MSDSCM Program Proposed Roadmap 3 Terms (12-month) 

MSDSCM Program Proposed Roadmap 5 Terms (21-month)

Applications of managerial statistics for business decisions. Data collection, confidence interval estimation of mean and proportion, one and two-population hypothesis testing of mean and proportion, one-way and two-way Chi-square testing, simple linear regression, multiple linear regression, and Analysis of Variance.

This course aims to build the knowledge foundation of advanced operations and supply chain management, introduce trends in supply chain technologies, and cultivate leadership skills. Topics include: Process analysis; Inventory management; Quality management; Project management; Supply chain coordination; KPI tree/ROIC tree; Contemporary supply chain technology trend.

This course provides students with an introduction to the concepts, theories, and procedures associated with enterprise resource planning (ERP) and customer relationship management (CRM).  ERP integrates the functions of business to provide managers more useful, relevant information for decision making. CRM creates a customer-centric focused enterprise tools with the integration of ERP. The course helps students see how ERP and CRM can make the organization more effective and efficient both internally and externally.

This course provides both operational and strategic perspectives of global logistics and transportation management, which not only reduces the cost of distributing goods and services worldwide, but also creates value for companies and eventually creates unique competitive advantages. The course covers topics such as transportation, inventory and warehouse management, customer service, and logistics information flows. The course instruction includes lectures, business cases, and hands-on learning with software.

This course surveys the current technological trends in Supply Chain Management (SCM). The covered subjects may include contemporary supply chain technology areas such as blockchain, Robotic Process Automation (RPA), Internet of Things (IoT), Artificial Intelligence (AI), worker environment technology, warehouse technology, logistics technology, VR/MVR technologies, and etc.

This course aims to equip students with knowledge, experiences, and programming skills of applying predictive analytics in business contexts with hands-on exercises and projects. Students will learn to model significant and meaningful patterns embedded in historical data using data mining techniques, evaluate performance of machine learning models, and deploy the models for prediction.

This course establishes a bird’s-eye view of modern global supply chains. Students learn to examine and solve cross-functional and/or cross organizational supply chain problems, which typically involve high level coordination and complicated tradeoffs.  Contemporary supply chain related topics are introduced, such as supply chain finance, contracts, coordination, risk management, and network design.

This course covers MPC (Manufacturing Planning and Control) across the supply chain and incorporates information technology in MPC. Topics include demand forecasting and management, capacity planning, sales and operations planning, master production scheduling, and material requirement planning, production control and scheduling, and shop floor control.

This course provides students with an understanding of the impacts that purchasing and supply management have on the success and profitability of firms in today’s business environment. Topics include supply strategy, supply organization, supply processes and technology, make-or-buy, quality, quantity and inventory, delivery, price, cost management, supplier selection, supplier evaluation, supplier relationships, global supply management, legal and ethics, and other supply responsibilities.

This course aims to build knowledge foundation of quality and quality management and prepare students for related certificates. Topics include: Concepts of Lean and Six Sigma; DMAIC (Define, Measure, Analyze, Improve, Control) framework; Customer focus, supplier focus, and process focus of quality management; Statistical process control; Process improvement.

This course is to help students understand how complex business problems can be modeled, analyzed, and solved in an optimal manner. Students will learn to develop spreadsheet models for making complex business decisions, as well as interpret the results of such models. The course covers optimization models including various mathematical programming models and decision making under risk and uncertainty. 3 lecture/discussions.

Fundamental concepts and techniques of blockchain technologies. Introduction to cryptography and cryptocurrencies. Basics of distributed network consensus and integrity. Understanding smart contracts. What is the bitcoin blockchain? Decentralization, security, and ecosystem of bitcoin. Blockchain technology for transparent, sustainable, resilient, and secure business supply chains and business operations. Decentralized business models and design for different industries. Business successful cases in adoption of blockchains and decentralized networks. Computer programming in cryptography and blockchains.

This course surveys the basics in team science under the context of supply chain management, covering topics such as creating teams and managing teams from various supply chain functions, managing conflicts from the view of value creation and supply chain integration.  

Negotiation is the art and science of securing agreements between two or more interdependent parties. Managers need not only technical and analytical skills to develop optimal solutions to problems, but also negotiation and persuasion skills to ensure that these solutions are accepted and to secure the necessary resources for implementation. This course covers negotiation theory and strategies that are used in a variety of settings, and focuses on the real-life applications and practice of effective negotiation in supply chains.

An examination on the subject areas of the candidate’s coursework listed on the degree program.

This exam will cover a selection of topics in procurement, logistics, customer relationship management, quality management and lean process, production planning and controlling, supply chain strategic management, various areas in business analytics, and contemporary supply chain technologies etc.