Through internships and work-study programs, students in the joint degrees of Mines Paris – PSL / Albert School apply their skills in data science, artificial intelligence, and management to concrete business projects. These professional experiences allow them to confront their acquired knowledge with the realities of the field and develop a dual scientific and managerial competence, whether in finance, industry, consulting, or digital transformation.
The ambition of these programs is to combine science and management, linking theoretical knowledge with the economic and technological challenges of companies. Professional experience is central: internships allow students to discover varied work environments and contribute to operational missions, while work-study in the master's program strengthens this immersion by combining academic training with long-term company experience. Students thus mobilize their knowledge in mathematics, data science, and AI, while developing their understanding of management, finance, and strategy issues.
From the Bachelor's level, students can apply their learning in companies across various sectors, with missions covering data analysis, consulting, finance, and AI-driven transformation. Students such as Madeleine (class of 2024) at Edmond de Rothschild, Balthazar (class of 2025) at BNP Paribas, Lior (class of 2025) at Generali, and Suzon at CMA CGM, have already completed their internships. In the master's program, Oussama (class of 2023) interned at Airbnb, and Serban (class of 2025) at UniCredit, illustrating the diversity of applications for the skills acquired.
Work-study programs, offered in the Data & AI master's degrees, allow for a deeper immersion. Students gain practical field experience while contributing to their host company's projects. Examples like Jonathan at Google, Elisa at Microsoft, Benjamin at Amazon, Camilia and Sarah at Louis Vuitton and Dior, and Côme at L'Oréal, showcase the wide range of possible missions, from business intelligence to data analysis and sustainability challenges.
These experiences, such as Benjamin's at Amazon where he contributed to designing a generative AI tool, or Madeleine's at Edmond de Rothschild focused on systemic research and environmental issues, illustrate how teachings translate into practice within companies and the synergy between technical expertise and understanding organizational needs.
By combining scientific instruction, data science, artificial intelligence, and management, the joint degrees of Mines Paris – PSL / Albert School prepare students to operate at the intersection of technology and economic activities. Internships and work-study programs are essential levers for experimenting with acquired knowledge, refining professional goals, and familiarizing oneself with the challenges faced by businesses.
