Economics, Management and Data Science
Director: Massimo Riccaboni
This curriculum provides participants with a solid knowledge base in analytical methods in economics and management science. With its multidisciplinary approach, the curriculum is unique in its deployment of a strong integration of concepts, analytical foundations, and practical expertise, to educate a new professional élite with distinctive capabilities in analyzing, interpreting, and managing complex problems. Graduates are trained as future leaders in policy and industry. Students are involved in the analysis of real world big/high dimensional data, in collaboration with companies and institutions. The curriculum relies on distinctive competences at IMT in economics, political economy, management science and analytics, computer science, applied mathematics, statistics, network theory, and system engineering/operation research. Specific fields of study are economic networks and network industries; healthcare and pharmaceuticals; systemic risk analysis; economics and finance; political economy; states and markets; organization, entrepreneurship, and technology; marketing science; systems modeling and optimization; stochastic systems; production and operations. Close associations with a selected set of companies and institutions provide the opportunity to analyze relevant problems, motivating new analytical techniques from practical problem solving.
Input and Output Profiles
This curriculum aims at preparing researchers and professionals with a deep knowledge of methods and techniques for the analysis of big/high dimensional data in economics and management science. Perspective students should preferably have a master-level background in economics, management science, physics, mathematics, statistics, computer science, engineering or in a related field. The curriculum is designed to prepare candidates for leading positions in companies, research centers, and institutions. Job opportunities for graduates from this curriculum are at companies and institutions, with a focus on analytics and data science.
Research Units contributing to the curriculum
Ph.D. candidates also have the opportunity to collaborate with other institutions that work with IMT Research Units.
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