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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)

• MGSC 373 Operations Research 1 (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  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 2023

  Instructors: Sereshti, Narges (Fall)

  • Prerequisite: MGCR 271

• MGSC 431 Operations and Supply Chain Analysis (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  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: Fall 2023

  Instructors: Talla, Malleswara (Fall)

  • Prerequisite: MGCR 472 or MGCR 372

Complementary Courses (9 credits)

9 credits from the following:

• MGSC 372 Advanced Business Statistics (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  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 2023, Winter 2024

  Instructors: Frieden, Gabriel (Fall) Frieden, Gabriel (Winter)

  • Prerequisite: MGCR 271 or equivalent.

  • Restriction(s): Not open to students who have taken or are taking ECON 257D1/D2, MATH 324, MATH 423, MATH 357 or equivalent.

  • 1. You may not be able to receive credit for this course and other statistics courses. Be sure to check the Course Overlap section of the Desautels Faculty of Management in the eCalendar.

• MGSC 403 Introduction to Logistics Management (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Science : Managing logistics systems, including transportation management, facility location, procurement, distribution management, and supply chain management.

  Terms: Winter 2024

  Instructors: Gopalakrishnan, Sanjith (Winter)

  • Prerequisite: MGCR 472 or MGCR 372

• MGSC 404 Foundations of Decision Analytics (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Science : This course teaches quantitative methods used in business decision making. Topics include: optimization models, decision trees, simulation, and computer simulation. Business applications of these techniques are emphasized. Students in this course will acquire expertise in computer based methods for decision making, through computer analysis of real-life problems.

  Terms: Winter 2024

  Instructors: Farajollahzadeh, Setareh (Winter)

  • Restrictions: Open to U2 and U3 students.

• MGSC 416 Data-Driven Models for Operations Analytics (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Science : Examination of how data-driven models have been used to transform businesses and industries, using examples and case studies in e-commerce, retail, social and online networks, sports analytics, and online advertising. Demonstration of the use of data-driven analytics methods such as time series forecasting, network models, mixed-integer optimization, matching markets and exploration/exploitation.

  Terms: Winter 2024

  Instructors: Hariss, Rim (Winter)

  • Prerequisites: MGCR 271, INSY 336 or permission of instructor and approval of the BCom Program Office

  • Restriction: Not open to students who have taken MGSC 434 when the topic was "Data-Driven Models for Operations Analytics"

• MGSC 434 Topics in Operations Management (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  Overview

  Management Science : Selected topics in operations management.

  Terms: Fall 2023

  Instructors: Glew, Rob (Fall)

  • Prerequisite: MGCR 271

  • Restrictions: Open to U2, U3 students.

• MGSC 488 Sustainability and Operations (3 credits)

  Offered by: Management (Desautels Faculty of Management)

  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: Winter 2024

  Instructors: Gopalakrishnan, Sanjith (Winter)

  • Restrictions: Open only to U2 and U3 students.

or approved courses in other areas or faculties.