Business & strategy

Programme

MSc Artificial Intelligence for Business Transformation

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Practical information

Type of programme

Full time

Duration

1 ou 2 ans

Tuition fees

18 000€ pour le MSc 1 an / 35 000€ pour le MSc en 2 ans

Location

Paris (France)

Langue

English

Start date(s)

September

Admission level

High school + 3 years of study, Bachelor degree

Degree

Master degree

Programme overview

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.

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

  • 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.

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    Logo ESIEA
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    ESIEA

    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

Programme courses

Admissions

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Bienvenue en france
French State Certification label guaranteeing the reception facilities quality offered to international students.
More information here

Financing

2023/2024

Careers

Contact us

 

A team is at your disposal for any further information you may require. 

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Indian subcontinent

JHAVERI Viragi

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Latin America & Western Europe

DI GIROLAMO Pauline

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North Africa & Middle East

FACE Stéphanie

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Sub-Saharan Africa

AYERNOR Harriet

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Yang Jade

China & Northeastern Asia

YANG Jade

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Eastern Europe, Central and Southeast Asia, Oceania

Lu Yongfeng

Last testimonials

  • Testimonial

    MSc Entrepreneurship, Technology and Startup Management

    Jonas Petit

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  • Testimonial

    MSc Entrepreneurship, Technology and Startup Management

    Maxence Padua

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