Concordia
Concordia students will be prepared to face life’s unscripted challenges and thoughtfully influence the affairs of the world.
35 Credits | 2 Years | Fully Online
Elevate your career with advanced business and leadership skills.
The MSQM program is comprised of courses curated to offer theory, foundational knowledge, and practical application that transition into real-world skills. The course schedule is designed to meet the needs of busy, working professionals.
The program begins in July with an elective Business Statistics course. During fall semester, students will be provided course options that align to their experience level and career goals. Courses in the MSQM program are accelerated and designed with short breaks between each course.
Interested in taking a course from the program?
Complete a short admission form to take individual graduate courses from the program as a non-degree seeking student.
| Course | Course # | Credits | Instructor |
| Business Statistics (All Students) July 17-August 11, 2023 |
DATA-608 | 3 Credits | Dr. Philip Lemaster |
| This course allows the student to understand and demonstrate knowledge of descriptive and inferential statistics used in research, and apply their knowledge to real-world situations and research questions. Emphasis is placed on distinguishing similarities and differences among statistical tests, and recognizing the essentiality of statistics for producing and comprehending scientific research. | |||
| Course | Course # | Credits | Instructor |
| Data Analysis & Visualization (All Students) August 28-October 13, 2023 |
DATA-600 | 3 Credits | Dr. Mark Causapin |
| This course focuses on both the technical and visual aspects of inspecting and presenting data. Technical topics will include importing data from various sources, establishing relationships between data tables, transforming data (including pivoting and unpivoting), filtering, sorting, and aggregation. Visuals will be designed to focus attention on what the data is saying, with a special focus on visuals that respond dynamically to user manipulations (e.g., filtering). Emphasis will be placed on the design/refinement cycle for visualizations, with peer review playing a prominent role. | |||
| Cost Accounting (Math Specialization) October 23-December 8, 2023 |
ACCT-626 | 3 Credits |
Dr. Jorge Scarpin |
| This course focuses on the development and analysis of cost information used by management decision makers to evaluate and improve company performance. It includes product cost analysis, profitability planning, performance analysis and emerging cost strategies. | |||
| Data Mining (Bus & Acct Specialization) October 23-December 8, 2023 |
DATA-618 | 3 Credits | Dr. Gregory Tanner |
| Data mining is the study of discovering and assessing patterns, relationships and information within large data sets. This course provides an introduction to data mining with an emphasis on predictive modeling techniques and machine learning algorithms. Examples and applications will be drawn from various disciplines. | |||
| Course | Course # | Credits | Instructor |
| Theory & Application of Leadership (Math Specialization) January 15-March 1, 2024 |
BUSN-662 | 3 Credits | TBD |
| This course is designed to provide a comprehensive view of the nature and practice of leadership. Among the topics explored are historical, philosophical and theoretical foundations; ethics and values; power and influence; conflict management; and effective leadership in formal organizations. | |||
| Forecasting (Bus & Acct Specialization) January 15-March 1, 2024 |
DATA-617 | 3 Credits | Dr. Mark Causapin |
| Forecasting is the science of predicting future events and outcomes. In this course students will learn how to effectively use both data and theory to create forecasts and how to quantify and communicate uncertainty in forecasts. Topics include random walks, Markov models, time series analysis, Bayesian methods and qualitative forecasting. | |||
| Operations Management & Research (All Students) March 11-April 26, 2024 |
MATH-635 | 3 Credits | Dr. Gregory Tanner |
| An introduction to the theory and practice of quantitative modeling and optimization, with applications to computer simulation and business resource management. Possible topics include linear and nonlinear programming, network analysis, game theory, deterministic and probabilistic models. Prerequisites: Instructor's consent |
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| Course | Course # | Credits | Instructor |
| Advanced Operations in Management & Research (All Students) May 6-June 14, 2024 |
DATA-665 | 3 Credits | Dr. Gregory Tanner |
| Students will learn specialized applications of operations research to problems arising from business. These will include data envelope analysis, transportation and transshipment problems, goal programming, network models (including PERT-CPM), and capital budgeting. Other topics such as inventory models, facility location problems, etc. will be covered as time and student interest permit. Special attention will be paid to the development and analysis of models for realistic medium- to large-scale problems. Prerequisite: MATH-635 |
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| Advanced Leadership (All Students) June 24-August 2, 2024 |
BUSN-668 | 3 Credits | TBD |
| This course explores advanced concepts and theories related to leadership with emphasis on contemporary topics of leadership and factors that guide leader behavior. Students will examine classic and current scholarship to bridge between theory and practice. The course focuses on critical thinking about leadership. | |||
| Course | Course # | Credits | Instructor |
| Supply Chain & Risk Management (All Students) September 2-October 18, 2024 |
BUSN-610 | 3 Credits | Dr. Marcia Santiago Scarpin |
| In this course, students will gain a solid understanding of supply chain and risk management principles, including effective ways to identify, mitigate, and measure the impact of potential supply chain disruptions, leading to informed and effective supply chain decisions. Topics in the course include supply chain design, strategies, integration, visualization, analytics, endogenous and exogenous risk, and mitigation methods. | |||
| Corporate Finance (Math Specialization) October 28-December 13, 2024 |
FIN-603 |
3 Credits |
Dr. Angel Rodriguez Carrete |
| This course provides an overview of corporate financial management. Students will develop the skills needed for the analysis of investment and financing decisions in a corporation and how these decisions affect firm valuation. Topics covered include working capital management, risk and return, capital structure, mergers and acquisitions, discounted cash flow analysis, the capital asset pricing model, and the cost of capital. | |||
| Applied Statistical Models (Bus & Acct Specialization) October 28-December 13, 2024 |
DATA-626 | 3 Credits | TBD |
| This course provides students with an introduction to the construction and analysis of least-squares models, including multiple regression, ANOVA, ANCOVA, and mixed models. Generalized linear models will also be presented, with special attention paid to logistic regression and log-linear models. | |||
| Course | Course # | Credits | Instructor |
| Special Topic (All Students) January 13-February 28, 2025 |
XXXX-608 | 2 Credits | TBD |
| Courses covering various topics of interest in a particular discipline are offered regularly. Topics addressed are related to recent and current events, skills, knowledge, and/or attitudes and behaviors pertinent and relevant to student's professional development. | |||
| Integrative Capstone Experience I (All Students) January 13-February 28, 2025 |
DATA-685 |
3 Credits |
MSQM Faculty |
| The purpose of the capstone course is to provide students with a culminating, integrative curricular experience. The capstone project consolidates and exemplifies students’ knowledge across content areas within the MSQM program. Students will focus on in-depth case analyses relative to their own professional development. (The capstone project is designed to be taken towards the end of the MSQM program. It isn’t required that all other courses be completed, but students should have completed more than 50% of the coursework before taking the capstone experience.) Prerequisites: Instructor’s consent |
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| Integrative Capstone Experience II (All Students) March 10-April 25, 2025 |
DATA-686 | 3 Credits | MSQM Faculty |
| See description above. |
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Understand the costs and fees related to the program. Find information for financial aid.
learn moreConcordia students will be prepared to face life’s unscripted challenges and thoughtfully influence the affairs of the world.
Contact the admission team at MSQM@cord.edu with questions about the program.
Dedicated to developing global, entrepreneurial and ethical leaders.