MASTER OF SCIENCEArtificial Intelligence for Business Transformation

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Introduction

​​​​​A unique programme taught by both a business and an engineering school.

This programme trains professionals who understand the inner workings of AI, its capabilities and limits as well as  understanding the meaningful creation of value for organisations. 

Half of the courses are delivered by our partner ESIEA (“engineering school of the digital world”); these mainly focus on AI algorithms, computer programming, and IT infrastructure for AI. The other half are delivered by SKEMA professors, mainly focussing on the 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 is a CGE-accredited, full-time programme with eight months of courses followed by work experience or a research project.

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ESIEA engineering school


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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 stand out?

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

  • Contemporary technologies
    Students learn multiple contemporary AI technologies: R, Python, Microsoft Power Platform, and other low-code AI 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


​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 AI

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


             

Why choose SKEMA?
At the top of French and international rankings SEE RANKINGS
A global business school SEE SKEMA NEWS
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