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AI specialisation


​Track and course overview 

Intakes: September

Taught in: English​​


Artificial Intelligence specialisation

The artificial intelligence track is the result of a collaboration between experts from different disciplines. The curriculum reflects the variety and richness of research and teaching of SKEMA AI faculty profiles in the AI Institute

Graduates are experts in artificial intelligence with an interdisciplinary approach. Our students will learn different disciplines ranging from computer science to management, from data science to marketing, from machine learning to HRM. Students will also learn about cutting-edge applications to business and management made possible by AI technology. 

They will also have the opportunity to develop their capstone projects with SKEMA AI faculty, an internationally recognised group of scholars with various backgrounds and research expertise in AI. 

Ethical aspects related to this field are taken seriously too.

Strong points

This specialisation builds on the BBA's 30 years of experience in dual skills training: in science and management. The recent development of the SKEMA Labs in Sophia, Raleigh and Montreal provide practical elements that allow students to develop and be ready for their careers in this exciting area. SKEMA's strongly international dimension allows students to develop the mindset for working in a globalised business environment.

We have now set up the first Introduction to Artificial Intelligence course in China. This course will become mandatory for all BBA students as of fall 2021.

This specialisation includes modules on: programming with Python and R, databases, machine learning, ethics in database use. 


At the end of this track our students will have great job opportunities in the growing world of AI, being able from one side to understand methodologies and technical challenges of this emerging technology and, from the other one, to interpret managers’ needs and provide them with the most suitable solutions. 

  • Data analyst
  • AI officer
  • Data designer
  • Ethics officer
  • Data protection officer
  • ... and many, many more

Follow-up studies

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