Artificial Intelligence and managerial choices: innovations and strategies for digital transformation
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| Program start date | Application deadline |
| 2027-01-01 | - |
Program Overview
Executive Master in Intelligenza Artificiale e Scelte Manageriali
The Executive Master in Intelligenza Artificiale e Scelte Manageriali: Innovazioni e Strategie per la Trasformazione Digitale is an exclusive training course that combines the scientific and technological expertise of the Politecnico di Torino with the consulting expertise of Deloitte.
Course Description
During the course, participants will acquire knowledge and skills in the digital field and Artificial Intelligence (AI), such as Machine Learning, Deep Learning, and Natural Language Processing. They will also learn how AI is transforming business and how to integrate AI into corporate strategies and business models.
Target Audience
The course is aimed at recent graduates, professionals, and managers who want to acquire high-level skills to guide digital transformation processes through Artificial Intelligence.
Course Details
- Duration: 6 months - 100 hours
- Format: Part-Time, every other Friday and Saturday
- Language: Italian
- Campus: Blended - Torino
- Tuition Fee: 3,200
- Scientific Coordination: Prof. Emilio Paolucci, Prof.ssa Elisabetta Raguseo
- Edition Number: 3
Course Schedule
The course will take place from January 2026 to July 2026.
Admission Requirements
Please note that the admissions are currently closed.
Previous Editions
This is the third edition of the Executive Master.
Course Objectives
The course aims to provide participants with the knowledge and skills necessary to guide digital transformation processes through Artificial Intelligence. The objectives include:
- Acquiring knowledge and skills in the digital field and Artificial Intelligence
- Learning how to integrate AI into corporate strategies and business models
- Developing high-level skills to guide digital transformation processes
Scientific Coordination
The course is scientifically coordinated by Prof. Emilio Paolucci and Prof.ssa Elisabetta Raguseo.
