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Program Requirements
The Minor Operations Management consists of 18 credits of Management courses and is currently offered to non-Management students in the Faculties of Arts, Engineering, Science, and Agricultural & Environmental Sciences.
It provides non-Management students with the opportunity to pursue a career that involves decision making at the operational level. Graduates will be able to find employment in consulting, manufacturing, supply chain, distribution, retail operations, healthcare management and environmental management for profit and non-profit corporations. This Minor has been designed to provide students with an understanding of the key concepts in operations management theory and practice.
Required Courses (6 credits)
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MGCR 472 Operations Management (3 credits)
Overview
Management Core : Design, planning, establishment, control, and improvement of the activities/processes that create a firm's final products and/or services. The interaction of operations with other business areas will also be discussed. Topics include forecasting, product and process design, waiting lines, capacity planning, inventory management and total quality management.
Terms: Fall 2019, Winter 2020, Summer 2020
Instructors: Li, Shanling; Talla, Malleswara (Fall) Ding, Yichuan (Daniel); Hariss, Rim; Cohen, Maxime (Winter) Jalali, Zahra; Ding, Yichuan (Daniel) (Summer)
Prerequisite: MGCR 271 or equivalent
Requirement for the Canadian Institute of Management
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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 2019
Instructors: Smith, Brian E (Fall)
Complementary Courses (12 credits)
3 credits
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MGCR 271 Business Statistics (3 credits) *
Overview
Management Core : Statistical concepts and methodology, their application to managerial decision-making, real-life data, problem-solving and spreadsheet modeling. Topics include: descriptive statistics; normal distributions, sampling distributions and estimation, hypothesis testing for one and two populations, goodness of fit, analysis of variance, simple and multiple regression.
Terms: Fall 2019, Winter 2020, Summer 2020
Instructors: Georghiou, Angelos; Qi, Wei; Nasiry, Javad; Lima, Eduardo (Fall) Lima, Eduardo (Winter) E, Fan (Summer)
Prerequisite: MATH 122 and 123 or equivalent
Restriction: Not open to students who have taken or are taking MATH 204, MATH 324, PSYC 204, ECON 227, ECON 257
You may not be able to receive credit for this course and other statistic courses. Be sure to check the Course Overlap section under Faculty Degree Requirements in the Arts or Science section of the Calendar.
9 credits selected from:
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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 2019, Winter 2020, Summer 2020
Instructors: Smith, Brian E (Fall) Talla, Malleswara (Winter) Smith, Brian E (Summer)
Prerequisite: MGCR 271
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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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 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: This course is not scheduled for the 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
Restriction: Not open to U0 and U1 students
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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: Fall 2019
Instructors: Talla, Malleswara (Fall)
Prerequisite: MGCR 472.
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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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 academic year.
Prerequisite: MGSC 373.
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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 2019-2020 academic year.
Instructors: There are no professors associated with this course for the 2019-2020 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 2020
Instructors: Talla, Malleswara (Winter)
or other appropriate 300- or 400-level MGSC courses with the approval of the Program Adviser.
* 3 credits of Statistics: Students who have taken an equivalent Statistics course in another faculty may not count those credits toward the Minor; an additional 3-credit complementary course must be chosen from the course list above.
Note: Students should select their Statistics course only after consulting the "Course Overlap" section in the Faculty of Arts, the "Course Overlap" section in the Faculty of Science, and the "Course Overlap" section in the Desautels Faculty of Management to avoid overlapping Statistics courses.
