Master in AI & Data Analytics for Business
Program start date | Application deadline |
2025-09-01 | - |
Program Overview
The program offers a blended learning experience with an online summer immersion program, an industry-based hackathon, and a personal laptop included in tuition. Graduates develop skills for careers in data analysis and decision-making, and benefit from a diverse international learning environment and alumni network.
Program Outline
Degree Overview:
The Master in AI & Data Analytics for Business is a program entirely taught in English at IÉSEG School of Management in Lille, France. Its aim is to train AI experts through data analytics, exposing participants to cutting-edge fundamentals in AI and data-driven decision-making. The program emphasizes a data-driven approach to problem-solving, shifting from "What do we think?" (gut feeling) to "What do we know?" (data-driven) using the latest AI solutions. IÉSEG is ranked 8th worldwide in Class & Faculty diversity for this Master's program in the QS Business Masters Rankings 2024. The program director, Dr. Kristof Cousssement, highlights the program as a strategic investment in one's future, emphasizing the international and multicultural learning environment and collaboration with academic and professional staff. An online summer immersion program is included in the tuition fees, allowing students to enhance their AI and data analytics skills before the academic year begins. Students receive a personal laptop with full software included in the tuition fees. A 4-month hackathon with a real-life company provides industry-based learning. The program offers flexibility with a 2- or 3-term option (fast track or regular track). Participants are introduced to the alumni network through meetings and a data science conference. Upon successful completion (120 ECTS), students receive a State-recognized ‘Grade de Master’ (DESMI – Diplôme d’Études Spécialisées en Management International) specializing in “AI & Data Analytics for Business,” registered with the French RNCP (RNCP37390).
Teaching:
The program uses a combination of theoretical learning and practical application. The inclusion of a 4-month hackathon with a real-life company suggests a significant emphasis on hands-on, industry-relevant projects. The program's description highlights the international and multicultural learning environment, implying diverse teaching styles and perspectives from both academic and professional staff. The mention of an online summer immersion program suggests a blended learning approach incorporating online components.
Careers:
Graduates will develop skills in extracting key information from company data within a business context, becoming data-driven decision-makers. Potential career paths include Business Analyst, Business Intelligence Engineer, Data Analyst, Data Engineer, and Data Scientist.
Other:
The program attracts a diverse student body from various regions and backgrounds. Examples of companies involved in the program include Air France KLM, Capgemini, Palantir Technologies, and SAS. Several student testimonials highlight the international dimension of the program, the practical application of coursework through projects, and the relevance of the skills gained to their careers in data analysis and related fields. The program is constantly evolving to stay current with industry trends and provide students with relevant professional experience.