Program Overview

Program Overview

The primary educational objective of the course of study is to provide students with a solid foundation in the disciplines that define the sciences for data management, with statistics playing a central role.

Objectives

The course aims to equip students with a solid base in statistical, probabilistic, mathematical, computer science, economic-quantitative, and operational research disciplines. The course structure includes:

• Mandatory teachings in statistical, probabilistic, mathematical, computer science, economic-quantitative, and operational research areas.
• Optional teachings that allow for in-depth study in areas of applied statistics, quantitative economics, and operational research.
• Other formative activities that complete the course, including English language, other knowledge for entering the workforce, and a final exam. Among the activities aimed at providing knowledge for professional insertion are laboratories oriented towards methodologies, applications, case studies, and the acquisition of transversal skills (soft skills).

Course Structure

The course is structured to provide students with a comprehensive education in data management, including:

• Mandatory courses in core areas
• Optional courses for specialized study
• Additional formative activities for professional development

Educational Goals

The educational goals of the course are to provide students with a solid foundation in data management sciences, including statistics, and to equip them with the skills and knowledge necessary for professional roles such as data analyst and optimization analyst. The course aims to provide students with the ability to collect, process, analyze, and interpret data at various levels of complexity and in multiple application areas.