Skema > Programmes > MSc > MSc Artificial Intelligence for Business Transformation

MASTER OF SCIENCEArtificial Intelligence for Business Transformation




​​​​​​​​​​​​​CampusGrand Paris Campus
Intake: September 
Language: English 

Programme taught by both a business and an engineering school

This programme trains professionals who understand the inner workings of artificial intelligence, its capabilities and limits as well as understanding the meaningful creation of value for organisations. 
​​​Courses are delivered by SKEMA professors; these mainly focus on AI algorithms, computer programming, IT infrastructure for AI, management of AI and applied projects in data science and AI with our industry partners such as Microsoft.

Some students in this programme have an engineering background but seek to be trained to meet the specific challenges of managing AI; others have solid managerial training or experience and seek technical skills to truly understand AI. We also welcome students who do not match either of these profiles but who are highly motivated self-learners with a genuine interest in both the technical and managerial aspects of AI.

We equip students with the practical technical skills and the critical managerial competencies to become effective leaders in the exciting, ever-changing world that AI offers.

Key facts

This MSc in business and AI is a full-time programme with eight months of courses followed by work experience or a research project.

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Campus for SKEMA's master's in AI and business Paris view  

ESIEA engineering school


This is a joint degree with ESIEA which is specialised in digital science and technology and has more than 1,300 students. It has two campuses in France, in Paris and Laval.

The school is a member of the Conférence des Grandes Écoles (CGE) and awards a master's level engineering degree approved by the Commission des Titres d'Ingénieur (CTI).

Its teaching is based on active learning, projects, personal development, and research.

What makes this MSc in artificial intelligence stand out?

  • Technical and managerial
    You will develop detailed technical skills and in-depth managerial competencies

  • Contemporary technologies
    Students learn multiple contemporary AI technologies: machine learning, deep learning, natural language processing, R, Python, Microsoft Power Platform, and other low-code AI programming technologies

  • Professional certification​
    Training for AgilePM® certification (most students pass the examination)

  • Real and practical
    Real projects with real companies such as Microsoft

  • Networking​
    Beyond scheduled courses, there are additional conferences, seminars, company visits and other experiences with industry experts.​

  • Study trip
    ​​​​​​Three- or four-day study trip to visit companies working in AI and meet AI managers and experts. Students also take part in team activities and workshops during these study trips. Travelling and accommodation is paid for by SKEMA. ​


​Students acquire skills:

  • Contemporary AI challenges and opportunities for organisations

  • Machine learning and advanced AI programming in Python

  • Data science programming with R

  • AI infrastructure: data management, big data, cloud computing, cyber security, etc.

  • Business intelligence, management of AI, ethics and project management

  • Data science and AI projects with real data and real companies

  • Business-oriented research projects with artificial intelligence

  • Soft skills: relational, multidisciplinary team management and communication, creativity, innovation in solutions

​About the degree

By joining an MSc, students obtain a master of science degree and the "Diploma of Specialised Studies in International Management" (DESMI), a degree approved by France's Ministry of Higher Education, Research and Innovation (master's level. More info - text in French). 

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The mission of SKEMA AI School for Business is to advance artificial intelligence research and pedagogical experiences to prepare the managers of the future to work in an AI-enabled environment. It aims to impart a wide range of AI fundamentals and managerial perspectives to students and leaders from different fields.

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