Management Science

Director: Massimo Riccaboni

Curriculum overview

The curriculum in Management Science is oriented towards managerial decision making in complex organizations based on a quantitative approach to finance, marketing, information systems, operations, organizational behavior, innovation and industrial dynamics. Track participants are expected to acquire a solid grasp of underlying principles of information theory, decision sciences, statistics and numerical methods, along with their organizational and economic implications. Students and faculty address research questions raised by the emerging digital economy, the transformation of organizations and markets, and opportunities for new business models. MS is inherently multi-disciplinary. Study in this area utilizes faculty with backgrounds in economics, management science, computer science, decision sciences and complex system analysis. Theoretical methodologies and models are tested through the methodical/systematic investigation of real world case studies.

Input and Output Profiles

This curriculum aims at preparing researchers and professionals with a wide knowledge of the theoretical foundations and tools of dabase analysis, economics and management. Perspective students should preferably have a master-level background in computer science, engineering, physics, mathematics, statistics, economics, management science or in a related field. Although the curriculum is primarily designed to prepare candidates for leading academic positions in top business and industrial engineering schools, a number of our graduates also assume high-level consulting or other industry positions.

Reference area(s): Economics and Management (main), Computer Science, Systems Engineering.

Research Units contributing to the curriculum: LIME - Laboratory of Innovation Management and Economics (main), AXES - Laboratory for the Analysis of Complex Economic Systems (main), NETWORKS - Complex Networks, DYSCO - Dynamical Systems, Control, and Optimization.

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

Coursework: See full course list