Master of Supply Chain Management (MSCM)
Program structure
John Molson’s research-based Masters allow students to produce the kind of research that is becoming increasingly necessary in public and private organizations or that leads toward advanced graduate business studies. Experiential opportunities are also available to adequately prepare our Master’s candidates for the job market.
Program structure
This Master of Supply Chain Management is a 45-credit applied research program consisting of both course work (seminars) and a thesis. Full-time students take three or four courses per term and complete the program in two years, while part-time students take one or two courses per term and can complete it in three to four years. International students must pursue studies on a full-time basis. Most course work is completed in the first half of the program, while the thesis is completed in the second half.
Canadian citizens and Permanent residents who wish to study part-time should understand that:
- some classes may only be offered in the Fall or Winter terms. There are no courses offered during the summer. and;
- some classes may only be offered in the morning or afternoon. Students who wish to work while studying should reach an arrangement with their employer about the potential need for a flexible work schedule.
Year 1
Fall
- MSCA 602: Applied Linear Statistical Models (3 credits)
- MSCA 681: Foundations of Data Mining (3 credits)
Two specialized seminars (6 credits) – see list below*
Winter
Four specialized seminars (12 credits) – see list below*
Summer
*List of specialized seminars
- MSCM 681: Modelling and Decision Analytics (3 credits)
- MSCM 682: Sourcing and Global Logistics (3 credits)
- MSCM 683: Supply Chain Design and Coordination (3 credits)
- MSCM 684: Demand Analytics (3 credits)
- MSCM 685: Supply Chain Risk Management (3 credits)
Elective Seminars:
- MSCA 615: Research Methodology - Administrative Sciences (3 credits)
- MSCA 616: Research Methodology - Management (3 credits)
- MSCA 618: Research Methods (3 credits)
- MSCA 625: Seminar in Options and Futures (3 credits)
- MSCA 632: Seminar in Special Topics in Finance (3 credits)
- MSCA 652: Seminar in Special Topics in Management (3 credits)
- MSCA 657: Organizations and Strategy (3 credits)
- MSCA 672: Seminar in Special Topics in Marketing (3 credits)
- MSCA 683: Applied Multivariate Data Analysis (3 credits)
- MSCA 686: Competitive Advantage through Information Technology (3 credits)
- MSCM 687: Data Driven Decision Models for Supply Chain Planning (3.00)
- MSCM 688: Special Topics in Supply Chain Management (3 credits)
- MSCA 691: Advanced Data Mining (3 credits)
- MSCA 693: Seminar in Special Topics in Business Analytics and Technology Management (BATM) (3 credits)
Please note that all course listing on this page is subject to change and that the content of the seminars may vary from a year to another. Current students should consult the graduate calendar or refer to their program team at msc.jmsb@concordia.ca for the most updated information.
Year 2
Fall
Thesis proposal and data collection
- MSCA 699: Research Thesis (21 credits)
Winter
Thesis work
- MSCA 699: Research Thesis (continued)
Summer
Thesis defence
Please note that a French translation of the curriculum is available upon request at gradadvisor.jmsb@concordia.ca.
Recent thesis topics
- Blockchain and Sustainability in Digital Goods: A Case Study Approach Using the 7R Framework
- Developing a Framework for Supplier Evaluation and Development: Implementation in a Manufacturing Company
- Robust Optimization for an Olive Oil Producer’s Operations
- Reengineering MSCI’s ESG Ratings Methodology
- Exploring Country-Level Factors Impacting Food Loss in the Global Food Supply Chain
- Optimization Model for Production-Distribution Planning in the Cosmetic Industry: The Case of Cosmetics Company Canada
- Optimizing Multi-Item Lot-Sizing Problem: A Study on Aggregate Service Levels, Piecewise Linear Approximations, and Fix-and-Optimize Heuristics
- A Multi-Period Supply Planning Problem for Managing Stochastic Demand
- Workforce Planning for SMEs under Stochastic Labour Turnover
- A Data-Driven Approach for Capacity Planning and Enhancing Courier Efficiency for an Online Food Delivery Business
- Optimizing Supply Chain Sourcing Strategies: Applying Machine Learning to Predict Aluminum Prices Throughout Time Horizon Models for Price- Sensitive Manufacturers
- Determination of Factors Used to Influence Purchasing Price: Enhancing Profitability and Competitive Edge in Discount Retail Chains
- Enhancing Consumer Access to Warehouse Clubs Amidst the Retail Food Access Divide: Assessing the Impact of On-Premises and E-commerce Services
- Shopping Centre Operations Amid the Digital Divide: The Role of Anchor Stores
- Structural Inequality in Workload Allocation among Gig Drivers: Residency Status, Language Proficiency, and Human Capital in Quebec’s Last-Mile E-commerce Delivery Sector