Students
Tuition Fee
CHF 5,000
Per course
Start Date
2027-03-23
Medium of studying
On campus
Duration
4 days

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Details
Program Details
Degree
Courses
Major
Business Management | Artificial Intelligence | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
CHF 5,000
Intakes
Program start dateApplication deadline
2027-03-23-
2027-03-24-
2027-03-25-
2027-03-26-
About Program

Program Overview


The Data & AI-Driven Enterprise

Presentation of the Formation

The data and artificial intelligence (AI) have become essential drivers of innovation, productivity, and growth in the contemporary economy. However, despite the vast opportunities, many organizations struggle to assess their relevance, value, and risks for the enterprise, as well as to define realistic use cases and transformation trajectories towards true data and AI-driven enterprises.


This module presents the economy of data and AI and explores how companies create value from data and AI, manage their portfolio of use cases, and define strategies and roadmaps for transformation. It demystifies key concepts such as Big Data, data science, machine learning, AI, and generative AI, relating them to concrete applications in the professional world.


Participants acquire a practical understanding of the implementation of these technologies and discuss organizational and technological challenges related to the widespread use of data and AI across the enterprise. The module presents numerous real-world use cases from different sectors, as well as methodological frameworks and concrete tools that participants can mobilize to stimulate innovation and generate measurable value through data and AI-based approaches.


Objectives of the Formation

  1. Define the role of data and AI and build a strategy to become an AI-driven enterprise.
  2. Master key concepts of machine learning and generative AI, and distinguish the concrete from mere trends.
  3. Apply proven methods to target and deploy data and AI use cases that create real business value.

Target Audience

  1. (Future) Data Directors (CDO), senior executives, or executives launching data initiatives.
  2. Managers, BIM, data engineers, or data architects who wish to successfully manage a data-driven transformation.
  3. Data champions or operational executives (HR, marketing, operations, etc.) who wish to better master data and analysis.

About the Formation

Our short course in The Data & AI-Driven Enterprise is designed for professionals, taking into account current challenges. This continuing education integrates a participative dimension. Fundamental concepts will be presented beforehand, then complemented and illustrated by numerous practical exercises derived from real cases.


Thanks to this inclusive approach combining practical application and academic excellence, you will not only be able to concretely use the concepts presented during our formation but also develop lasting knowledge that will enable you to apply these concepts beyond your current environment.


Our Instructors

  • Christine Legner, Professor
  • Sandro Saitta, Professor
  • Alice Vaskova, Professor
  • Olivier Verscheure, Professor

Formation Details

  • Duration: 4 days spread over 1 month
  • Price: 5,000 CHF
  • Language: English
  • Location: On-site

Sessions of the Formation

You will find below all our open sessions in The Data & AI-Driven Enterprise. Click on the one that interests you or consult the complete calendar.


  • March 2026: Open, dates complete (March 23, 24, 25, and 26, 2026), language (English), registration (before January 31, 2026)

Additional Information

The Executive Education HEC Lausanne offers 59 university continuing education programs in different areas: Data, etc. Therefore, beyond this formation in The Data & AI-Driven Enterprise, we offer several other related formations that may interest you.


Related Formations

  • Digital Marketing: As the world becomes increasingly digital, marketing must evolve to reach, engage, and convert audiences.
  • Data Science & Management: Data and artificial intelligence (AI) are redefining how organizations operate, make decisions, and deliver value.
  • Project Leadership: Technical and methodological skills that project leaders apply daily to manage projects effectively, ensuring they are completed on time, within budget, and to the required quality standards.

Frequently Asked Questions

What are the general conditions applicable to this formation?


The formation in The Data & AI-Driven Enterprise is subject to the general conditions available here.


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