Note: This is the 2018–2019 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Program Requirements
Operations Management is concerned with the design, planning, control, coordination, and improvement of business processes, systems, and resources integral to the creation of the firm's products and services. Emphasizing quantitative analysis and cross-functional thinking, the Operations Management concentration provides training on traditional as well as emerging operations strategies, concepts, models, and techniques that are essential to any firm in today's competitive marketplace. Operations management graduates find career opportunities in a variety of industries and fields including consulting, manufacturing, distribution, retail, transportation, health care, and public sector, among others.
Required Courses (6 credits)
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MGSC 373 Operations Research 1 (3 credits)
Overview
Management Science : A realistic experience of analytical models which have been successfully applied in several areas of managerial decision-making like marketing, finance and IS. Emphasis on the formulation of problems, their solution approaches, limitations, underlying assumptions and practical use. Topics include: decision analysis, project management, simulation, linear and integer programming, sensitivity analysis.
Terms: Fall 2018
Instructors: Smith, Brian E (Fall)
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MGSC 431 Operations and Supply Chain Analysis (3 credits)
Overview
Management Science : This course introduces students to operations concepts and techniques with application to supply chain management. A supply chain consists of all activities involved in fulfilling customer demand and the management decisions have a direct impact on a firm's performance, such as operating cost, market penetration and customer service. The course covers both classical tactics and evolving new strategies to reduce cost, increase responsiveness and maintain sustainable growth in a firm's supply chain.
Terms: Winter 2019
Instructors: Bilgic, Taner (Winter)
Prerequisite: MGCR 472.
Complementary Courses (9 credits)
Selected from the following:
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MGSC 372 Advanced Business Statistics (3 credits)
Overview
Management Science : A practical managerial approach to advanced simple and multiple regression analysis, with application in finance, economics and business, including a review of probability theory, an introduction to methods of least squares and maximum likelihood estimation, autoregressive forecasting models and analysis of variance.
Terms: Fall 2018, Winter 2019
Instructors: Smith, Brian E (Fall) Smith, Brian E (Winter)
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MGSC 402 Operations Strategy (3 credits)
Overview
Management Science : Effective management at the operating unit level, including the concept of "operations strategy", action-oriented tools and frameworks for designing and managing operations innovation, effective use of operations-related technologies and supply chain strategy.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Not open to U0 and U1 students
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MGSC 403 Introduction to Logistics Management (3 credits)
Overview
Management Science : Managing logistics systems, including transportation management, facility location, procurement, distribution management, and supply chain management.
Terms: Winter 2019
Instructors: Verter, Nafiz Vedat (Winter)
Prerequisite: MGCR 472.
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MGSC 405 Quality Management (3 credits)
Overview
Management Science : Integrated view of quality management, quality systems and improvement techniques including tools and methodologies for quality improvement, six-sigma methodology.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Not open to U0 and U1 students and other faculties.
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MGSC 415 Supplier Management (3 credits)
Overview
Management Science : Strategic role of purchasing, supplier selection, supplier relationship management, international sourcing, E-procurement, price determination, purchasing services, and auctions.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restriction: Not open to U0 and U1 students
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MGSC 479 Applied Optimization (3 credits)
Overview
Management Science : Applications of optimization models to management problems, including Linear Programming, Integer Programming and Nonlinear Programming.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Prerequisite: MGSC 373.
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MGSC 488 Sustainability and Operations (3 credits)
Overview
Management Science : Social and environmental impacts of an organization’s operations. Regulatory environments, eco-efficiency concepts and measurement systems. Lifecycle analysis and exploring impacts linked to: product design, sourcing, production, distribution, sales, and end-of-life recovery & treatment. Frameworks and best practices for reducing negative consequences and increasing positive ones.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
Restrictions: Open only to U2 and U3 students.
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MGSC 575 Applied Time Series Analysis Managerial Forecasting (3 credits)
Overview
Management Science : Management applications of time series analysis. Starting with ratio-to-moving average methods, the course deals successively with Census 2, exponential smoothing methods, the methodology introduced by Box and Jenkins, spectral analysis and time-series regression techniques. Computational aspects and applications of the methodology are emphasized.
Terms: This course is not scheduled for the 2018-2019 academic year.
Instructors: There are no professors associated with this course for the 2018-2019 academic year.
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MGSC 578 Simulation of Management Systems (3 credits)
Overview
Management Science : Building simulation models of management systems. Design of simulation experiments and the analysis and implementation of results. Students are expected to design a complete simulation of a real problem using a standard simulation language.
Terms: Winter 2019
Instructors: Ouellet, Alexandre; Jacques, Andre (Winter)
or approved courses in other areas or faculties.