Program Requirements
(6972 credits)
The B.Com.; Major in Mathematics and Statistics for Management focuses on newer methodologies and strategies to solve current and modern realworld problems.
Program Prerequisites
Before entering the program, students must have completed the following courses [or their equivalent] if not already completed, above the program’s 6972 credits.
010 credits from:

MATH 133 Linear Algebra and Geometry (3 credits)
Overview
Mathematics & Statistics (Sci) : Systems of linear equations, matrices, inverses, determinants; geometric vectors in three dimensions, dot product, cross product, lines and planes; introduction to vector spaces, linear dependence and independence, bases. Linear transformations. Eigenvalues and diagonalization.
Terms: Fall 2024, Winter 2025
Instructors: Macdonald, Jeremy (Fall) Roth, Charles (Winter)
3 hours lecture, 1 hour tutorial
Prerequisite: a course in functions
Restriction(s): 1) Not open to students who have taken CEGEP objective 00UQ or equivalent. 2) Not open to students who have taken or are taking MATH 123, except by permission of the Department of Mathematics and Statistics.

MATH 140 Calculus 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : Review of functions and graphs. Limits, continuity, derivative. Differentiation of elementary functions. Antidifferentiation. Applications.
Terms: Fall 2024, Winter 2025
Instructors: Sabok, Marcin; Trudeau, Sidney (Fall)
3 hours lecture, 1 hour tutorial
Prerequisite: High School Calculus
Restriction(s): 1) Not open to students who have taken MATH139 or MATH 150 or CEGEP objective 00UN or equivalent. 2) Not open to students who have taken or are taking MATH 122, except by permission of the Department of Mathematics and Statistics.
Each Tutorial section is enrolment limited

MATH 141 Calculus 2 (4 credits)
Overview
Mathematics & Statistics (Sci) : The definite integral. Techniques of integration. Applications. Introduction to sequences and series.
Terms: Fall 2024, Winter 2025
Instructors: Trudeau, Sidney (Winter)
Restriction(s): Not open to students who have taken CEGEP objective 00UP or equivalent.
Restriction(s): Not open to students who have taken or are taking MATH 122,except by permission of the Department of Mathematics and Statistics.
Each Tutorial section is enrolment limited
Required Courses (60 credits)
Management Core

MGCR 211 Introduction to Financial Accounting (3 credits)
Overview
Management Core : The role of financial accounting in the reporting of the financial performance of a business. The principles, components and uses of financial accounting and reporting from a user's perspective, including the recording of accounting transactions and events, the examination of the elements of financial statements, the preparation of financial statements and the analysis of financial results.
Terms: Fall 2024, Winter 2025
Instructors: Zhang, Jingjing; Lee, Dongyoung (Fall) Roh, Yongoh (Winter)
Restriction: Not open to U0 students.

MGCR 222 Introduction to Organizational Behaviour (3 credits)
Overview
Management Core : Individual motivation and communication style; group dynamics as related to problem solving and decision making, leadership style, work structuring and the larger environment. Interdependence of individual, group and organization task and structure.
Terms: Fall 2024, Winter 2025
Instructors: Findlay, Sylvia Miriyam; Gordon, Sarah; OdyBrasier, Amandine (Fall) Mackey, Jeraul; Dakhlallah, Diana; Galperin, Roman (Winter)
Restriction: Not open to U0 students.

MGCR 250 Expressive Analysis for Management.
(3 credits)
Overview
Management Core : Focusing on skills with respect to analysis, writing and presentation in management.
Terms: Fall 2024, Winter 2025
Instructors: Holmgren, Lindsay (Fall) Holmgren, Lindsay (Winter)
Open to U0 and U1 B.Com. students. Not open to students who have taken BUSA 250.

