Semestre 2

This course is designed to equip students with both the theoretical foundations and practical applications of quantitative tools used in administrative contexts. The course covers a wide range of topics, including linear programming, decision-making under risk, decision trees, cost analysis and break-even point, game theory, simulation, and dynamic programming. Special attention is given to understanding the contexts in which these models are applied, the conditions for their use, their limitations, and how to interpret results in ways that support accurate and effective decision-making.​
​The value of this course lies in its comprehensive nature and its integration with other modules within the Master’s program in Business Administration. Its applications go beyond production and operations management to include finance, marketing, human resource management, strategic planning, and quality control. Quantitative methods have become indispensable tools for enhancing organizational competitiveness, achieving operational efficiency, and ensuring sound decision-making in resource-constrained and uncertain environments.​
​Accordingly, mastering and properly applying quantitative methods represents a key step in shaping a modern manager capable of analyzing current realities, anticipating future developments, and formulating strategic decisions grounded in solid scientific reasoning. This makes the course a core component in preparing Master’s students to meet the demands of the job market and the global business environment.​