The EMBA in AI-Driven Business Models (AIDBM) offers a two-track structure designed for executives aiming to lead digital transformation.
Gain a comprehensive overview of Artificial Intelligence, focusing on its principles, core technologies, and business applications. The module explores how AI enables innovation and acts as a catalyst for competitive growth across industries.
Examine how AI transforms business strategy and entrepreneurship. Learn how data-driven innovation redefines traditional models, fostering new value creation and positioning AI as a strategic asset in modern enterprises.
Analyze how major investors, corporations, and venture funds approach AI innovation. Through real-world cases, explore market dynamics, funding mechanisms, and strategic investments shaping the global AI ecosystem.
Address the ethical dimensions of AI, including bias, fairness, accountability, and transparency. The module promotes responsible innovation practices and explores regulatory frameworks that ensure trust in AI adoption.
Explore the legal and regulatory dimensions of AI, from data privacy and intellectual property to risk management and compliance. Understand how organizations navigate implementation challenges in AI-enabled transformation.
Explore emerging trends and disruptive technologies driving the future of AI. The module connects innovation, business scalability, and leadership readiness for the next wave of AI-powered transformation.
Analyze real-world case studies to understand how AI-driven business models transform processes and create value across diverse industries.
Explore how AI is reshaping human resources — from talent acquisition and workforce analytics to employee development and engagement through smart tools.
Discover how AI enhances marketing strategy through personalization, predictive analytics, and automation — driving customer insight and loyalty.
Learn how organizations leverage AI to streamline operations, enhance decision-making, and improve efficiency through intelligent process design.
Examine how AI and robotics revolutionize key industries such as manufacturing, healthcare, logistics, and retail — enabling smarter, more efficient operations.
Understand how to lead organizational change in the AI era — fostering innovation, managing transformation, and ensuring sustainable adoption across teams.
At AIDBM, the smartest journey is the one you design yourself.
Choose one, two, or three Learning Paths to personalize your Executive Master experience around your goals and ambitions.
Where innovation meets governance, and awareness becomes strategy.
Leadership without awareness drives speed — leadership with awareness drives direction.
Turn vision into impact — connecting AI strategy with measurable business results.
When vision meets data, leadership becomes impact.
Lead the human side of digital evolution with empathy and purpose.
Technology moves fast. People give it meaning. Leaders turn it into transformation.
Transform how your organization listens, understands, and connects through AI.
Great technology doesn’t sell — it connects.
Part-Time Attendance
The program is designed for a part-time attendance, to accommodate professionals and recent graduates by offering a flexible schedule that allows participants to continue working or pursuing other commitments while studying.
Blended Delivery
The delivery mode is blended, combining face-to-face sessions with online components. This hybrid structure allows participants to engage in classroom-based activities during intensive on-campus weeks, while benefiting from digital lectures, group work, and asynchronous learning throughout the rest of the program. It is designed to offer both flexibility and continuity, ensuring a dynamic and accessible learning experience.
Besides 2 intensive weeks (40 h. per week face-to-face) scheduled at the beginning of the first and second terms, the teaching activity is organised as follows:
The program includes 12 core courses, with classes held on two weekdays in the late afternoon – a schedule designed to be fully compatible with professional commitments.
A combination of live sessions and flexible online learning ensures accessibility for international participants across time zones.
Each module is assessed through an individual AI-assisted essay, fostering critical thinking and reflective learning.
The final exam consists of the presentation and discussion of the Project Work, scheduled for September 2027.
The closing ceremony will take place in September 2027.