Overview

ENSAI’s engineering program includes 6 specialization tracks. All of these courses train students for careers in Data Science, with a mastery of the tools needed to extract, analyze and mine data, and the ability to choose the best ways to process massive data and machine learning techniques. Depending on the specialization, these skills may be domain-specific or cross-disciplinary. All courses continue to train students in soft skills, and in the value of their work in a professional and international context. During English-language courses and methodological projects, students work on all their language and communication skills and deepen their knowledge of the business and research worlds. The Common Core sequence combining scientific teaching, projects, and English concludes the training in autonomy and the ability to implement data analysis in complex situations. A final internship is required at the end of the course, enabling students to apply a scientific approach to a problem in a professional context, in line with the course curriculum.

Even if one of the program’s declared outlets is industry, its hallmark is its cross-disciplinary approach. After completing this specialization, students are able to adapt to issues arising in a wide range of sectors, including industry, banking, the environment, and services. It’s also the ideal path for those intending to work in statistical research and development.