The IMT School offers six interdisciplinary PhD Programs in
| Cognitive, Computational and Social Neurosciences | More info | |
| Cultural Systems | More info | |
| Economics, Analytics and Decision Sciences | More info | |
| Systems Science | More info | |
PhD Program in Cognitive, Computational and Social Neurosciences
This research-based, multidisciplinary PhD Program focuses on cognitive, computational and social neurosciences, and integrates basic neuroscience methods with traditional experimental psychology and cognitive neuroscience. The track prepares researchers capable of developing innovative research strategies and creative ideas to monitor, understand and predict human behavior, mind and its complexity.
PhD Program in Cultural Systems
The Ph.D. Program Cultural Systems constitutes a unique multidisciplinary environment. It trains students to undertake cutting-edge research in the many scientific fields related to cultural systems and to operate as high-level, innovative cultural heritage professionals. It offers two tracks, Analysis and Management of Cultural Heritage (AMCH) and Museum Studies (MUST). Both research- and practice-oriented courses are in the program, which aims at opening career paths in Academia, museums, cultural institutions, creative industries, and private companies. Students are encouraged to spend part of their training abroad within the Erasmus+ framework and ad hoc mobility agreements.
PhD Program in Economics, Analytics and Decision Sciences
The PhD Program in Economics, Analytics and Decision Sciences trains students to undertake cutting-edge research in a wide range of economic and social disciplines with a unique multidisciplinary approach that relies on the unifying language of statistics and data science, as well as on selected tools from computer science and psychology.
PhD Program in Systems Science
The aim of SyS is to equip students with the necessary skills to conduct advanced research in the field of analysis and design of a range of technological, natural, economic, and social systems. This is achieved through the use of descriptive and predictive mathematical models. SyS students work on diverse projects, such as improving the efficiency of industrial systems, comprehending the complexity of biological, ecological, social, and economic systems, and ensuring the reliability and autonomy of cyber-physical systems that combine physical modules and software. The potential application areas of SyS include several industries such as automotive, aerospace, communication, chemical, infrastructure, energy, biomedicine, financial, and manufacturing, as well as governmental sectors such as central banking and official statistics.
PhD Program in Management of Digital Transformation
The main goal of the PhD program in Management of Digital Transformation is to train a new executive class to respond to the management needs of digital transition processes, drawing inspiration from and responding to the needs outlined in the PNRR to bring businesses and institutions together with universities and research.
The MDT doctoral program pursues this goal by combining a "horizontal" approach to academic activities with a "vertical" approach to research. The PhD Program offers a cross-disciplinary educational offer of a multidisciplinary nature dedicated to digital transition issues addressed from a cultural, economic, social, engineering, IT, legal, managerial, neuroscientific, and psychological perspective.
Distinguishing feature of the PhD Program in MDT is the corporate involvement: Research activities entail a specific in-depth study on a highly-qualified scientific project highly-qualified scientific project in line with the student's curricular profile and motivations, developed jointly by an academic advisor and a company representative.
National PhD in Cybersecurity
The National PhD in Cybersecurity prepares you to analyze and solve a broad spectrum of cybersecurity-related problems, all with a high institutional, social, and industrial interest, with the primary objective of identifying practical solutions in various fields. Through a strong multi- and inter-disciplinary approach, the PhD program provides a basic exposure to all such wide-ranging spectrum of competences and focuses on four key thematic Specialization Curricula:
- Foundational Aspects in Cybersecurity
- Software, System, and Infrastructure Security
- Data Governance & Protection
- Human, Economic, and Legal Aspects in Cybersecurity
PhD graduates will possess the necessary technical knowledge and expertise on information technologies, will be able to understand the general socio-legal framework in which they operate and to design operational processes in line with fundamental-rights protection standards, regulatory obligations, international policies, and economic implications.