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.
This MSc is a CGE-accredited, full-time programme with
eight months of courses followed by work experience or a research
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.
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
Students learn multiple contemporary AI technologies: R, Python, Microsoft Power Platform, and other low-code AI technologies
Training for AgilePM® certification (most students pass the examination)
Real and practical
Real projects with real companies such as Microsoft
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