Note: This is the 2019–2020 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program Requirements
The Diploma in Supply Chain and Operations Management offers students opportunities to specialize in areas such as quality management, lean manufacturing, service operations and project management. The program contents are included in the body of knowledge of a Green Belt and Project Management Institute.
Note: Corequisite courses are not included in the total credit requirement for the program.
Corequisite
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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 2019, Winter 2020, Summer 2020
Instructors: Golovina, Galina (Fall) Kelome, Djivede (Winter) Abdenbi, Brahim (Summer)
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 (30 credits)
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CGM2 510 Project Management: Tools and Techniques (3 credits)
Overview
Management : Focus on main concepts and theories of project management from initiation to close-out. Topics include: project life cycle, planning, scheduling, implementing, monitoring, controlling, close-out and ethics. The concepts presented apply to projects of various sizes, types and degrees of complexity.
Terms: Fall 2019, Winter 2020, Summer 2020
Instructors: Gauthier, Sylvain; Chasse, Andrew (Fall) Gauthier, Sylvain; Corbeil, Linda (Winter) Gauthier, Sylvain (Summer)
Restrictions: Open to students currently in a program. Not open to Special Students.
**Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the second lecture day and withdrawal is the fourth lecture day.
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CMS2 505 Quantitative Analysis Tools in Decision Making (3 credits)
Overview
Management Science (CCE) : This course provides applications-oriented operations research modeling tools, such as: linear programming, integer programming, network modeling, and queuing theory. Use of spreadsheet/modeling software is an integral part of this course.
Terms: Fall 2019
Instructors: Troy, Philip (Fall)
Corequisite: CMS2 500
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CMS2 515 Operations Management (3 credits)
Overview
Management Science (CCE) : Introduction to decisions and trade-offs associated with production of goods and services. Topics include technology planning (production process), design of production systems (capacity and location planning), control issues (production planning and inventory control, MRP/JIT, scheduling, quality and reliability and distribution planning), design for manufacturability, management of new technology (FMS, group technology and robotics) and management of services operations.
Terms: Fall 2019
Instructors: Brown, Grant (Fall)
Corequisite: CMS2 500
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CMS2 524 Management of Service Operations (3 credits)
Overview
Management Science (CCE) : The course takes an operations point of view to look at companies and industries in the services sector. It builds on conceptual frameworks and cases from a wide range of service operations, selected from health care, hospitality, internet services, transportation, retailing, financial services, humanitarian services, government services, and others.
Terms: Winter 2020
Instructors: Gradek, John (Winter)
Prerequisite: CMS2 515
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CMS2 525 Supply Chain Management (3 credits)
Overview
Management Science (CCE) : This is an applications-oriented course in supply chain strategy and macro-processes of supply chain management such as supplier relations management, customer relations management, logistics and distribution. Use of operations research models and computer software will be an integral part of this course.
Terms: Winter 2020
Instructors: Rassolov, Nicolai (Winter)
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CMS2 527 Business Intelligence and Analytics (3 credits)
Overview
Management Science (CCE) : This course provides a managerial and technical focus on computational and business techniques which can help to identify new business opportunities and transform an organization’s future by optimizing operational and strategic decision making.
Terms: Winter 2020
Instructors: Troy, Philip (Winter)
Prerequisite(s): CMS2 500
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CMS2 531 Re-Engineering and Integration of Business Systems (3 credits)
Overview
Management Science (CCE) : Information systems used in supply chains are presented in the context of enterprise resource planning (ERP) systems with applications in manufacturing, retailing and distribution services sectors. Core business processes and transactions pertaining to supply chain management are identified and discussed in terms of relevant ERP modules.
Terms: Fall 2019
Instructors: Spiller, Simone (Fall)
Prerequisite: CMS2 525
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CMS2 532 Lean Operations Systems (3 credits)
Overview
Management Science (CCE) : The course focuses on the objectives and ways of the Lean Operations System and provides descriptions of the customer-oriented lean techniques, such as, just-in-time, total quality management, problem solving, materials management and load leveling. Lean management patterns like the Deming's Plan Do Check Act wheel are highlighted.
Terms: Fall 2019
Instructors: Lythgoe, Diego (Fall)
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CMS2 540 Six-Sigma Quality Management (3 credits)
Overview
Management Science (CCE) : The course includes a coherent and integrated description of the Six-Sigma methodology, from the problem definition phase to the control phase that demonstrates the stability of the solution. In addition, the course clarifies the relation of Six-Sigma to LEAN and summarizes the patterns to deploy Six Sigma in an organization.
Terms: Winter 2020
Instructors: Therrien, Serge (Winter)
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CMS2 550 Supply Chain Field Project (3 credits)
Overview
Management Science (CCE) : This course is built around a team project involving modeling, use of lean/six sigma techniques and/or use of information systems to optimize processes across the entire enterprise/supply chain. The project could be in services (health care, banking/insurance, etc.), logistics (distribution, retailing, 3PL), or manufacturing (sourcing, production/operations planning, inventory deployment, etc).
Terms: Fall 2019
Instructors: Rassolov, Nicolai (Fall)
