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Students and Faculty

Data Science and AI Summer Program

Students in class

56%

Women

51

Nationalities represented

50% 

Student nationalities outside of Europe

22

Average age

48%

Post-bachelor's level

28%

Non-business background

(not Business, Management, Finance or Economics)

*Total Summer School 2025 Profiles

Some Students' Home Academic Institutions in 2025

  • University of Sydney, Australia
  • Vienna University, Austria
  • McGill University, Canada
  • University of British Columbia, Canada
  • FUDAN University, China
  • Tsinghua University, China,
  • Shanghai University, China
  • Copenhagen B. School, Denmark
  • Sciences Po Paris, France
  • TUM Munich, Germany
  • University of Mannheim, Germany
  • HKUST, Hong Kong
  • Ashoka University, India
  • IITB Bombay, India
  • Bocconi University, Italy
  • LUISS Business School, Italy
  • University of Tokyo, Japan
  • ITAM, Mexico
  • RSM, Rotterdam, Netherlands
  • NUS, Singapore
  • ESADE, Spain
  • IE Business School, Spain
  • University of St. Gallen, Switzerland
  • Glion Inst. of Higher Ed., Switzerland
  • University of California, Berkeley, USA
  • Georgetown University, USA
  • New York University, USA
  • Imperial College London, UK
  • LSE, UK
  • Warwick B. School, UK
  • UCL London, UK
  • University of Cambridge, UK 

Student Stories

Summer school

I found myself immersed in a stimulating environment that seamlessly blends innovation, strategic thinking, and entrepreneurial spirit.

 

Participating in the Data Science & AI Summer Program at HEC Paris was a profoundly transformative experience...

Photo  Imane Abdel Jelil

Summer School

Data Science & AI

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Summer school

This experience boosted my confidence in working with AI and data-related tools. I now feel equipped to integrate these skills into my future professional work.

 

I chose the Data Science & Artificial Intelligence Summer Program at HEC Paris to explore...

Photo Vladimir Haller

Summer School

Data Science & AI

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Summer school

The program introduced us to the fundamentals of AI, strengthened our communication with data scientists, and equipped us to manage AI-driven projects.


Before enrolling in the Data Science and AI course at HEC Paris, I was a Regional Innovation...

Photo Theresa Thuong Phan

Summer School

Data Science & AI

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Academic Team

Professor Vincent FRAITOT is a professor, author and speaker with over 30 years of experience managing new technologies, digital data and AI in international organizations. He teaches Data Science & Artificial Intelligence for Business, Digital and Data Transformation, Business Models as Associate Professor in the Strategy & Business Policy Department of HEC Paris in programs spanning the Masters “Grande Ecole”, MBA, EMBA and Executive Education.

Scientific Director of the HEC MSc Data Science for Business, a joint degree program between HEC and Ecole Polytechnique, Professor Fraitot is also Pedagogy Director of the Hi! PARIS Research Center for AI and Manager of the Natixis-Ecole Polytechnique-HEC Paris Chair on "Data for banking". Professor Fraitot is also the Founder and Director of the HEC Paris "Data Science for Management" Certificate and the "Data Science for Business" Academy.

His background includes a variety of international leadership roles, including Managing Director of vente-privee consulting, the consulting affiliate of Veepee, where he supported international brands and groups in their digital transformation, both in B2C and B2B.  

As a Partner at KéaEuclyd, a consulting company specialized in Digital and Data Strategy, he helped top executives to develop their businesses.
He is a speaker specializing in demystifying AI, Machine Learning and Deep Learning, using his knowledge of those domains and its expertise in explaining complicated concepts in an easy and accessible way. Professor Fraitot received the prestigious Vernimmen Prize "Teaching Award 2022".

Finally, he wrote a book Data Science & IA pour les Managers, published by Netexplo and HEC Paris in January 2023. More information can be found here.

 

Professeur Vincent Fraitot