Program Overview

Program Overview

The program aims to form professional figures capable of managing the process of acquiring, modeling, analyzing, and interpreting data for the study of complex phenomena and supporting decision-making processes in institutions, companies, and public and private research entities.

Objectives

The specific educational objectives of the program are:

• Acquisition of solid bases of theory and applications of random phenomena
• Knowledge of principles and methods of data acquisition with related planning and control of information quality
• Knowledge of common statistical models and those specific to different application contexts of interest
• Ability to work both autonomously and in groups for the resolution of application problems
• Ability to communicate in written and oral English, particularly in specialized lexicons
• Acquisition of basic preparation adequate to allow continuous updating of training
• Acquisition of preparation adequate for access to national and international research doctorates in the curricular disciplines

Curriculum Structure

The educational path includes a substantial unitary formative base represented by characterizing activities in the statistical, applied statistical, and applied mathematical fields. In particular, the course aims to provide a solid preparation in statistical-decisional methods through advanced teachings regarding statistical theory, applied statistics, and stochastic processes.

Curriculum Options

The program offers the possibility of choosing between three curricula that allow students to acquire specific competencies related to well-defined professional figures. Each curriculum aims at training in areas of learning oriented to specific professional figures. The proposed curricula are:

• Curriculum oriented to the methodological aspects of data analysis: area of statistical methodologies for models for the representation and interpretation of real phenomena and for supporting decision-making processes of entities, companies, and organizations
• Curriculum oriented to official statistics: area of governance, planning, and control of the quality of official statistics, transformation into knowledge, and dissemination
• Curriculum dedicated to quantitative methods for economic analysis

Specialization

The specialization of student preparation in the different curricula takes place with:

• Diversification of statistical and applied statistical teachings within the characterizing activities and scientific-disciplinary sectors of the teachings provided within the affinity activities
• Laboratories provided among the additional formative activities, which contribute to the specialization of preparation in the foreseen areas The curriculum dedicated to official statistics, in particular, includes a formative internship at companies or public entities.