Educational Objectives

The Bachelor of Science in Economics has the following specific objectives:

• Provide solid, multidisciplinary preparation in business, economics, mathematics and statistics, computer science, and comparative legal studies, enabling students to critically interpret the economic and regulatory contexts in which organizations operate, with particular attention to the impact of cognitive biases across different areas of application.

• Characterize the program in economic sciences (microeconomics and macroeconomics), supported by mathematical and statistical tools and complemented by logical-cognitive tools and knowledge from the social sciences. The program develops in-depth competences in micro- and macroeconomic analysis, econometrics, empirical research methods, international economics and the theory of strategic decision-making. Depending on the chosen pathway, students may further develop expertise in computational, algorithmic and machine learning techniques applied to economic analysis and data interpretation, or in the behavioral, historical and institutional dimensions of economic phenomena, including incentive design and organizational dynamics. This multidisciplinary approach combines the study of formal economic models with the analysis of the behavior of economic agents, drawing on quantitative tools and insights from the social sciences, with the aim of fostering an understanding of the growing complexity of economic and social phenomena.

• Promote applied skills for analyzing economic and social problems through a scientific, logical-critical and data-oriented approach:

  • the formulation of formal models (through mathematical and computational tools) that make it possible to identify logical relationships and causal links among the variables characterizing the economic and social environment

  • the testing of hypotheses through empirical analysis, the application of econometric tools and data-driven empirical research methods

  • the use of advanced quantitative analysis techniques, including (depending on the chosen pathway) algorithmic methods, machine learning  and artificial intelligence, for the interpretation and modeling of economic phenomena

  • the application of deductive and inductive methods that enable the assessment of the validity of arguments in probabilistic reasoning and the clear distinction between empirical evidence and opinion

  • the understanding of the behavioral, institutional and historical dimensions of economic phenomena, recognizing that individual decisions are also influenced by psychological factors and prevailing social and cultural norms.

• Develop the ability to apply knowledge through technology-based teaching and learning methodologies that foster interaction (between students and instructors, as well as among students), engagement and the development of problem-setting and problem-solving skills, in line with a learning-by-doing approach.

• Encourage students to responsibly assess the consequences of their decisions in professional contexts.

• Promote linguistic and communication skills, ensuring competence in one European Union language and the ability to communicate effectively in diverse professional contexts.