نظرة عامة على البرنامج

Introduction to the Ph.D. in Data Analytics and Decision Sciences

The Ph.D. in Data Analytics and Decision Sciences (DADS) is a program offered by the Politecnico di Milano, focusing on the intersection of data science, computational methods, and decision-making processes. This program is designed to equip students with advanced knowledge and skills in data analytics, allowing them to drive innovation and solve complex problems in various fields.

Program Structure

The DADS Ph.D. program is structured to provide students with a comprehensive education in data analytics and decision sciences. The program includes research and educational activities, seminars, and workshops, all aimed at fostering a deep understanding of data-driven approaches and their applications.

Research Areas

The program covers a wide range of research areas, including:

• Artificial Intelligence for Health and Precision Medicine
• Data, AI, and Innovation to Understand Complex Societies
• Driving the Future of Mobility: Data, Sustainability, and Innovation
• Artificial Intelligence for the Analysis of Law
• Computational Social Science

Admission

Admission to the DADS Ph.D. program is competitive and based on the applicant's academic background, research experience, and potential. The admission process involves:

• General admission steps
• Open calls for scholarships
• Evaluation of applicants' research proposals and academic records

Funding Opportunities

The program offers various funding opportunities, including scholarships sponsored by institutional and industrial partners such as:

• Human Technopole
• PNRR
• Leonardo SPA
• Istituto Italiano di Tecnologia
• ST Microelectronics
• Marie Curie EU Action
• ABB
• CNR IEIIT
• Humanitas University
• INPS
• NHOA Group
• Falck Renewable SPA
• Regione Lombardia
• POLIS Lombardia
• SAS Institute
• ERNST & YOUNG
• Johnson & Johnson
• ASSOLOMBARDA
• Banca d'Italia
• Fondazione TELETHON
• CSC program

Success Stories

The program boasts a number of success stories from its alumni, who have gone on to pursue careers in academia, industry, and research. Notable alumni include:

• Francesco Pierri, whose research explores the intersection of Computational Social Science and Artificial Intelligence
• Alessandra Ragni, who focuses on developing advanced statistical methods for analyzing hierarchical data
• Lara Cavinato, whose research interests span different unstructured data applications for patient prognostic profiling and personalized treatment
• Laura Savaré, who leverages large-scale healthcare utilization databases to generate real-world evidence informing clinical practice and health policy

Institutional and Industrial Partners

The DADS Ph.D. program is supported by a network of institutional and industrial partners, which provide scholarships, research collaborations, and job opportunities for graduates. These partners are crucial in enhancing the program's quality and relevance to the industry and society.