduling, and portfolio allocation, to name a few. These will help them in making more informed managerial decisions concerning capacity planning, production, logistics and network optimisation. This course is highly recommended for learners keen on taking on roles of operations analysts, planners and managers. By the end of this course, learners will be able to:
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Schedule & Venue
Venue: Classroom, Synchronous and Asynchronous E-Learning (course dependent)
Date and Time: Please refer to course schedule for AY2025-2026 Semester 1 here
COURSE TITLE | COURSE DATES | REGISTRATION CLOSING DATE |
Specialized Transport Management | Not offered in AY2025-2026 Semester 1 | - |
Data Analytics for Smart Supply Chain Management | Not offered in AY2025-2026 Semester 1 | - |
Advanced Supply and Demand Planning | Not offered in AY2025-2026 Semester 1 | - |
Supply Chain Inventory Planning | 11 Aug 2025 - 5 Dec 2025 | 21 July 2025 |
Models for Operational Decisions | 11 Aug 2025 - 5 Dec 2025 | 21 July 2025 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Smart Supply Chain Management (9 AU), FlexiMasters in Smart Supply Chain Management (15 AU) and Master of Science in Supply Chain Engineering (30 AU).
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.
Certification
![]() | These courses are part of:
Learners will receive their Statement of Accomplishment (for a grade of D and above) or Certificate of Participation for each course—dependent upon their assessment performance. |
Fees and Funding
Programme Fee: S$25,751.25 (inclusive of GST)
BEFORE funding & GST | AFTER SSG funding (if eligible under various schemes) & 9% GST | |||
SSG Funding Support | Programme Fee | Course Fee | Programme Fee Payable | Course Fee Payable |
Singapore Citizen (SC) and Permanent Resident (PR) (Up to 70% funding) | S$23,625.00 | S$4,725.00 | S$7,725.38 | S$1,545.08 |
Enhanced Training Support for SMEs (ETSS) | S$23,625.00 | S$4,725.00 | S$3,000.38 | S$600.08 |
Singapore Citizen aged ≥ 40 years old SkillsFuture Mid-career Enhanced Subsidy (MCES) (Up to 90% funding) | S$23,625.00 | S$4,725.00 | S$3,000.38 | S$600.08 |
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits for each course. Click here for more information.
- Learners can utilise their SkillsFuture Credits for these courses.
- Singaporeans aged 40 years and above are able to use their SkillsFuture Credit (Mid-Career) top-up of $4,000 to offset the course fees after SSG funding.
Faculty and Industry Trainer
Mr. Edward C. W. Lau | Mr. Edward C. W. Lau is the Chief Executive & Director of Pointline Enterprise Private Limited, a strategic consulting firm specialising in aviation, supply chain management, transportation, e-commerce fulfilment, joint-venture establishments, and M&A organization integrations. Previously, he served as President, Asia of Landmark Global, a wholly owned company of bpost, facilitating international expansions for cross-border e-commerce businesses. Mr. Lau also held the CEO position at Jetstar Hong Kong Airways and spent over a decade at TNT Express, where he spearheaded significant roles including Managing Director Hong Kong and Regional Director, Global Account Management, Asia Pacific. His background also includes founding roles at Federal Express in Asia Pacific and positions at Rosenbluth International and the Hay Group. Mr. Lau brings over 30 years of extensive leadership and industry expertise. He holds a Graduate Diploma in Business Communications from The Chinese University of Hong Kong and a Postgraduate Award in Management and Business Studies from the University of Warwick, UK. Mr. Lau is a Chartered Fellow at the Chartered Institute of Logistics & Transport, serving as Vice-Chairman & Board Director at CILT-Singapore and Global Advisor to Women in Logistics & Transport (WiLAT). He is also a Part-time Lecturer at Nanyang Technological University and Singapore University of Social Sciences.
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| Dr. Goh Shao Hung is a part-time faculty member at the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. His research and teaching interests include supply chain management, operations management, logistics and transportation, and business analytics. With over 15 years of industry experience, Dr. Goh has worked with multinational companies in roles at a major supply chain services provider and a container shipping line. Dr. Goh holds a PhD in Management Science from Lancaster University, an MSc in Logistics and Supply Chain Management from the National University of Singapore, and an MSc in Industrial Engineering from the Georgia Institute of Technology.
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![]() Instructor for: Data Analytics for Smart Supply Chain Management Models for Operational Decisions | Dr. Li Dong is currently a Senior Lecturer in the School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore. He earned his Ph.D. in Management Science from the Rotterdam School of Management, Erasmus University. His research interests are data-driven methods in analyzing optimal decisions for operations and supply chain management, new business models, and sustainability strategies. His research work has been published in top-tier scientific journals including Management Science, Production and Operations Management, etc. Dr. Li Dong has been teaching analytics, operations management, and supply chain management courses for undergraduate, graduate, MBA, and executive programs. He has also delivered training and consultancy services to various organizations. |
![]() Instructor for: Data Analytics for Smart Supply Chain Management | Dr. Arif Mohamed is a Lecturer in the School of Mechanical and Aerospace Engineering at Nanyang Technological University since 2023. Dr. Arif Mohamed has established a diverse research portfolio that also includes data-driven methods in air traffic conflict detection and fluid dynamics. In the academic setting, Dr. Arif Mohamed is currently the course coordinator for Introduction to Data Science and Artificial Intelligence, and teaches Introduction to Computational Thinking, Aerodynamics, and Aircraft Navigation and Flight Computers. |
![]() Instructor for: Advanced Supply and Demand Planning Supply Chain Inventory Planning | Assoc Prof Rajesh Piplani (Ph.D. Purdue University, 1995) is an associate professor at Nanyang Technological University, Singapore and the Director of M.Sc. programme (Supply Chain Engineering). Assoc Prof Piplani's interests are in supply chain design and inventory planning of manufacturing, logistics and pharmaceutical enterprises. His latest project entails investigation of machine learning to shop floor control and supply chain planning. Assoc Prof Piplani has offered customized programmes for various companies (PSA, DHL, Singapore Customs, TNT, Phillips, Maxtor), and for all the three branches of Singapore Armed Forces (Army, Navy, and Air Force). He has worked on supply chain modelling and analysis projects for Singapore-based companies in the pharmaceutical, automotive, electronics and beverage sectors. |
![]() Instructor for: Models for Operational Decisions | Dr. Chen Songlin obtained a bachelor’s degree in aerospace engineering from the National University of Defense Technology in 2001, a Master’s degree in Aeronautics and Astronautics from Stanford University in 2003, and a PhD in Industrial Engineering & Engineering Management from HKUST in 2008. He has also attended the Stanford Executive Program in 2023. He is currently a Senior Lecturer and the Assistant Chair of graduate studies at the School of Mechanical & Aerospace Engineering of Nanyang Technological University, Singapore. His research interest focuses on advanced manufacturing, system reliability and risk analysis, and digital transformation of enterprises. |