Discover our 6 engineering degree specializations
Télécom Saint-Etienne offers 6 specializations in its engineering program. The choice of specialization is made in the final year of training, after having studied each of them in the core curriculum.
Cybersecurity
This track trains engineers with a global vision of the
information system, both in terms of its network/telecom architecture and its system/infra architecture, and with a grounding in development so as to be able to understand IS security in its entirety. Students will be able to analyze security issues and design a robust, high-performance technical architecture, integrating security and availability constraints as well as responsible digital and energy-saving aspects.
Careers: Cybersecurity engineer, Security architect/project manager, Cybersecurity integrator, Systems engineer, Network engineer, SOC analyst …
Digital technology must be thought out and used responsibly : ethical data management and social engineering to address cybersecurity as a whole and not just from a technical point of view.
Image and Artificial Intelligence
You will learn to develop applications or software components combining “computer vision” and “machine learning”. You will be able to choose and adapt AI methods, train these models with image or more generally multimodal data, and implement these algorithms in connected objects or systems, as required.
Careers: Computer vision/deep learning engineer, Research and development engineer, AI/machine learning engineer, Image processing and AI engineer …
The applications of the future must be developed using a reasoned approach: limiting the resources required, optimizing approaches and developing frugal Artificial Intelligences.
Software architecture
The aim of this course is to prepare engineers capable of designing, implementing, deploying and maintaining complete software applications. These engineers will be involved in creating the user interface (front-end), implementing the server and database (back-end), processing data, automating infrastructure deployment (devops), and managing these various tasks.
Careers: devops engineer, cloud engineer, development designer, technical leader, product owner, project manager, agile coach, etc.
Towards “thrifty” software and socially inclusive work practices: implementing knowledge sharing and transmission practices.
Embedded Systems
This course trains engineers capable of designing and building a complete embedded electronic system (hardware and software aspects) for current and future applications (in particular, embedded AI and EDGE computing), taking into account stringent constraints (eco-design, reliability, cost, performance, software and hardware security, etc.).
Careers: Embedded electronics engineer, Embedded Artificial Intelligence engineer, FPGA designer, SoC development engineer, etc.
Design-for-longevity helps to limit programmed obsolescence: just as we update the software on our computers, we need to be able to update the hardware to give our devices a longer life than is currently the case.
Engineering and Modeling of Photonic Solutions
This course will enable you to design, model and characterize innovative photonic solutions. Photonics, the study of photons and light, offers vast potential for innovation. Light can be used to capture, display or transmit information, as well as to illuminate, cut and more. It has applications in energy, medicine, telecoms, the environment and more. Photonics thus represents a key field for future technological developments.
Careers: Research and development engineer, project engineer, laser solutions engineer, AI engineer applied to optical systems, photonics solutions engineer…
Surface engineering can be used to create environmentally-friendly applications: light engineering can be used to structure surfaces to reduce mechanical friction, or to create intelligent windows that let light in or out.
Digital Imaging Systems
In this course, you will learn how to design and integrate a machine vision system, i.e. choose hardware components (lighting, optics, sensors, processing systems) and software, adapt them and integrate them into an automated acquisition, processing or analysis chain.
Careers: Machine vision project engineer, Image processing engineer, Machine vision R&D engineer, 3D imaging prototype development engineer, etc.
Artificial vision is being used to support sustainable development and social responsibility: vision systems are being used to sort waste and aid medical diagnosis.