MGCR 271 Business Statistics (3 credits)
Overview
Management Core : Statistical concepts and methodology, their application to managerial decisionmaking, reallife data, problemsolving 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 2024, Winter 2025
Instructors: Frieden, Gabriel; Glew, Rob (Fall) Farajollahzadeh, Setareh; Frieden, Gabriel; Glew, Rob (Winter)
Restriction: Not open to U0 students. Not open to students who have taken or are taking ECON 227D1/D2, ECON 257D1/D2, MATH 203 at McGill, MATH 204, MATH 324, PSYC 204; students with an exemption from High School or CEGEP for MATH 203 will NOT be exempt from MCGR 271.
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.

MGCR 293 Managerial Economics (3 credits)
Overview
Management Core : The course focuses on the application of economic theory to management problems and the economic foundations of marketing, finance, and production. Attention is given to the following topics: price and cost analysis; demand and supply analysis, conditions of competition.
Terms: Fall 2024, Winter 2025
Instructors: Sidthidet, Taweewan (Fall) Madan, Sujata (Winter)
Restriction: Not open to U0 students. Not open to students who have taken or are taking ECON 208, ECON 230D1/D2, or ECON 250D1/D2.

MGCR 294 The Firm in the
Macroeconomy (3 credits)
Overview
Management Core : Topics and tools of macroeconomics such as national accounting, the ISLM model, the drivers of output and business cycles, and the basics of monetary policy and inflation. Emphasis on financial markets, the role of expectations, and the reasons for possible deviations from full information market efficiency.
Terms: Fall 2024, Winter 2025
Instructors: Ghosh, Anisha; Augustin, Patrick (Winter)
Corequisites: MGCR 293
Restrictions: Not open to U0 students. Open only to B.Com. students. Not open to students who have taken or are taking ECON 295, ECON 209, ECON 330D1/D2 or ECON 352D1/D2.

MGCR 331 Information Technology Management
(3 credits)
Overview
Management Core : Introduction to principles and concepts of information systems in organizations. Topics include information technology, transaction processing systems, decision support systems, database and systems development. Students are required to have background preparation on basic micro computer skills including spreadsheet and wordprocessing.
Terms: Fall 2024, Winter 2025
Instructors: Tanguay, Sol; Goodman, Matthew (Fall) Tanguay, Sol (Winter)
Restriction: Not open to U0 students.

MGCR 341 Introduction to Finance (3 credits)
Overview
Management Core : An introduction to the principles, issues, and institutions of Finance. Topics include valuation, risk, capital investment, financial structure, cost of capital, working capital management, financial markets, and securities.
Terms: Fall 2024, Winter 2025
Instructors: di Pietro, Vadim (Fall) De Motta, Adolfo; di Pietro, Vadim (Winter)
Corequisite: MGCR 271 or equivalent
Restriction: Not open to U0 students.

MGCR 352 Principles of Marketing (3 credits)
Overview
Management Core : Introduction to marketing principles, focusing on problem solving and decision making. Topics include: the marketing concept; marketing strategies; buyer behaviour; Canadian demographics; internal and external constraints; product; promotion; distribution; price. Lectures, text material and case studies.
Terms: Fall 2024, Winter 2025
Instructors: Etemad, Hamid; Aronovitch, Aviva (Fall) Doré, Bruce; Zhao, Clarice (Winter)
Restrictions: Open to U1, U2, U3 students.

MGCR 372 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 2024, Winter 2025
Instructors: Ding, Yichuan Daniel; Cohen, Maxime (Fall) Bai, Bing; Hariss, Rim; Glew, Rob (Winter)

MGCR 382 International Business (3 credits)
Overview
Management Core : An introduction to the world of international business. Economic foundations of international trade and investment. The international trade, finance, and regulatory frameworks. Relations between international companies and nationstates, including costs and benefits of foreign investment and alternative controls and responses. Effects of local environmental characteristics on the operations of multinational enterprises.
Terms: Fall 2024, Winter 2025
Instructors: Melville, Donald; Zavosh, Ghahhar (Fall) Melville, Donald; Zavosh, Ghahhar (Winter)
Restriction: Not open to U0 students.

