The Ingénierie Informatique & Intelligence Artificielle – Option Intelligence Artificielle & Big Data program at HESTIM trains engineers to unlock the value of data, design intelligent solutions and support organizations in their digital transformation projects.

As organizations generate and use ever-growing volumes of data, this option addresses the increasing demand for professionals capable of analyzing, structuring, interpreting and leveraging data to support decision-making, automate processes and create new digital services.

The Intelligence Artificielle & Big Data enables students to develop advanced skills in data science, machine learning, deep learning, Big Data, business intelligence, data governance and the deployment of intelligent solutions.

It builds on a common foundation in computer engineering, complemented by specialized courses that enable future engineers to master technologies and methods related to artificial intelligence and large-scale data processing. The curriculum includes a general foundation in computer engineering, management and soft skills, complemented by a specialized Artificial Intelligence & Big Data module. 

Students learn to collect, organize, analyze and interpret data from a variety of sources. They also develop skills in intelligent algorithm design, machine learning, deep learning, data visualization and decision-support solutions.

This option emphasizes the ability to transform data into actionable information, automate tasks, identify trends, anticipate behaviors and support organizations in strategic decision-making.

It prepares future engineers to work across a wide range of sectors, including finance, industry, healthcare, commerce, marketing, telecommunications, logistics, digital services and public administration.

Immersive, Innovation-Driven Learning 

The program is based on active learning, combining core academic courses, practical work, applied projects, case studies and professional simulations.

Dans l’option Intelligence Artificielle & Big Data, students work on practical challenges involving data collection, processing, analysis and value creation.

Projects may involve predictive analytics, data segmentation, the creation of business intelligence dashboards, process automation, machine learning model development and large-scale data processing.

This approach enables students to develop a practical understanding of data and artificial intelligence challenges while strengthening their autonomy, analytical thinking and ability to propose solutions tailored to organizations’ real needs.

Curriculum