The program consists of two core courses (6 credits), four specialization courses (12 credits), and a major applied research paper/ applied research internship (a pass/fail milestone) for a total of 18 credits. A larger number of electives offered for some specializations reflect current sizes of corresponding areas at SAS. We expect that the hiring of new full-time faculty for the Markham Centre Campus will restore the balance.
The core module is comprised of two courses.
This course prepares our students with the core knowledge and skills for designing quantitative, academic and applied, research in business and management, including understanding of data analysis and applications of statistical concepts and methods.
Students will gain an understanding of the fundamentals of research design including consideration of the trade-offs among various strategies. Students will develop their critical skills in evaluating the quality of qualitative research and appreciating the role of the reader in interpreting, translating and applying qualitative research.
The four specialization courses will concentrate on applied research methods, data management and analysis, and managerial applications in 5 management disciplines: accounting, marketing, entrepreneurship and innovation, management of professionals, and supply chain management. One of the courses in each of the five specializations will incorporate at least 1.5 credits in analytics. Out of four specialized courses, three should be from the selected specialization and the fourth can be from any specialization including the selected one.
The third mandatory component of the MScMP is the major research paper. After completing the core courses and either concurrent or after completing the focus courses, students can work and complete the major research paper. The major research paper will be supervised by a professor and can be based on either publicly available data or proprietary corporate data. This latter type of research can include an agreement with an organization to have the student perform the research in house as an internship. This option would be very attractive to students that are doing the program on a part time basis because it would allow them to apply the knowledge acquired in the program to solve problems of their organization.
The following specialized courses are available for each specialization (12 credits required):
Students will gain an understanding of the fundamentals of research in Management Accounting including consideration of the trade-offs between planning and control. Students will develop their critical skills in evaluating the mechanisms used to plan and control activities performed in organizations.
Students will gain an understanding of the fundamentals of analytics as they are used and applied to the broad accounting and finance function of organizations. Students will work with visualization software to develop their critical criteria on how data is most effectively presented.
The course focus is on the role of the professional internal or government auditor performing a variety of assurance engagements in a “big data” universe. The types of engagements explored in the course include: performance audits, compliance audits, operational audits, fraud, and IT systems audits. The objective of the course is to develop the technical knowledge with an emphasis of use of data tools and data analysis and practical knowledge necessary to be a competent professional auditor.
This course provides a basis for the theoretical analysis of many fundamental problems and contemporary issues in the area of financial accounting and reporting. The readings, research paper assignments/presentations, and a term project that requires the submission of an empirical research proposal provide an appreciation for the development of theories and empirical research in the area of financial accounting and reporting.
Students will gain an understanding of the fundamentals of performance management including consideration of the trade-offs between planning and control. Students will develop their critical skills in evaluating the usage of business intelligence systems linked to enterprise data warehousing when designing mechanisms to manage performance.
The course focus is on the role of the professional auditor in public practice and performing the financial statement audit assurance and non-assurance engagements in a “big data” universe. The emphasis of the course will be the financial statement audit, with some consideration of other engagements commonly performed by public accountants. The objective of the course is to develop the technical knowledge, with an emphasis of use of a variety of data tools and data analysis, and the practical knowledge necessary to be a competent professional auditor.
Entrepreneurship and Innovation (future option, not offered in 2021)
This course provides an overall framework for understanding entrepreneurs and entrepreneurship. It delves into the entrepreneurial mindset and draws on insights from both theory and practice while exploring the entrepreneurial process from ideation through to the creation of new ventures.
Design thinking is a human-centric, interdisciplinary approach that helps organizations to change and innovate. This course introduces principles, methodologies and practices of design thinking that aim to help students to appreciate how human and environmental factors can significantly affect effectiveness of creative and innovative designs.
Innovation plays an important role in the competitive landscape. The challenge of managing innovation is immense. This course examines various challenges and opportunities associated with innovation faced with both new ventures and corporations.
This course extends the discussion from GS/MSMG6210 (Entrepreneurship in Theory and Practice) and considers functional area practice surrounding the commercialization of entrepreneurial ideas. Topics covered include marketing, finance, human resource management and legal issues associated with protecting intellectual property and establishing a new venture.
Management in Professional Context (future option, not offered in 2021)
Analytical thinking is a core skill for all managers. The objective of this course is to offer students the opportunity to develop their skills in conceptualizing questions and problems, developing strategies for analysing and formulating conclusions.
This course will provide an overview of current models for understanding organizing and change broadly, comparing and contrasting general approaches to organizing in professional contexts. The particular context, structure and process of organizing in professions and the implications for managing, adapting and changing in the professions will be examined.
Organizing in professional contexts presents some particular, recurring challenges. This course will examine the distinctive benefits and challenges of working and managing in professional contexts. Students will consider: governance, innovation, leadership, coordination, accountability, inclusion, and careers in professional contexts.
This course examines how marketing analytics transforms research information into strategic insights and how those insights are leveraged to inform marketing decision-making.
The course reviews major categories of marketing decisions and examines some common marketing metrics. Methods for metrics collection, tools for their analysis, and their impact on marketing decisions are discussed.
This course is devoted to the theories, methodologies, and implications of consumer research. Students will learn how theories and research methods can be used to study consumer phenomena and provide novel consumer insights.
This course is designed to provide exposure to specific areas of research in Marketing as a way of stimulating both an understanding of and critical thinking about those topics. The area of concentration depends on the instructor
Supply Chain Management
Supply chain analytics renders supply chains with advanced capabilities like trend analysis, drilldown views, forecasts, what-if analysis, simulation, and optimization capabilities. This course will cover fundamental concepts, processes, and tools to help better manage and improve organizations’ supply chains and key process areas.
Provides an in-depth study of the theory and practice of the SCM functions in the manufacturing and service industries and facilitates an understanding of the strategic concepts and tools necessary for meeting the challenges of 21st century supply chain management.
This course explores risks which would impede supply chain operations and managements in private sectors. This course also explores the potential applicability of concepts in private sector logistics to logistics of nonprofit sectors under disaster and emergencies. The course focusses on developing quantitative and qualitative models in supply chain risk management.
This course explores reverse logistics/closed-loop supply chains with the goal of helping academics and professionals develop knowledge and expertise in this area. Reverse logistics refers to all managerial operations related to reuse or recycle of products, components or materials. Closed-loop supply chains stand for all operations of dealing with items that are no longer desired or can no longer be used by their users. Prerequisites: GS/MSMG6550 3.0 Fundamentals of SCM, GS/MSMG6510 3.00 Analytics for Supply Chain Management.