MGCR 423 Strategic Management (3 credits)
Overview
Management Core : An integrative and interdisciplinary introduction to strategy formation and execution. Concepts, tools, and practical application to understand how firms leverage resources and capabilities to gain competitive advantage in dynamic, contemporary industries. Strategic positioning, organizational design, and managerial action for the longterm success of businesses and positive social and ecological outcomes.
Terms: Fall 2024, Winter 2025
Instructors: Banerjee, Mitali; Zavosh, Ghahhar (Fall) David, Robert James; An, Kwangjun; Moore, Karl (Winter)
Restriction: Open to U2, U3 students only

MGCR 460 Social Context of Business.
(3 credits)
Overview
Management Core : Examination of how business interacts with the larger society. Exploration of the development of modern capitalist society, and the dilemmas that organizations face in acting in a socially responsible manner. Examination of these issues with reference to sustainable development, business ethics, globalization and developing countries, and political activity.
Terms: Fall 2024, Winter 2025
Instructors: Fangwa Nantcho, Anicet (Fall) Holmgren, Lindsay (Winter)
Restrictions: Open to U2 and U3 students. Not open to students who have taken MGCR 360.
Major

MATH 222 Calculus 3 (3 credits)
Overview
Mathematics & Statistics (Sci) : Taylor series, Taylor's theorem in one and several variables. Review of vector geometry. Partial differentiation, directional derivative. Extreme of functions of 2 or 3 variables. Parametric curves and arc length. Polar and spherical coordinates. Multiple integrals.
Terms: Fall 2024, Winter 2025
Instructors: Pym, Brent (Fall)

MATH 223 Linear Algebra (3 credits)
Overview
Mathematics & Statistics (Sci) : Review of matrix algebra, determinants and systems of linear equations. Vector spaces, linear operators and their matrix representations, orthogonality. Eigenvalues and eigenvectors, diagonalization of Hermitian matrices. Applications.
Terms: Fall 2024, Winter 2025
Instructors: Macdonald, Jeremy (Winter)

MATH 242 Analysis 1 (3 credits)
Overview
Mathematics & Statistics (Sci) : A rigorous presentation of sequences and of real numbers and basic properties of continuous and differentiable functions on the real line.
Terms: Fall 2024
Instructors: Jakobson, Dmitry (Fall)

MATH 243 Analysis 2 (3 credits)
Overview
Mathematics & Statistics (Sci) : Definition and properties of Riemann integral, Fundamental Theorem of Calculus, Taylor's theorem. Infinite series: alternating, telescoping series, rearrangements, conditional and absolute convergence, convergence tests. Power series and Taylor series. Elementary functions. Introduction to metric spaces.
Terms: Winter 2025
Instructors: Hundemer, Axel W (Winter)

MATH 323 Probability (3 credits)
Overview
Mathematics & Statistics (Sci) : Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.
Terms: Fall 2024, Winter 2025
Instructors: Sajjad, Alia (Fall) Nadarajah, Tharshanna (Winter)

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 2024, Winter 2025
Instructors: Frieden, Gabriel (Fall) Frieden, Gabriel (Winter)
Prerequisite: MGCR 271

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 decisionmaking 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: Winter 2025
Instructors: Glew, Rob (Winter)
Prerequisite: MGCR 271
*Or equivalent.
Complementary Courses (912 credits)
912 credits selected from the following:

COMP 202 Foundations of Programming (3 credits)
Overview
Computer Science (Sci) : Introduction to computer programming in a high level language: variables, expressions, primitive types, methods, conditionals, loops. Introduction to algorithms, data structures (arrays, strings), modular software design, libraries, file input/output, debugging, exception handling. Selected topics.
Terms: Fall 2024, Winter 2025
Instructors: M'hiri, Faten (Fall) M'hiri, Faten (Winter)
3 hours
Prerequisite: a CEGEP level mathematics course
Restrictions: Not open to students who have taken or are taking COMP 204, COMP 208, or GEOG 333; not open to students who have taken or are taking COMP 206 or COMP 250.
COMP 202 is intended as a general introductory course, while COMP 204 is intended for students in life sciences, and COMP 208 is intended for students in physical sciences and engineering.

