Supply Chain Management MSCM
- High academic standing in one of the following degrees: bachelor's degree in Commerce (or equivalent) with a major in any business discipline; bachelor's degree in any of the engineering disciplines; bachelor's degree in Economics / Mathematics / Applied Sciences.
- B average in the final two years of their undergraduate studies and have obtained a Grade Point Average (GPA) of at least 3.00 on a 4.30 scale, or the equivalent, from an accredited university.
- Applicants must submit proof of satisfactory performance on the Graduate Management Admission Test (GMAT) or the Graduate Record Examination (GRE) completed within the previous five years, two letters of recommendation with the Academic Assessment forms and a short statement of purpose. (Please note that the GMAT is preferred to the GRE).
Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the Graduate Admission page for further information on the Language Proficiency requirements and exemptions.
Concordia Comprehensive ESL Placement Test (ConCEPT). Applicants who have been admitted by a program and whose test results fall within the range requiring a language placement test are required to write the Concordia Comprehensive ESL Placement Test (ConCEPT).
The program is open to both full-time and part-time students.
Fully-qualified candidates are required to complete a minimum of 45 credits.
6 credits – Core Seminars
MSCA 602 - Applied Linear Statistical Models (3 credits)
MSCA 615 - Research Methodology - Administrative Sciences (3 credits)
15 credits – Supply Chain Management Seminars
MSCM 681 - Advanced Modelling and Optimization (3 credits)
MSCM 682 - Sourcing and Global Logistics (3 credits)
MSCM 683 - Supply Chain Design and Coordination (3 credits)
MSCM 684 - Demand Management (3 credits)
MSCM 685 - Supply Chain Risk Management (3 credits)
9 credits – Elective Seminars
Taking an elective seminar is subject to the academic advisor’s approval. Each year a selection of specialized seminars are offered on a rotating basis from those listed below.
MSCA 625 - Seminar in Options and Futures (3 credits)
MSCA 632 - Seminar in Special Topics in Finance (3 credits)
MSCA 645 - Seminar in Organizational Theory and Design (3 credits)
MSCA 647 - Seminar in Strategic Management in Global Context (3 credits)
MSCA 652 - Seminar in Special Topics in Management (3 credits)
MSCA 668 - Seminar in Innovation and Marketing (3 credits)
MSCA 672 - Seminar in Special Topics in Marketing (3 credits)
At most one elective seminar at the graduate level can be taken outside of JMSB.
15 credits – Applied Research Project
MSCM 689 - Applied Research Project (15 credits)
Residence. In accordance with standard university policy, the minimum residence requirement for this master’s degree is three terms of full-time study, or the equivalent in part-time study. This requirement must be met regardless of the amount of graduate work previously completed in any other program or at any other university.
Up to three qualifying program courses are taken by those students who do not have a Supply Chain Management or Industrial Engineering degree. These courses are specified at the time of admission by the Admissions Committee, based on the academic background of the student. The qualifying program courses need to be successfully completed prior to starting the regular master program.
- Credit Load: Full-time Students. The normal course load for full-time students is 12 credits in each of the terms in the first year; 6 credits and the 15-credit applied research project in the second year.
- Credit Load: Part-time Students. The maximum course load for part-time students is 12 credits per calendar year. The 15-credit applied research project should take 6 to 12 months to complete.
- Course Reduction. In exceptional circumstances, students may be granted permission to reduce their course load below the normal specified above while remaining in good standing.
- Program and Course Withdrawal. Students who wish to apply for withdrawal from the program must do so in writing at the office of the Associate Dean, Research and Research Programs. Students may drop a course up to the end of the course change period. This is normally about two weeks after classes begin (see Academic Calendar). In addition to the regulations which appear in the Graduate Registration section of the Graduate Calendar, students enrolled in the program are required to observe the following rules.
- Academic Standing. Please refer to the Academic Standing section of the Calendar for a detailed review of the Academic Regulations.
- Time Limit. Please refer to the Academic Regulation page for further details regarding the Time Limit requirements.
- Graduation Requirement. In order to graduate, students must have a minimum cumulative GPA of 2.70.
