Department of Technology of Information and Communication
Presentation of the department TIC
Engineering training in ENIT’s ICT Department is carried out in close collaboration with industry players in the field of ICT and their applications.
Industrialists are thus solicited in a progressive way to:
- To give conferences on topical topics in 1st year
- Intervene in some courses in 2nd year
- Intervene strongly in each 3rd year thematic course
- Offer internships, PFA and PFE in relation with their immediate or future interest
As an international opening, some engineering students realize their IEPs in foreign university or industrial research laboratories.
The department has a number of collaborations with renowned French engineering schools in the form of double Diplomation (DD) or Exchange *:
- IMT Atlantic Brittany-Pays de la Loire (DD with Telecoms)
- Grenoble INP-PHELMA (DD with Telecoms)
- Grenoble INP-ENSIMAG (Exchange with Information)
- INP TOULOUSE-ENSEEIHTENSEEIHT (DD with Telecoms and Exchange with Computer Science)
- Polytech-Nantes (DD with Computing)
The Computer Science Department of ENIT aims to train Engineers capable of implementing strong scientific, technical and professional skills in the field of information technology in particular, and Information and Communication Technologies in general. , to support the needs of organizations and companies in the support of their information systems through the design, implementation, implementation and supervision of different hardware and software architectures.
Given the content of the training and its environment, the Engineer in the IT sector of ENIT is able to adapt to the specificities of different sectors of activity in which it is brought to make its contribution, including:
- Information Systems Engineering within organizations and companies in different economic sectors: administrations, industries, banks, insurance companies, service companies and computer engineering, …
- Data Engineering responding to a growing demand in different sectors handling gigantic amounts of data: banks, insurance companies, transport companies, telecommunications operators, retailers, … It requires the implementation of scientific, technical approaches and new technologies to feed decision-making structures for better decision-making and strategic choices for the company.