COMP 551 Applied Machine Learning (4 credits)
Overview
Computer Science (Sci) : Selected topics in machine learning and data mining, including clustering, neural networks, support vector machines, decision trees. Methods include feature selection and dimensionality reduction, error estimation and empirical validation, algorithm design and parallelization, and handling of large data sets. Emphasis on good methods and practices for deployment of real systems.
Terms: Fall 2024, Winter 2025
Instructors: PrémontSchwarz, Isabeau; Rabbany, Reihaneh (Fall) Li, Yue (Winter)

FINE 452 Applied Quantitative Finance (3 credits)
Overview
Finance : The course is built around a series of practical applications (backtesting trading strategies, yield curve modelling, derivatives hedging) and consists of lab sessions where lectures are mixed with time and support for solving the tasks in Matlab. No programming experience is required, but a willingness to learn is.
Terms: Fall 2024
Instructors: Ericsson, Jan Edvard (Fall)

FINE 460 Financial Analytics (3 credits)
Overview
Finance : An extensive study of the empirical methods casually used in the different subfields of finance. Examination of the most popular statistics models used in finance, both from a theoretical and practical point of view. An important emphasis will be put on the distinction between models of financial mechanisms, and those motivated purely by efficacy.
Terms: This course is not scheduled for the 20242025 academic year.
Instructors: There are no professors associated with this course for the 20242025 academic year.
Prerequisites: MGCR 341

MATH 208 Introduction to Statistical Computing (3 credits)
Overview
Mathematics & Statistics (Sci) : Basic data management. Data visualization. Exploratory data analysis and descriptive statistics. Writing functions. Simulation and parallel computing. Communication data and documenting code for reproducible research.
Terms: Fall 2024
Instructors: Lee, Kiwon (Fall)
Prerequisite(s): MATH 133

MATH 308 Fundamentals of Statistical Learning (3 credits)
Overview
Mathematics & Statistics (Sci) : Theory and application of various techniques for the exploration and analysis of multivariate data: principal component analysis, correspondence analysis, and other visualization and dimensionality reduction techniques; supervised and unsupervised learning; linear discriminant analysis, and clustering techniques. Data applications using appropriate software.
Terms: Winter 2025
Instructors: Yang, Archer Yi (Winter)

MATH 314 Advanced Calculus (3 credits)
Overview
Mathematics & Statistics (Sci) : Derivative as a matrix. Chain rule. Implicit functions. Constrained maxima and minima. Jacobians. Multiple integration. Line and surface integrals. Theorems of Green, Stokes and Gauss. Fourier series with applications.
Terms: Fall 2024, Winter 2025
Instructors: There are no professors associated with this course for the 20242025 academic year.

MATH 315 Ordinary Differential Equations (3 credits)
Overview
Mathematics & Statistics (Sci) : First order ordinary differential equations including elementary numerical methods. Linear differential equations. Laplace transforms. Series solutions.
Terms: Fall 2024, Winter 2025
Instructors: Paquette, Courtney (Fall) Kamran, Niky (Winter)

MATH 324 Statistics (3 credits) *
Overview
Mathematics & Statistics (Sci) : Sampling distributions, point and interval estimation, hypothesis testing, analysis of variance, contingency tables, nonparametric inference, regression, Bayesian inference.
Terms: Fall 2024, Winter 2025
Instructors: Nadarajah, Tharshanna (Fall) Asgharian, Masoud (Winter)
Fall and Winter
Prerequisite: MATH 323 or equivalent
Restriction: Not open to students who have taken or are taking MATH 357
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.

