Program Overview

Introduction to the PhD Program in Data Analytics and Decision Sciences

The PhD program in Data Analytics and Decision Sciences (DADS) is designed to train highly qualified senior data scientists capable of conducting research at universities, international research centers, tech and financial firms, consultancies, regulatory bodies, and other public or private organizations.

Program Overview

The program results from cooperation among three departmentsDEIB, DIG, and DMATand the Health Data Science (HDS) Center at Human Technopole. It offers students a highly interdisciplinary environment with strong ties to international research centers and companies. PhD candidates develop advanced skills in methods for analyzing and integrating large, heterogeneous datasets, applying them in healthcare, industry, sustainable mobility, and social innovation.

Educational Content

• The program includes a presentation and an educational project, both available for download in PDF format.
• A list of courses is provided, and students can consult the elenco degli insegnamenti del corso for more information.

Program Structure

1. Department: Elettronica, Informazione e Bioingegneria (DEIB)
2. Faculty Board: Head - Piercesare Secchi
3. Staff: Information available upon request

PhD Theses

The theses archive is available, dating back to 2012. Theses abstracts can be found in the Yearbooks for 2022, 2023, 2024, and 2025, downloadable in PDF format.

Study Programs

The PhD program in Data Analytics and Decision Sciences is part of the broader academic offerings, which include:

• Duration: 3 Years
• Administrative Office: Milano Leonardo
• Language: English

Campuses

The Politecnico di Milano has several campuses, including:

• Milano Leonardo
• Milano Bovisa
• Cremona
• Lecco
• Mantova
• Piacenza
• Xi'an

Resources and Support

Various resources are available to students, including:

• WeBeep
• Work with us
• Search for classrooms
• Search for professors
• Search for programmes
• Lecture timetable
• Exam sessions
• Request maintenance
• Intranet
• Campuses maps
• Brand identity
• Social media

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