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Program Costs

Complete the MS in Supply Chain Analytics in just three semesters, thanks to guaranteed class availability that ensures no delays in your educational journey. The program consists of 33 units, priced at $875 per unit. 

Invest In Your Future: A Breakdown of Your Master's Degree Costs

*Not all university semester fees are included in this table—see the comprehensive breakdown of Extended Learning fees. Semester tuition subtotals are based on a sample program sequence. All quoted tuition rates are based on previous academic years and are subject to change without notice.

Fall Semester

• OM 631: Sustainable Operations and Supply Chain Management (4)

  Teaches tools and techniques to tidy, transform, and visualize historical data for generating insights and further analyses. Introduces data transformation and wrangling to import, clean, and prepare data for visualization and modeling. Combines information visualization with business analytics to generate insight from data for better business decision-making. Teaches practical applications of developing interactive business reporting tools to support data-driven business and public administration decision-making. Subjects include data preparation, information visualization, dashboard design, and interactive and dynamic business reporting.

  Units: 4

• OM 620: Tools and Technogies for Analytics (2)

  Introduction to tools and technologies used in various data analysis and business analytics applications. Utilizes state-of-the-art analytical software for data analysis as a means to guide the implementation of a complete analytics life cycle, from data acquisition to creating insights from data. Also focuses on modern fundamental tools and technologies of data analysis, including collaboration tools to expedite and facilitate business analysis projects. Includes the essentials of business analytics development, introduces open-source analytical software for data analysis, data transformation, and data acquisition.

  Units: 2

• OM 621: Advanced Visual Analytics (4)

  Explores the potential of machine learning techniques in making data-driven decisions applicable across various industries and business fields. Leverages open-source software and real-world data to provide hands-on expertise in constructing models such as linear and logistic regression, discriminant analysis, naive Bayes, decision trees, and ensemble methods like random forest, bagging, and boosting. Focuses on automated feature selection, model regularization, and parameter optimization, aiming to develop essential skills for optimizing operations and delivering value in dynamic business landscapes.

  Units: 4

• OM 633: Enterprise Resource Planning and Supply Chain Technology (2)

  Explores how technology has enabled modern supply chain systems to function. Reviews the fundamental concepts and procedures in the planning systems, and provides practical experience working with Enterprise Resource Planning (ERP) systems in the areas related to supply chain management. Applies classroom learning to real-world problems through case studies and projects. Also introduces Material Requirements Planning (MRP), Manufacturing Resource Planning (MRP II), and ERP with hands-on cases from commercial providers such as SAP or Oracle Netsuite.

  Units: 2

Schedule is subject to change without advance notice.

Spring Semester

• OM 623: Specialized Applications of Predictive Analytics (4)

  Explores the potential of machine learning techniques in making data-driven decisions applicable across various industries and business fields. Leverages open-source software and real-world data to provide hands-on expertise in constructing models such as linear and logistic regression, discriminant analysis, naive Bayes, decision trees, and ensemble methods like random forest, bagging, and boosting. Focuses on automated feature selection, model regularization, and parameter optimization, aiming to develop essential skills for optimizing operations and delivering value in dynamic business landscapes.

  Units: 4

• OM 635: Strategic Total Cost Management (2)

  Delves into the principles, tools, and strategies used by successful organizations to control and optimize supply chain costs. Covers vital topics such as sourcing strategies, spend management, supplier relationship management, and supply chain risk mitigation. Through case studies and practical applications, students will develop the ability to create and implement supply chain cost management solutions that drive business success.

  Units: 2

• OM 637: Advanced Project Management (2)

  Teaches fundamental concepts of planning and executing operations and supply chain management projects. Introduces state-of-the-art methodologies leading to successful completion of supply chain projects. Applies project management tools and techniques to plan, analyze, execute, and manage projects. Utilizes authentic data sets and case studies to explore project management applications in supply chain analytics.

  Units: 2

• OM 638: Quality Management and Supply Chain Integration (4)

  Teaches total quality management through supply chain management. Covers quality management tools and techniques at the strategic, tactical, and operational decision levels of supply chain management. Focuses on quality design, control, and improvement. Covers quantitative tools such as design for quality, quality measurement, Taguchi loss function, statistical methods in quality control, and design of experiments. Explores the importance of quality with relation to customers and suppliers in the supply chain. Examines quality in processes. Develops quality in the workforce guidelines.

  Units: 4

Summer Semester

• OM 639: Facility Logistics Management and Analytics (4)

  Covers facility logistics management and analytics. Focuses on aspects of facilities in the supply chain at the design and operational levels. Covers intralogistics, network analysis, optimization in facility logistics, warehouse benchmarking, data mining, and warehouse management systems, layout analysis, material handling systems, inbound, put-away, picking, and outbound techniques.

  Units: 4

• OM 640: Supply Chain Analytics (4)

  Analyzes the analytical techniques and tools for optimization relevant to supply chain management and planning. Empowers students to formulate and solve prescriptive optimization models using linear, integer, and mixed integer programs. Illustrates the application of these models in supply chain contexts, including network design, aggregate planning, capacity allocation, production planning, and transportation. Emphasizes fundamental supply chain topics such as efficient consumer response, inventory management, postponement, assemble to order systems, vendor managed inventory, cross docking, and coordination of supply chain players.

  Units: 4

• OM 649: MSSCA Comprehensive Exam (1)

  Provides exam review and practice tests for the comprehensive exam for the Master of Science in Supply Chain Analytics. Focuses on the student’s proficiency across all coursework, integrating analytical methodologies with  operational principles. Ensures that graduates possess the knowledge and skills necessary for adept application within the supply chain field, and gauges their readiness for a seamless transition from academic study to industry application. Culminates with the Comprehensive Exam.

  Units: 1