Formation
The laboratory members are also involved in several courses at the three affiliated institutions, where they are largely responsible for organizing teaching programs.
Master’s degree in Mathematics and IT complex and distributed systems
Master’s degree in Data Science Engineering EN
Data science is a scientific discipline which appeared in the last ten years and which is expected to trigger a major societal change, impacting a wide range of industries, including robotics, digital humanities, logistics, home robotics, e-commerce, finance and healthcare.
The transformation is based on the growth of capture mechanisms, the ubiquity of connected objects and the internet of things (iot), which enable the acquisition of massive data (big data).
These ever-increasing quantities of data represent an asset to be explored, selected, screened and interpreted in order to provide knowledge.
This ability to retrieve knowledge from data may be a vector of innovation and value in the very short run, as well as in the long term.
In this context, the data science curriculum of the data science and engineering master's degree aims to train engineers and researchers in data science in a range of industries such as software publishing, internet and e-commerce, civil services, automotive, high-tech, finance, or biomedical. EN
Master’s degree in IT, Web Engineering, Connected Objects and Complex Systems
Master’s degree in Computer Science Engineering: Theory and Applications
The Master’s degree in Computer Science Engineering curriculum provides training in and through research in theoretical computer science.
The curriculum covers both theoretical computer science and its applications.
The training offers balance between these two aspects, including research theory and one or more of its specific applications: automata and reliability, systems and computing, bioinformatics, cryptography, in all core courses.
Master’s degree in Bioinformatics
- The Master's degree objective is to train engineers in bioinformatics and biostatistics specialized in management, processing and sequencing and massive data analysis in biology, resulting from these new experimental approaches on a very large scale (“omic” technologies).
- A three-year curriculum: The multidisciplinary expertise of our graduates, at the junction of life sciences, computer science and mathematics, is achieved through a unique, challenging and gradual program. The Master of Science is completed over a two-year work-study program under employment contract (apprenticeship or professional training).
Master’s degree in Health Engineering, Biomedical Engineering
The biomedical engineering curriculum of the Master's degree in Health Engineering focuses on health data processing and healthcare systems. It aims to train engineers, autonomous and multi-skilled project managers, equipped with competencies in biomedical techniques and healthcare data processing.
The curriculum also includes management and biomedical device maintenance.
Engineers play a key role as a bridge between two different environments: medicine and engineering and technology industries. In order to design appropriate systems to address issues, they are able to combine a comprehensive knowledge of the medicine, the hospital or the research culture with the information processing methodology.
Master’s degree in Science and Data Engineering, Computer Engineering Mobile and Embedded Systems
At the interface of software and hardware aspects, the Mobile and Embedded Intelligent Systems (SIME) track of the Master's in Data Science and Engineering (SID) aims to train engineers capable of leading projects that integrate the most advanced technologies in terms of networking, mobile devices, real-time embedded computing, and artificial intelligence.
In the era of smartphones, connected smart objects, and the Internet of Things, there are numerous sectors involved.
These include mobile health, education, the silver economy, security, as well as control, communication, aerospace, naval, robotics, transportation, energy, cloud computing, nuclear, military, etc.
Master in Computing Systems Safety
Master’s degree in Software Computing Science Engineering
The aim of the Master’s degree in Software Computing Science Engineering is to provide students with the relevant academic and professional tools enabling them to address, in an efficient way, the ever-increasing needs of complex software solutions.
Master’s degree in Software Computing Science Engineering
The aim of the Master’s degree in Software Computing Science Engineering is to provide students with the relevant academic and professional tools enabling them to address, in an efficient way, the ever-increasing needs of complex software solutions.
Medicine Faculty Teaching
