Specialist Certificate in Intelligent Supply Chain (Synchronous & Asynchronous e-Learning)
About This Course
This Specialist Certificate prepares participants to meet the growing demand for digitally skilled supply chain professionals within Singapore's evolving supply chain ecosystem, where digitalisation, automation, and data-driven technologies are transforming supply chain operations.
The curriculum integrates smart transformation, digital twin simulation, and decision intelligence to develop capabilities in integration, systems modelling, and optimisation, supported by data-driven and artificial intelligence (AI)-assisted decision-making for complex supply chain systems.
By combining digital technologies with real-world applications, the programme equips participants to design, model, and optimise supply chain operations, enabling them to support and lead the transition toward smart, resilient, and intelligent supply chain systems.
What You'll Learn
Apply systems modelling and digital twin techniques to represent and analyse supply chain operations, enabling scenario evaluation and performance assessment under varying operational conditions and uncertainties.
Develop supply chain decision models using optimisation-based, data-driven, and artificial intelligence (AI)-assisted approaches, and evaluate decisions through scenario analysis to support effective decision-making under uncertainty.
Entry Requirements
A well-prepared participant should come with knowledge and skills as indicated below:
• Interpret basic operational data and performance metrics (e.g., demand, inventory, service levels).
• Apply structured problem-solving approaches in organisational or operational contexts.
• Use basic digital tools (e.g., spreadsheets) to organise and analyse data.
• Basic understanding of physical system modelling, block diagrams, software/scripting literacy
• A good grasp of probability distribution functions and statistics that are essential in modelling and understanding simulation outcomes
• An understanding of Internet of Things (IoT) concepts such as sensor data fundamentals, signal processing, feature engineering
Participants who are unfamiliar with these areas are encouraged to review foundational materials prior to commencing the course.