University of Siena Master in Economics for the Environment and Sustainability
University of Siena

University of Siena

Master in Economics for the Environment and Sustainability

Siena, Italy

Master degree

2 years

Italian

Full time

On-Campus

Key Summary

    About : The Economics for the Environment and Sustainability program focuses on the intersection of economic and environmental challenges. This postgraduate course dives into critical topics like sustainability, climate change, and resource management. You'll gain essential skills to analyze economic data and inform policy decisions in environmental contexts.
    Career Outcomes : Graduates can pursue various career paths, including roles as environmental economists, policy analysts, sustainability consultants, and researchers. Opportunities exist in government agencies, non-profit organizations, and private sector firms focused on sustainability practices.

The acquired knowledge and professionalism allow the graduate to carry out work with managerial and consultancy functions, as well as to participate in groups for the elaboration of projects and the evaluation of investments in the environmental and social field.

The Master’s Degree Program in Statistical Methods and Data Analytics is aimed at preparing graduates with the ability to integrate effectively into public or private sectors in order to carry out activities involving the rationalisation and management of information databases, the design and implementation of statistical surveys useful for understanding socio-economic and environmental phenomena.

Since its establishment, formerly Statistical Sciences for Sample Surveys, the program has always been characterised by a limited number of enrolled students, self-selected upon entry, and with typically quantitative backgrounds. In the past year, the Committee has set the goal of gradually increasing enrollments, and for this reason, significant changes have been made, leading to the new title “Statistical Methods and Data Analytics.”

The cultural and professional profile of the graduate with a Master’s degree in Statistical Methods and Data Analytics is characterized by an adequate knowledge of the main statistical analysis techniques, an adequate knowledge of the procedures for acquiring and managing data derived both from traditional sources and from new sources (big data, open data), and of the methodologies for their analysis through the use of programming languages specific to data science; in addition to the analysis of relationships between variables, multidimensional data analysis, experimental design, and the interpretation of their results.