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Are you in CPGE, BUT2, BUT 3 or a Bachelor's degree? Discover our 6 specialization courses.

Join our engineering training program and build your career path according to your desires.

Our areas of scientific excellence :

  • Data engineering, artificial intelligence
  • On-board electronics
  • Digital imaging (augmented virtual reality)
  • Networks and telecoms, infrastructure and services
  • Laser physics, photonics, surface engineering

The core curriculum enables students to acquire the fundamental concepts needed for Information and Communication Technology Sciences and the engineering profession.

Each pathway is designed to cover 2 to 3 scientific fields, thus providing a multi-skilled training programme.

  • Course 1 – Software architecture
    IT, telecom networks
  • Track 2 – Cybersecurity
    Telecoms networks, info, electronics – Work-study program
  • Route 3 – Embedded systems
    Electronics, info, telecom networks
  • Pathway 4 – Engineering and modelling of photonic solutions
    Optics, computer science
  • Course 5 – Image & lA
    Image vision, info
  • Course 6 – Digital imaging systems
    Optics, Image vision

Your 1st year will consist of a core curriculum and an introduction to the school’s themes.

Semester 5

Common core Physics and measurements
Electromagnetic fields in vacuum
Electromagnetism in matter
Metrology and sensors

Fundamental Mathematics
Probability
Numerical Computation
Deterministic Signal Processing

From optics to digital
General introduction to Optics Photonics
Vision engineering: Introduction
Acquisition chain: Analysis of 1st stages

Numerics and transmission
C language, algorithms and data structures
Computer systems architecture
Network basics
Telecommunications principles

Engineering, business and society
Sustainable development objectives
Interpersonal communication
Societal, civic and civil responsibility

Refresher course before the start of the year
Essential math basics

Semester 6

Statistics, Signals and Automatics
Statistics
Discrete and Random Signals
Regulation and servo control

Numerics and transmission
Object-oriented programming
GIT
Basics of modulation and coding
Antennas
Introduction to operating systems
Introduction to the Web
Cybersecurity basics
Algorithms and data structures

From optics to digital
Acquisition chain: Designing the digital processing unit
Optics project
Image analysis: Introduction

Engineering, business and society
Anthropocene
Job search techniques
Team management and conflict management
Dealing with discriminatory situations
Empowerment, prevention and combating violence

Operational training
Career guidance

In 2nd year, choose your specialization from our 6 options.

Semester 7

Common core

AI fundamentals
Estimation
Optimization
Deep Learning principles and image applications
Python and data science

Optics, digital and transmission
Chain of acquisition: Learning through experimentation
Transmission media
Network and digital services
Database
Software engineering and agile methods
Introduction to semiconductors
Guided and integrated optics

Project
Digital simplicity
Project management
Application project

Block 1 according to path
Specialty courses

Transition to courses 1, 2 and 3
From hardware architecture to system programming under embedded Linux
Software engineering and continuous integration
Operating systems: system programming
Web development
Switching & routing
Scripting system
Virtualization

Transition to paths 4, 5 and 6
3D artificial vision
Color
Sources
Detectors
Optoelectronic components

Semester 8

Common core

Engineering, business and society
Project communication
Finance
Intellectual property and business law
Bibliographic research
Project management

Responsible engineering
Engineering projects
Eco-design
Ethics

Optional element
Self-initiated internship (SIP)

Block 2 According to course

Course 1 – Software architecture

DEVOPS (1)
Java (1)
Front web development
Distributed applications (1)
Devops project
Containerization (1)
Command line interface
Continuous integration

DATA SCIENCE and ENGINEERING (1)
Relational and non-relational persistence solutions
Machine Learning
Advanced Deep Learning

SOFTWARE ENGINEERING
Advanced algorithms and design patterns
Advanced algorithms and multithreading

Track 2 – Cybersecurity

SYSTEMS AND IS
Hyperconvergence
Security and OT/IT convergence
Architecture and administration of system and network services
Automation and orchestration
Digital project manager

