Knowledge and Understanding
Students acquire an in-depth understanding of the processes and actors—along with their respective interests—that characterise a smart city, with particular attention to the inequalities that may arise and the role of public policies. Students also gain knowledge of the typical issues facing highly urbanised environments, as well as of the methodologies used to formalise and analyse such issues. The course encourages a critical reflection on the concept of the smart city and on the types of data required to understand it. The theoretical component is complemented by national and international case studies on smart cities.

Applying Knowledge and Understanding
Students are required to develop a group project focused on the theme of the smart city and to formulate policy or intervention proposals based on the selected topic. These projects involve the collection and analysis of data. The course fosters the ability to work with multiple existing datasets, triangulate information, and imagine innovative solutions applicable to real-world contexts.

Judgement and Critical Thinking
Through the analysis of complex cases and critical reflection on the role of data scientists themselves, students are encouraged to develop well-reasoned critical judgements and propose substantiated solutions, evaluating both advantages and limitations. Classroom discussions, lecturer feedback on projects, and simulation activities support the development of independent evaluative skills.

Communication Skills
Students are expected to present their group projects orally to peers and lecturers, thereby developing clear, concise, and effective communication skills. Active participation and constructive debate are encouraged during interactive lectures and case discussions.

Learning Skills
The course includes self-directed activities such as individual reading, case study analysis, and the development of a project.