Analysis and Management of Cultural Heritage

Director: Emanuele Pellegrini

Curriculum overview

The curriculum in Analysis and Management of Cultural Heritage proposes courses in Management of Cultural Heritage and Cultural Institutions, European and International Legislation on Cultural Heritage and Art History/Museology. Notwithstanding some research oriented courses, the curriculum offers mainly practical courses, in order to educate qualified professionals operating in the concrete field of cultural management. It promotes research offering the students a lively contact with different research approaches and methodologies applied in the research fields related to cultural heritage and art history.

Input and Output Profiles

The curriculum aims at providing prospective professionals operating in the field of management of culture and cultural heritage with specific know-hows. Prospective students should preferably have an undergraduate background in the Social Sciences, the Humanities and ICT related to Cultural Heritage. This curriculum will enable graduates to access to:

  • Academic career in Art History.
  • Public and private Institutions dealing with the concrete management of Cultural Heritage; Promotion of Culture and Tourism; Organization of cultural events; Diffusion and teaching of culture.

Reference area(s): Sciences of Cultural Heritage (main), Economics and Management, Computer Science.

Research Units contributing to the curriculum: LYNX - Center for the interdisciplinary Analysis of Images (main), AXES - Laboratory for the Analysis of Complex Economic Systems, LIME - Laboratory of Innovation Management and Economics, NETWORKS - Complex Networks, PRIAn - Pattern Recognition and Image Analysis.

PhD candidates also have the opportunity to collaborate with other institutions that work with IMT Research Units:

  • ASK Centre (Art, Science and Knowledge), Bocconi University
  • ISTI-CNR, for themes related to the use of ICT technologies in the field of Cultural Heritage both in terms of valorization and analysis (e.g. CH applications of data management and data mining technologies).

Coursework: See full course list