NETWORKS
Convergence and QoS
Protocols and advanced routing
Network security

TELECOMS
Advanced modulations and coding
Advanced antennas
Wireless networks

Pathway 3 – Embedded systems

Acquisition, processing and transmission
Information acquisition and transmission
VHDL Advanced
Frequency synthesis
FPGA design for signal processing

Programmable systems
Microcontroller-based embedded systems
Embedded OS

Pathway 4 – Engineering and modelling of photonic solutions

Light matter interaction
Wave optics
Materials characterization
Polarimetry and ellipsometry
Laser
Photonics week
Experimental optics
Optics and computer science project

Digital Science for Physics (1)
Machine Learning
Solving inverse problems
Numerical implementation of physical models

Course 5 – Image and AI

Image Science (1)
Advanced Image Analysis
Image Description
Image and Machine Learning Project (1)

Data Science (1)
Algorithms for data science
Machine Learning
Advanced Deep Learning

Route 6 – Digital imaging systems

Image and vision
Advanced vision engineering
Machine Learning
Image analysis signal approach
Project Optics – Image

Optics and characterization
Wave optics
Fourier optics
Polarized light
Interferometric characterization and measurement
Experimental optics

Semester 9

Common core

Engineering, business and society
Group creativity
Marketing
Job interview simulation
Finance
Strategy and innovation

Block 3 According to course

Course 1 – Software architecture

DEVOPS
Distributed applications (2)
Advanced Java (2)
Startup project
Cloud Computing
Continuous deployment
Containerization (2)

DATA SCIENCE and ENGINEERING (2)
Machine Learning for structured or multimodal data
Big Data Technologies
Big Data & Data Science project

Track 2 – Cybersecurity

PENTESTING AND SECOPS
IS technical management
Pentesting RX
Pentesting SYS

IS MANAGEMENT AND SECURITY
Supervision and metrology
Data security
Datacenters
Security organization
Attacks and exploits
Digital responsibility and cybersecurity
Legislative framework, Social Engineering

Pathway 3 – Embedded systems

Advanced functions of embedded systems
Advanced methods for the design of digital systems 20%
Embedded AI 30%
Real-time systems 50%

Design under constraints
Cybersecurity of embedded systems 50%
Eco-design of electronic systems 50%

Pathway 4 – Engineering and modelling of photonic solutions

Energy and the environment
Non-linear optics
Photonics and digital technology for the environment
Intelligent data processing
Bio-photonics and imaging of living organisms
Project optics and computer science

Digital Science for Physics (2)
Implementing Machine Learning
Machine Learning and physics-driven modeling

Course 5 – Image and AI

Image science (2)
Video
3D Perception
Image and Machine Learning Project (2)

Data science (2)
Machine Learning for Complex Data
Generative Models
Advanced Computing for Machine Learning

Route 6 – Digital imaging systems

Image and vision
Advanced vision engineering
Machine Learning
Image analysis signal approach
Project Optics – Image

Optics and characterization
Wave optics
Fourier optics
Polarized light
Interferometric characterization and measurement
Experimental optics

Semester 8

Common core

Engineering, business and society
Project communication
Finance
Intellectual property and business law
Bibliographic research
Project management

Responsible engineering
Engineering project
Eco Design
Ethics

Optional element
Self-initiated internship (SIP)

Block 4 to choose from

(between Deepening or Opening)

Course 1 – Software architecture

Final year internship

Track 2 – Cybersecurity

Cybersecurity
Hardware security
Operator networks
TX security
Data Center project
Eco-design of digital services

Work-linked training
Work-linked training and professionalization (2/2)

Pathway 3 – Embedded systems

Final year internship

Pathway 4 – Engineering and modelling of photonic solutions

Final year internship

Course 5 – Image and AI

Final year internship

Route 6 – Digital imaging systems

Final year internship

Employment sectors

Cybersecurity, Environment, Research, Banking / Finance, Digital Company, Industry, Health, Aeronautics / Aerospace, Energy, Defense, Transport, Web

Career opportunities

  • R&D Engineer
  • Project Manager
  • Consultant
  • Start-up creator
  • Developer
  • Technical expert
hired before graduation
0 %
hired in 6 months
0 %
median gross salary
0 k€
hired internationally
0 %

Admissions

You are in :

Mines-Télécom competition: number of places available

Télécom Saint-Étienne offers 88 places in the 1st year of the engineering cycle under student status to students from the CPGE (Classes Préparatoires aux Grandes Écoles) via the Mines-Télécom competitive entrance examination:

  • MP stream: 33 places
  • MPI stream: 10 places
  • PC stream: 13 places
  • PSI stream: 24 places
  • PT stream: 5 places
  • TSI stream: 3 places

Nature and sequence of tests

Students in preparatory classes are required to apply for the Mines-Télécom competitive entrance examination.

