The Supply Chain Analytics Level 3 Advanced Diploma is designed to equip learners with essential analytical skills and strategic knowledge needed to transform complex supply chain data into actionable insights. Beginning with an overview of core supply chain management principles, the course guides students through each analytical stage—descriptive, predictive, and prescriptive—to build a robust foundation in supply chain intelligence. It emphasizes the importance of analytics in streamlining logistics, enhancing forecasting accuracy, and improving operational performance.

Participants will explore various data analysis techniques, including data collection, cleaning, and transformation, ensuring they are capable of handling large and diverse data sets. Through hands-on exercises and case studies, learners will apply descriptive analytics to uncover patterns in supply chain data, while predictive models will help them forecast demand and make proactive decisions. Prescriptive analytics is introduced to teach students how to optimize inventory, logistics, and production planning using real-world scenarios.

The course also focuses on supply chain risk management, teaching how to assess and mitigate disruptions through data-backed strategies. Students will delve into advanced topics such as simulation, network optimization, and the integration of machine learning for more accurate forecasting and scenario planning. The program culminates with a capstone project that challenges learners to apply their skills to a real business issue, showcasing their analytical capabilities and strategic thinking.