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University of Milan Master's Degree in Data Science for Economics (DSE)
University of Milan

Master's Degree in Data Science for Economics (DSE)

2 Years

English

Full time

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On-Campus

Introduction

This master's degree course, entirely delivered in English, aims to provide advanced education on methodological methods and tools in computer science (including cloud environments and machine learning), statistics, and mathematics designed to interpret and analyze complex phenomena in the fields of economics. In addition to some compulsory activities, students can autonomously customise the study plan by choosing elective courses between two different educational paths: the "Data Science" and Economic Data Analysis" path.

The Master of Science in “Data Science for Economics” (DSE) aims to provide a modern, effective educational programme for students interested in data science issues, with a special focus on applications to the economic field.

The DSE program started in 2018 and it was re-designed in 2022 to join the emerging “LM-DATA” CUN class.

DSE strongly leverages STEM disciplines to provide solid, coherent training on quantitative and methodological methods and tools of Information Technology (IT) as well as Statistics and Mathematics to interpret and analyze complex phenomena in the field of economy. DSE is conceived as a flexible educational programme with an important number of elective courses. Supported by the tutors, a student customizes the study plan through the choice between two alternative paths, namely “Data Science” and “Economic Data Analysis” paths, to further enhance STEM-oriented and economic-oriented competencies, respectively. The external stakeholders of DSE are constituted by selected territorial companies and organizations focused on data science missions, and they are widely involved in the programme development in the form of lab and internship opportunities.

Given the multidisciplinary nature of the acquired knowledge and skills, the graduates of DSE can work in a variety of professional areas: small, medium, and large IT companies and research centres, companies and public bodies focused on big data management, R&D labs, innovative start-ups, healthcare companies, biomedical and pharmaceutical industries, economic and financial consulting firms, Public Administrations, National Statistical Institutes, National Banks.

Given their solid methodological education, the graduates of DSE can continue their academic experience in a PhD programme; possible scientific fields are Computer Science, Mathematics, Statistics, and Economics.

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