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Devenez expert en Intelligence artificielle

MSc Artificial Intelligence for Business Transformation (AIBT) Bac+5


Our students get the benefit of a cutting-edge and original program thanks to ESIEA’s strong partnership with SKEMA Business School. This unique program combines the expertise and international networks of both schools and delivers a robust mix of engineering and management courses.

The program is delivered entirely in English on ESIEA’s Paris campus. Courses start in September. 

SKEMA Business School is one of France’s leading management schools with campuses in Paris, Lille and Sophia-Antipolis. It has international EQUIS accreditation and is a member of the Conference des Grandes Ecoles. Its Master’s degree is State-accredited.

Although ESIEA and SKEMA Business School provide teaching in specific fields, both schools share common values and teaching methods, focusing on high-level practice, a series of real-life projects for all students, soft-skills and scientific research.


From Information Systems to logistics, customer relationship and human resources, data is everywhere and is just waiting to be analyzed. Managers need an analytical and scientific approach to understand the algorithms they work with in order to translate and explain data to the public and to their co-workers.

Our program aims to train those future managers and ensures they acquire the set of skills they will need to understand, use and develop visualizations and artificial-intelligence-based algorithms. Thanks to this specific and original curriculum, our students can provide the business world with technical and innovative solutions to the issues it faces.

This program enables future engineers and future managers to acquire a dual expertise and an international background. They will develop a strong team-spirit, human and social skills, curiosity, project works, a strong ability to solve technical issues and manage AI-based projects.

Program and ECTS

Artificial Intelligence, Challenges and Tools, Introduction to Data Science

Awareness of the economic impact of digital disruption. Understanding opportunities and connections in the data processing chain for value creation.

2 credits, taught by ESIEA

Overview of the Existing System

Analysis and visualization solutions and techniques. Knowledge of the main algorithms and structures, neural networks, machine learning, deep learning. Keeping up to date with the latest technological developments.

4 credits, taught by ESIEA /SKEMA

Business Solutions Management

Mastering the ecosystems and tools, project management and legal aspects (RGPD)

2 credits, taught by ESIEA

Advanced Management and Implementation of Solutions

Understanding the techniques of real-time data analysis (log processing). Knowledge of blockchain. Ensuring data quality and governance.

2 credits, taught by ESIEA /SKEMA

Cloud Computing

Understanding the concept of virtualization. Knowledge of the different architectures: public, private, hybrid cloud. Awareness of the issues of confidentiality, sovereignty and costs.

1 credit, taught by ESIEA

Preparation for writing the MSc thesis + identification, qualification, analysis of information and developments in AI 

(Group project with feedback throughout the two semesters)

2 credits, taught by SKEMA

Big Data Architectures

Spark, Hadoop, MapReduce

2 credits, taught by ESIEA

Smart Home 

2 credits, taught by ESIEA

Cyber Security 

2 credits, taught by ESIEA

Spring semester, 30 credits

Corporate Strategy, Law and Ethics 

5 credits, taught by SKEMA

Change Management

2 credits, taught by ESIEA /SKEMA

Digital Consulting / Consulting Methods

2 credits, taught by ESIEA /SKEMA

Start-up / Creativity / Entrepreneurship  

2 credits, taught by SKEMA

Group project over the year, provided by companies, mentoring 

5 credits, taught by various companies

In-company modules 

  • Microsoft
  • Acticall / AI client experience
  • IBM / Watson Application
  • Accenture
  • Devoteam
  • Facebook
2 credits each, taught by various companies

Teaching areas

1) Artificial Intelligence
Understanding the basic mechanisms of AI and what is at stake with its development. Understanding the different tools, platforms and algorithms used in AI. Selecting the right solution, platform or algorithm to solve an issue. Gathering information and keeping informed regarding the development of AI.

2) Change management and Project Management

3) Cybersecurity
Understanding the risks and the impact of cybersecurity on businesses (with the help and expertise of a set of specialists and professionals). Managing the various aspects of cybersecurity and handling secret information.

4) General skills
Social skills, communication and teamwork, creativity, innovation.

5) Ethics and International legal issues

Who can apply?

  • The 1-year MSc program is open to students with a 4 -year higher education degree 
  • The 2-year MSc program is open to students with a Bachelor’s Degree (3 years of higher-education)


Each annual student intake is limited. ESIEA encourages potential applicants to apply as soon as possible.


Research Director, Full Professor, HDR

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