Program Requirements
The 15-credit Graduate Certificate in Dynamic Supply Networks program introduces the competencies needed to succeed in a changing supply management landscape by addressing global shifts in sustainability, strategy, governance, manufacturing, procurement, and logistics. Topics include creating sustainable supply networks, procurement management, logistics and supply economics, contracting management, project management, and global distribution networks.
Co-Requisite Course (3 credits)
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CMS2 500 Mathematics for Management (3 credits) *
Overview
Management Science (CCE) : Basic mathematics needed for business applications, including graphs of functions, series summation, mathematics of finance, annuity, discounted cash flow, internal rate of return, permutations, combinations, maxima and minima of functions with business applications in optimization, introductory statistics and probability
Terms: Fall 2024, Winter 2025
Instructors: Kamali, Vahid (Fall) Kamali, Vahid (Winter)
Prerequisite: CMSC 000
Note: "Mathematics for Management" must be completed in the first semester of the Diploma in Management program.
* or the Exemption by Examination Test
Required Courses (9 credits)
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CSNM 605 Dynamic Supply Networks Transformation (3 credits)
Overview
CSNM : Evolution of the digital supply management landscape and the design and development of appropriate value benefits. Analysis of digital supply management transformation and drivers, including the impact of artificial intelligence, the metaverse, robotics, and climate change on the supply network.
Terms: Winter 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisites: CMS2 500
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CSNM 608 Dynamic Supply Networks
Sustainability
(3 credits)
Overview
CSNM : Analysis of the role of sustainability in supply management, with a focus on how environmental, social and governance (ESG) standards impact supply networks. Study of methodologies for creating sustainable supply management such as effective circularity practices, optimized carbon modelling techniques, effective diversity, equality and integration (DEI), and enhanced supplier relationships.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisites: CMS2 500
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CSNM 610 Principles of Dynamic Supply Networks (3 credits)
Overview
CSNM : Examination of the underlying principles of supply networks and the associated performance measures. An introduction to best practices in the design of dynamic supply networks, and an overview of current trends in supply networks technologies.
Terms: Fall 2024
Instructors: Kahyaoglu, Yasemin (Fall)
Prerequisites: CMS2 500
Complementary Courses
6 credits from:
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CCCS 640 Applied Decision Science (3 credits)
Overview
Computer Science (CCE) : Analysis of concepts, tools, and techniques provided by mathematical and computational sciences for decision making in its diverse formats. Examination of decision science techniques and their applicability.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Not open to students who have taken CMS2 505.
Course may be offered in person or online with synchronous and asynchronous activities.
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CSNM 612 Dynamic Supply Networks Sourcing and Purchasing
(3 credits)
Overview
CSNM : Overview of the supplier selection process and supplier segmentation. Enabling strategic sourcing and supplier relationship management. Identifying methods to qualify optimal vendors and sustain the best relationship with suppliers.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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CSNM 620 Dynamic Supply Networks Data
Analytics
(3 credits)
Overview
CSNM : Overview of predictive analytics using statistical models and forecasting, as well as prescriptive analytics using optimization and simulation, to improve shipment transparency, visibility, operational efficiency, and overall supply networks performance and resilience.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
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CSNM 632 Dynamic Supply Networks and Lean Operations
Systems
(3 credits)
Overview
CSNM : A comprehensive approach to creating robust supply networks using lean and agile techniques. Topics include redesigning factory measurements and dynamics, supply network variability, product-process portfolio matrices, push and pull production systems, capacity management in dynamic supply networks, and production execution technologies
Terms: Winter 2025
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Not open to students who have taken CMS2 532.
Or another 600-level course approved by the program adviser or academic unit.