MATH 423 Applied Regression (3 credits)
Overview
Mathematics & Statistics (Sci) : Multiple regression estimators and their properties. Hypothesis tests and confidence intervals. Analysis of variance. Prediction and prediction intervals. Model diagnostics. Model selection. Introduction to weighted least squares. Basic contingency table analysis. Introduction to logistic and Poisson regression. Applications to experimental and observational data.
Terms: Fall 2024
Instructors: Steele, Russell (Fall)

MATH 427 Statistical Quality Control (3 credits)
Overview
Mathematics & Statistics (Sci) : Introduction to quality management; variability and productivity. Quality measurement: capability analysis, gauge capability studies. Process control: control charts for variables and attributes. Process improvement: factorial designs, fractional replications, response surface methodology, Taguchi methods. Acceptance sampling: operating characteristic curves; single, multiple and sequential acceptance sampling plans for variables and attributes.
Terms: This course is not scheduled for the 20242025 academic year.
Instructors: There are no professors associated with this course for the 20242025 academic year.

MATH 447 Introduction to Stochastic Processes (3 credits)
Overview
Mathematics & Statistics (Sci) : Conditional probability and conditional expectation, generating functions. Branching processes and random walk. Markov chains, transition matrices, classification of states, ergodic theorem, examples. Birth and death processes, queueing theory.
Terms: Winter 2025
Instructors: Paquette, Elliot (Winter)

MATH 523 Generalized Linear Models (4 credits)
Overview
Mathematics & Statistics (Sci) : Exponential families, link functions. Inference and parameter estimation for generalized linear models; model selection using analysis of deviance. Residuals. Contingency table analysis, logistic regression, multinomial regression, Poisson regression, loglinear models. Multinomial models. Overdispersion and Quasilikelihood. Applications to experimental and observational data.
Terms: Winter 2025
Instructors: Steele, Russell (Winter)

MATH 524 Nonparametric Statistics (4 credits)
Overview
Mathematics & Statistics (Sci) : Distribution free procedures for 2sample problem: Wilcoxon rank sum, SiegelTukey, Smirnov tests. Shift model: power and estimation. Single sample procedures: Sign, Wilcoxon signed rank tests. Nonparametric ANOVA: KruskalWallis, Friedman tests. Association: Spearman's rank correlation, Kendall's tau. Goodness of fit: Pearson's chisquare, likelihood ratio, KolmogorovSmirnov tests. Statistical software packages used.
Terms: Fall 2024
Instructors: Genest, Christian (Fall)

MATH 545 Introduction to Time Series Analysis (4 credits)
Overview
Mathematics & Statistics (Sci) : Stationary processes; estimation and forecasting of ARMA models; nonstationary and seasonal models; statespace models; financial time series models; multivariate time series models; introduction to spectral analysis; long memory models.
Terms: Winter 2025
Instructors: Stephens, David (Winter)

MATH 559 Bayesian Theory and Methods (4 credits)
Overview
Mathematics & Statistics (Sci) : Subjective probability, Bayesian statistical inference and decision making, de Finetti’s representation. Bayesian parametric methods, optimal decisions, conjugate models, methods of prior specification and elicitation, approximation methods. Hierarchical models. Computational approaches to inference, Markov chain Monte Carlo methods, Metropolis—Hastings. Nonparametric Bayesian inference.
Terms: This course is not scheduled for the 20242025 academic year.
Instructors: There are no professors associated with this course for the 20242025 academic year.
 MGSC 403 Introduction to Logistics Management (3 credits)

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 2025
Instructors: Bai, Bing (Winter)

MGSC 434 Topics in Operations Management (3 credits) **
Overview
Management Science : Selected topics in operations management.
Terms: This course is not scheduled for the 20242025 academic year.
Instructors: There are no professors associated with this course for the 20242025 academic year.
Prerequisite: MGCR 271
Restrictions: Open to U2, U3 students.
* Students interested in upperlevel statistics courses offered by the Department of Mathematics and Statistics are strongly encouraged to take this course.
Students must consult the rules for credits and sequencing for Statistics courses in the Desautels Faculty of Management Course Overlap section.
** MGSC 434 when the topic is relevant to this program and approved by the Mathematics program adviser.