| Program start date | Application deadline |
| 2025-09-01 | 2025-06-01 |
Program Overview
Master in AI & Data Analytics for Business
Overview
The Master in AI & Data Analytics for Business is a program completely taught in English which aims at training AI experts through data analytics.
The Master in AI & Data Analytics for Business is a program completely taught in English which aims at training AI experts through data analytics.
Participants are exposed to the leading-edge fundamentals in AI and data-driven decision-making. They will learn how to solve managerial problems by critically asking questions in the spirit of ‘What do we know?’ (data-driven) rather than ‘What do we think? (gut feeling), while solving them with the latest AI solutions.
QS Business Masters Rankings 2024: IÉSEG is ranked 8th worldwide in Class & Faculty diversity for its Master in AI & Data Analytics for Business.
Program Content
The Master in AI & Data Analytics for Business is designed to help participants spotting the business challenges that are solvable with the AI methods and tools by converting data into valuable insights.
The program is offered on a full-time basis and consists of two (fast track) or three (regular track) academic semesters followed by an internship or master thesis semester. The academic semesters are developed around core courses in business, technology, and methodology in the field of AI and data analytics.
All academic semesters are on premise, except the second part of the third semester of the regular track which starts in August and is delivered in an asynchronous mode. This allows participants to start their internship or master thesis semester in early September.
In a connected world, data provides companies with the opportunity to align their decision-making strategy with objective facts and figures. Participants will learn how to become data scientists, and will be able to spot analytical opportunities for a given business context.
Key Program Advantages
- All participants are offered an online summer immersion program included in their tuition fees allowing them to sharpen their AI and data analytics skills over the summer preceding the start of the academic year.
- Participants are exposed to leading AI and data science methodologies and technologies. This program offers a modern and state-of-the-art stack of courses fully aligned with today’s company requirements.
- Participants in this program will receive a personal laptop included in their tuition fees. They will receive it at the beginning of the academic year with a full software roll-out, and keep it after the end of the program to facilitate the start of their professional career
- Participants are exposed to industry-based learning through a 4-month hackathon with a real-life company.
- Flexibility to follow a 2- or 3-term academic program as the program offers a fast track or regular track, depending on the applicant’s academic background.
- Participants in this program will be introduced to the Master in AI & Data Analytics for Business alumni network through dedicated inspiration meetings with alumni and a large alumni-driven data science conference
Master Degree
Upon successful completion of the program (120 ECTS), students get the State-recognized ‘Grade de Master’ for this Postgraduate program (“DESMI – Diplôme d’Études Spécialisées en Management International”) , with the specialization “AI & Data Analytics for Business”.
The degree is delivered by the French Ministry of Higher Education and Research, and registered with the French RNCP (the National Registry of Professional Certification) under the number RNCP37390.
Career Opportunities
This program is a good fit if you are interested in working as, for example:
- Business Analyst
- Business Intelligence Engineer
- Data Analyst
- Data Engineer
- Data Scientist
Director’s Foreword
Dr.Kristof COUSSEMENT
Academic Director, Professor of Business Analytics
Unlocking the power of data is the key to navigating today’s dynamic business landscape. In an era defined by AI and cutting-edge analytics, mastering these tools is essential for carving out a successful career. The Master in AI & Data Analytics for Business equips participants with the skills to tackle the AI & data-driven challenges needed to create value in a variety of industries.
This program isn’t just a credential—it’s a strategic investment in your future! Over your academic terms, you will immerse yourself in an international and multi-cultural environment, collaborating with academic and professional staff and peers from diverse backgrounds. This global perspective enriches both your professional wisdom and personal growth, ensuring an invaluable experience that extends far beyond graduation.
IÉSEG School of Management is a leading French business school that prepares changemakers to contribute to the development of responsible, innovative, and humanistic companies in a highly international context.
Founded in 1964, IÉSEG is a non-profit association under the French law of 1901. It is a member of the Université Catholique de Lille, the Conférence des Grandes Écoles, and the FESIC (Federation of Higher Education
Institutions of Collective Interest).
The school's governance is structured around three main bodies:
- Board of Trustees: Composed of personalities from the socio-economic world, it has an essential supervisory function and defines the school's strategy.
- Management Board: Responsible for the operational management of the school.
- Academic Board: Ensures the academic quality and coherence of the programs.
IÉSEG offers a range of programs, including Bachelor's, Master's , and MBA all designed to provide an international and multicultural learning experience. The school emphasizes ethical leadership, innovation, and social responsibility in its curriculum.
With campuses in Lille and Paris-La Défense, IÉSEG provides students with access to vibrant academic and professional environments.
The Master in AI & Data Analytics for Business program caters to prospects who already hold a bachelor’s degree in Business Administration, Engineering, Computer Science, IT, Mathematics, Statistics or similar, and interested in a new and expanding field.
A good command of English; English Proficiency test for non-native speakers: IELTS Academic 6.5, TOEFL IBT 85, TOEIC 4 skills 850, Duolingo 115, Cambridge Exam B2.
