The PhD Program in Computer and Data Science for Technological and Social Innovation (CDS-TSI) is designed to offer a high-level educational pathway in various sectors of Computer Science, with particular emphasis on Data Science applications. With a faculty boasting high multidisciplinary qualifications, an extensive network of national and international contacts, longstanding collaborations with industrial entities, and participation in numerous funded research projects, the CDS-TSI PhD program aims to train highly qualified professionals through a program offering both solid technical skills and cross-disciplinary soft skills.

The educational offering is designed to cover both theoretical and practical aspects related to (i) enabling information technologies and (ii) state-of-the-art and emerging application contexts, emphasizing the cross-disciplinary nature and synergy between scientific and social disciplines. Among the enabling information technologies highlighted are distributed and parallel systems (high-performance embedded systems and High Performance Computing; Internet of Things and edge-fog-cloud computing paradigms, complex systems modeling); scalable Data Analytics (algorithms and techniques for big data management and analysis); and Cybersecurity. The areas of application of interest are numerous and deeply rooted in the digital transformations of social sectors (recommendation systems, sharing economy, social contagion and viral marketing, human-machine interaction, business ethics, natural language modeling, business analytics, digital preparedness) and technological sectors (Industry 4.0, Autonomic computing for collective self-adaptive systems, autonomous driving systems and Connected Shared Mobility, clinical medicine).

The educational offering, updated annually and published on the course website, combines specialized teachings and seminars, participation in summer schools with research activities aimed at scientific production, participation in conferences (for the presentation of research products), and internships at foreign institutions for a minimum of 3 months in total. These periods abroad will allow candidates to consolidate their technical skills and research methodologies through exposure to different work environments, and enable them to establish a network of contacts that will support them in the years following their degree completion.