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Master in Statistics

The Master in Statistics emphasizes the practice of data analysis, the resolution of methodological problems in various disciplines, and the learning of different statistical software or mathematical statistics. This training is intended not only for specialists wishing to deepen their theoretical knowledge in a research logic in statistics but also for non-specialists who want to develop their skills in data analysis for application in a field of specialization acquired at the Bachelor's level.

Overview

Duration of Studies

3 semestres - 90 ECTS credits

Language of Instruction

English

Scientific Committee

• Professor Sebastian Engelke (director)
• Professor Fabio Trojani
• Professor Davide La Vecchia
• Dr. Shahin Tavakoli

Program Details

The Master in Statistics is designed to provide students with a comprehensive understanding of statistical methods and their applications. The program covers various aspects of statistics, including data analysis, statistical modeling, and research methodology.

Program Structure

The program consists of 90 ECTS credits and is typically completed in 3 semesters. The curriculum includes a range of courses that provide students with a solid foundation in statistical theory and methodology, as well as the opportunity to specialize in a particular area of interest.

Admission Criteria

To be eligible for the Master in Statistics program, applicants must meet the admission requirements set by the university. These requirements may include a Bachelor's degree in a relevant field, a minimum GPA, and proficiency in English.

Research Areas

The Master in Statistics program offers students the opportunity to engage in research projects and collaborate with faculty members who are experts in their fields. The program covers a range of research areas, including statistical modeling, data analysis, and research methodology.

Career Opportunities

Graduates of the Master in Statistics program can pursue a variety of career opportunities in fields such as data analysis, statistical modeling, and research methodology. They can work in industries such as finance, healthcare, and government, or pursue further education and research in statistics and related fields.