Calendar

To register and enter your wishes, go to:
www.scei-concours.fr

Online registration
MP, MPI, PC, PSI, PT, TSI, BCPST branches: from 07/12/2024 to 13/01/2025 at 12 noon.

List of wishes to be made
Between 01/03/2025 and 25/07/2025 at 12 noon.

Admission tests

After passing the written exams, eligible candidates for the 19 schools in the Mines Télécom competitive exam must sit the 4 oral exams(math, physics or industrial sciences or computer science depending on the stream, English, interview with a panel of judges).

Test calendar

Written exams:
MP, MPI, PC, PSI (Banque Mines-Ponts): April 22-25, 2025
Filière PT: April 24-May 07, 2025
Filière TSI (Banque Centrale Supélec): April 28 to May 02, 2025

Oral exams:
MP, MPI, PC, PSI, PT: June 24 to July 11, 2025
TSI: June 23 to July 05, 2025

Competitive examination: number of places available

Télécom Saint-Étienne is offering 10 places in the 1st year of its student engineering program to applicants from the following backgrounds

  • GOAL 2 or 3 (RT, GEII, MpH, IT)
  • L2 or L3 validated
  • Professional license
  • Foreign diploma of equivalent level

Terms and conditions of the 2025 competition

Registration from 03/02/2025 to 04/05/2025 on our e-candidat website: e-candidat UJM
sections

  1. Telecom Saint-Etienne
  2. ENGINEERING DEGREE
  3. Student Engineer Training – 1st year

Nature and procedure of the competition tests

First stage: Eligibility
The application file is examined by the eligibility panel.

Second stage: Admission tests
Eligible candidates are invited to attend admission tests on Friday June 6, 2025, consisting of a 45-minute MCQ in Math and English and an interview with a panel of judges.
These tests must be held at Télécom Saint-Étienne.

Third step: Confirmation
Admitted candidates must confirm their admission to Télécom Saint-Étienne.

Training fees

As Télécom Saint-Étienne is a public school, the tuition fee for students from the European Community for 2024-2025 is €618 per year.

In accordance with the decree of April 19, 2019 and the decisions voted by the Board of Directors of the Université Jean Monnet, the registration fees for Télécom Saint-Etienne for students from outside the European Community for the year 2024-2025 are €3,879.

Students already enrolled at the Université Jean Monnet in 2023-2024, or on a mobility program with their home institution in 2024-2025, are not affected by these fees.

In addition to these fees, there is the Contribution à la Vie Etudiante et de Campus (CVEC) of €103 for the 2024-2025 academic year.

Internships and projects

Focus on projects

Here’s how it works: in teams of 4-5, engineering students solve real-life business projects.

The first professional experience for our students, the projects take place in 3 stages:

  1. Framing to clarify company expectations, deliverables and project organization: 4 half-days
  2. A1st one-week sprint to launch the project and validate the effectiveness of the company/team collaboration
  3. A2nd production sprint lasting 3 weeks, culminating in the students’ presentation. During this period, the student team works the equivalent of 700 hours, accompanied by a teacher-researcher and a company tutor.

The principle: in teams of 2-3, final-year engineering students explore innovative ideas from companies using the design thinking method.

To carry out these projects, students have access to the school’s cutting-edge laser marking, vision and audiovisual equipment.
The projects take place over 2 3-day creative sprints, supervised by a teacher-researcher.

