1st-Year Engineer Statistician Curriculum

In the first year of study, the core syllabus is composed of courses in Statistics, Mathematics, Computer Science, Economics, Social Sciences, Languages, and Management. These courses provide an introduction to the basic knowledge and working methods required to obtain a solid foundation in the respective areas. Teaching in the second and third years builds on this knowledge and these methods, exploring them in greater depth. For this reason, and given that a fair portion of these subjects are new to most students, nearly all of the first year is devoted to acquiring and reinforcing the core foundations necessary to become a skilled data scientist.

Moreover, in order to ensure that all students have the same level by the end of the first year, it is necessary to differentiate between the students arriving from different selection routes. For this reason, depending on their backgrounds, some students have more classes in Mathematics, Probability and Statistics while others have more classes in Economics and Computer Science. Students learn to apply their knowledge acquired during this first, crucial year of study through a group project in Statistics as well as a project in Economic Theory. Professionals as well as permanent ENSAI teachers supervise these projects.