Master of Science in Operations and Supply Chain Analytics
Transforming Data into Action, Optimizing the Future of Supply Chains
📘Program Overview
This program provides advanced expertise in using data analysis, modeling techniques, and tools to optimize operations and supply chain processes. Students will gain hands-on experience with cutting-edge technologies such as Excel Solver, Python (NumPy, Pandas), and R for forecasting and supply chain management. With a focus on practical projects, students will design and implement effective solutions to real-world challenges in supply chain optimization.
🎯What You Will Learn
Supply Chain Analysis & Modeling: Gain deep insights into supply chain dynamics and optimize processes using data analysis and advanced modeling tools.
Forecasting & Predictive Techniques: Learn to apply predictive analytics for demand forecasting, inventory management, and supply chain optimization.
Data-Driven Decision Making: Develop the ability to make informed decisions using data visualization tools such as Tableau and Power BI.
Automation & Machine Learning: Explore the integration of machine learning for automation and enhancing supply chain systems.
Internet of Things (IoT) in Supply Chain: Learn how IoT devices are transforming supply chain management and improve operational efficiency through real-time data.
👤 Who Should Enroll
This program is ideal for professionals and graduates with a background in business, engineering, or data science who are looking to enhance their skills in operations and supply chain analytics. It’s perfect for individuals seeking to excel in roles like supply chain manager, operations analyst, and data scientist within the supply chain industry.
🎓 Program Outcomes
Master Tools and Techniques: Acquire proficiency in industry-standard tools like Excel Solver, R, and Python for supply chain analysis and forecasting.
Optimized Decision Making: Learn how to leverage data to make strategic decisions that improve operational efficiency and reduce costs.
Advanced Analytics: Apply machine learning, predictive modeling, and data analytics to real-world supply chain challenges.
Hands-On Experience: Gain practical experience through projects and simulations, preparing you for immediate success in the field.