Double diplomas

Some of the 7 Master’s degrees offered by the school will enable students to broaden their skills, while others will enable them to deepen one of the specialties of their course (possibly with research courses). Special courses such as the “Grandes Écoles” program and the “Diplôme d’Ingénieur de Spécialisation” are also available. Finally, students can take part in international Masters programs in the USA, Canada, China, etc.

Expanding skills :

  • Master’s in Entrepreneurship:
    develop a business start-up/takeover project, learn about the challenges of business, prepare to manage a start-up company, have the opportunity to obtain student-entrepreneur status and carry out an end-of-study internship in your own company.
  • Master of Management and Business Administration (MAE):
    combines specialized know-how with general and operational management skills.
  • Master’s degree in Economic Intelligence and Innovation Management (IEGI):
    meet companies’ new needs in terms of business intelligence and organization of technological change.
  • Master’s degree in Science and Numerics for Health (SNS):
    use the skills acquired in Information and Communication Sciences and Technologies to contribute to the development of tomorrow’s medicine.

Deepen your knowledge of one of the specialization courses (possibly with research courses):

  • Master 3EA course in Electronics and Embedded Systems (ESE):
    develop your knowledge of integrated electronics for embedded systems.
  • Master OIVM Advanced Imaging and Material Appearance (AIMA):
    to develop the knowledge essential for future image processing specialists.
  • Master OIVM Surface and Interface Science and Engineering (SISE) pathway:
    focusing on surface engineering, or Materials Structuring and Component Design (SM2C) pathway to design Photovoltaic and Lighting systems.

Specific training :

  • Institut Mines Télécom Business School’s Grandes Écoles program (Master’s degree) leading to a double engineer/manager diploma (training leading to an additional year at Evry in the engineering curriculum).
  • Specialized engineering diploma
    in security for communications and IT systems or in communications for intelligent transport systems (EURECOM training leading to an additional semester at Sophia Antipolis in the engineering curriculum).
  • Specialized engineering diploma in optical design and instrumentation (IOGS training leading to two additional semesters in Paris, Bordeaux or Saint-Etienne in the engineering curriculum).
  • Institut Mines-Télécom exchange program
  • Specialized engineering diploma in Internet of Things ( ESIROI training leading
    to two additional semesters at Saint Pierre in the engineering curriculum).

International Masters :

USA (4 training courses)

  • Electrical and computer engineering
  • Physics
  • IT
  • Information and management technology

Canada (4 training courses)

  • Master of Organization Management
  • Master of Engineering
  • Master’s degree in Computer Science
  • Master’s Degree in Computer Science – Video Games Option

China (2 courses)

  • Electronics
  • IT

Morocco (8 training courses)

  • E-Management and Business Intelligence
  • Software Engineering
  • Digital Engineering for Finance
  • Web Engineering and Mobile Computing
  • e-logistics engineering
  • Artificial Intelligence Engineering
  • Information Systems Security

Work-study contract

Students in Télécom Saint-Étienne’s FISE program choose their specialization and whether they opt for :

Course 2 – Cybersecurity will be a one-year work-study program.

Course 5 – Image & AI will be taught entirely in English.

The plus: a choice in line with professional ambitions and a desire to open up.

International

As international experience is a prerequisite for their engineering degree, our students have access to nearly 40 mobility agreements, which they can take part in either as part of an internship or as an exchange for a full year or semester at a partner university during their2nd or3rd year of engineering training.

Depending on the destination, scholarships are available to help students finance their mobility.

High-quality teaching provided by teaching researchers and professionals

Over 70% of Télécom Saint-Etienne’s teaching staff are research professors attached to the Hubert Curien Laboratory of Excellence, the Camille Jordan Institute or the Elico research team.

Educational innovation

At Télécom Saint-Etienne, pedagogical innovation is at the heart of our training.

Whether through workshops, the use of agile methods or inverted classrooms, the school’s students learn to diversify their engineering curriculum with teaching methods that are a change from traditional lecture halls and classrooms.

The courses are complemented by the contributions of professionals who bring their expertise from the business world.

Educational innovation

Companies hosting our apprentices

Post-baccalaureate training :

Engineering degree (Bac+3 to Bac+5):

Apprenticeship engineering courses
(Bac+3 to Bac+5):