MSCA 602 Applied Linear Statistical Models
The course focuses on systematic treatments of linear statistical models for regression, analysis of variance and experimental design with special emphasis on applications in business and economics. Topics include regression analysis: inference, model building, diagnostics, remedial measures and validation; single-factor and two-factor ANOVA models, and analysis of covariance. Other statistical tools for specialized applications discussed may include logistic regression, path analysis and time series regression. Case studies are employed to illustrate tools for fitting, checking, validating and interpreting linear models.
MSCA 615 Research Methodology - Administrative Sciences
This seminar provides a basic understanding of the research process and a knowledge of the methods used in the design and execution of scientific research relevant to social sciences, and specifically the business context. The seminar helps students to develop skills needed to assess the feasibility and potential contribution of proposed studies, and to critically evaluate research reported by others. The application of relevant research methods are reviewed through discussions of exemplary articles published in leading journals. Cornerstone topics in this seminar include: theory construction, measurement, overview of data collection methods, reliability, as well as internal and external validity issues.
Note: Students who have taken MSCA 612, MSCA 613 or MSCA 614 may not take this seminar for credit.
Supply Chain Management Seminars
MSCM 681 Advanced Modelling and Optimization
This seminar emphasizes the theoretical and practical aspects of advanced optimization modelling techniques in supply chain planning. Among the topics covered are network optimization, non-linear programming, stochastic programming, Markov processes and application of duality in developing decomposition-based solution approaches for large linear and integer models. Use of commercial modelling platform and optimization software are an integral part of this seminar.
MSCM 682 Sourcing and Global Logistics
This seminar covers the practices, techniques and regulations associated with sourcing and movement of materials in the global supply chains. Among the topics covered on sourcing are impact of globalization on sourcing, supplier evaluation and selection, supplier performance management, purchasing, electronic procurement, negotiations, contract law, supplier relationship management. Issues in global logistics are discussed in the second half of the seminar. Among the topics covered are distribution channels, warehousing, transportation management, reverse logistics, green logistics and sustainability, and cross-border issues in logistics. The coverage is supplemented by case studies and research articles.
MSCM 683 Supply Chain Design and Coordination
Prerequisite: MSCM 681 or equivalent.
This seminar focuses on managerial and modelling issues in supply chain design and coordination along the supply chain. Models in facility location, distribution networks and global supply chain networks are studied. The strategic aspects of supply chain design are discussed in terms of competitive drivers. The second part of the seminar deals with coordination issues. Among the concepts and models covered in this respect are supply chain contracts, collaborative planning, forecasting and replenishment, bullwhip effect, postponement, and vendor managed inventory. Articles, case studies, optimization software and simulation game are used as part of seminar delivery.
MSCM 684 Demand Management
The seminar presents advanced forecasting tools that assist market analysis, revenue management tools that optimize operational performance and approaches in building flexibilities to enhance manufacturing and organizational capabilities. Among the topics covered are advanced forecasting models, judgmental forecasting and adjustment, customer relationship management, consumer choice models, dynamic pricing, capacity control, network revenue management, manufacturing and organizational flexibilities. The seminar content is delivered via a combination of lectures, case analyses and research articles.
MSCM 685 Supply Chain Risk Management
Prerequisite: MSCM 681 or equivalent.
Strategies for managing the various risks along the supply chain are studied. Quantitative and qualitative approaches used in analyzing such risks and scenarios are covered. The seminar discusses risk identification and management, trade-offs in risk management, strategies for robustness, scenario planning, financial risks and disruption planning. The approaches used for modelling and analyzing the supply chain risks are presented through lectures, case analyses and research articles.
MSCM 689 Applied Research Project
Prerequisite: at least nine credits of MSCM seminars.
Supervised (co-supervised) by a faculty member(s), the applied research project is carried out individually or by a group of two students, depending on the overall requirements and the extent of the project to be conducted. The project involves working on a real-life supply chain management problem provided by a company. Once the problem is defined, the students prepare an overall project management plan to tackle the problem within a given time limit. The various stages of the project involve, among others: literature review, defining data and information requirements for problem analysis, gathering data, designing the appropriate model, conducting experimental design runs and sensitivity analyses, and presenting the solution(s) with an implementation plan. The project outcome is expected to have both academic and business merit. For projects done in groups of two students, there is a significant individual evaluation component in assessing the work done by each student.