What is Management Science?
Management Science and Quantitative Methods (MSQM) uses math and statistics to solve complex decisions. It optimizes processes and empowers pros to analyze data for real-world solutions. Our program applies STEM to management in business, government, and non-profits.
Management Science course options
Our MBA science management concentration offers a diverse range of elective courses that help students understand management science and quantitative methods. Here are the key courses included in this concentration:
- Relevant CoursesE-Commerce and Digital Marketing (GSM 6004)
- This hands-on learning course focuses on keyword advertising campaigns in the digital marketing landscape. Students work with real organizations, applying techniques and statistical analyses to digital marketing strategies.
- Management analytics is the process of transforming data into actionable insights. This course teaches students various analytical tools and methodologies to make data-driven decisions in diverse industries.
- This course delves into public cost-benefit analysis, emphasizing quantitative evaluation of public policies. Students learn to communicate complex quantitative analysis to a lay audience.
- This course covers both qualitative and quantitative forecasting techniques. It also focuses on statistical modeling and data interpretation for business and economic data.
- Lean Six Sigma combines Lean principles and Six Sigma methodologies to reduce waste, enhance quality, and improve business processes.
- This course on System Dynamics emphasizes understanding complexity, feedback, and endogeneity in problem-solving. Students learn to apply systems thinking and modeling to real-world issues.
- Database management is a foundational skill in the information age. This course covers modern database concepts and development skills, including SQL and data retrieval for informed decision-making.
- As organizations increasingly rely on projects, this course explores project management from an executive perspective. Topics include planning, risk management, and agile methodologies.
- This course applies game theory to strategic decision-making and negotiation. Students explore decision trees, optimal strategies, and communication in various sectors.
- This course addresses the strategic use of data as a competitive resource. Students work with client organizations to solve complex problems using data-driven models and advanced data management techniques.
- This course focuses on planning and evaluating financing, investment, and dividend strategies in corporations, emphasizing analytical frameworks and case analysis.
- This course integrates financial and macroeconomic analysis to design and implement investment strategies in stocks and exchange-traded funds. Topics include economic outlook, risk analysis, and asset allocation.