Program Overview

Program Overview

The program aims to train professionals capable of managing the entire process of planning and data collection to perform complex phenomenon analysis based on statistical methods and models for knowledge growth and decision support in various application contexts, both in public institutions and private companies.

Program Structure

The master's degree course is entirely taught in English and has a strong international vocation, which includes the possibility of integrating a double degree with some prestigious European universities into the study path. The goal is to equip graduates with skills suitable for specific professional profiles. These figures include:

• The data analyst able to exploit statistical tools, optimization methods, and large amounts of data in an integrated manner.
• The expert in the field of methodologies for producing and analyzing national and international official statistics.
• The expert in statistical methods for the treatment of economic data. The training of these figures is specifically addressed through three distinct curricula (curricula). Knowledge is integrated and enhanced with additional training activities, sometimes framed within internships, and is evaluated through intermediate tests, discussion of individual projects and group work, written by students and certified through traditional exams.

Program Details

The program is designed to provide students with a comprehensive education in statistical methods and applications, with a focus on practical skills and real-world applications. The program includes a range of courses and activities, including:

• Statistical methods and models for data analysis
• Optimization methods and large data analysis
• Methodologies for producing and analyzing national and international official statistics
• Statistical methods for the treatment of economic data
• Internships and project work
• Traditional exams and intermediate tests

Academic Calendar

The courses for the first semester of the academic year begin on Monday, September 22, and end by December 19, 2025, as indicated in the academic calendar. Students can find the lesson timetable, the name of the teacher, and the classroom by checking the academic calendar.

The final answer is: $\boxed{}$