Technology of semiconductor devices master's program aims to bridge the gaps between physical, technological, and system aspects in micro-nano electronics and photonics.
The curriculum consists of ten teaching units, delivered through lectures and hands-on laboratory sessions, two of which are elective. The program concludes with a mandatory research internship carried out in either an academic or industrial laboratory.
Information
Skills
- Design semiconductor-based components for high-speed electronics and optoelectronics, radio-frequency applications, and photonics.
- Dimension and analyze systems based on assemblies of high-speed components.
- Identify key physical phenomena within components to optimize their performance.
- Master micro- and nanofabrication techniques for semiconductor devices.
- Interpret scientific literature to conduct experiments aimed at research, innovation, and knowledge creation.
- Present and defend research findings, both in written form and through oral presentations.
Objectives
The program aims to provide training that bridges the gaps between physical principles and system-level aspects across various fields and emerging challenges, such as communications, fast instrumentation, embedded systems, environmental technologies, artificial intelligence, and quantum technologies.
Career Opportunities
Career prospects
After a Master's or Master's + PhD: engineer (R&D, control, production, etc.)
After a Master's + PhD: researcher or lecturer
After a Master's or Master's + PhD: engineer (Research & Development, control, production, etc.)
After a Master’s degree: Research analyst
R&D Engineer
design study engineer
Consulting
Commercial
Design engineer in the industrial sector
Design engineer in the research / scientific sector
Design engineer industry / public research
Research or Design Engineer
Lecturer (after a PhD)
Research Engineer
Design engineer
Further Study Opportunities
R&D researcher or data modelling and analysis expert in leading-edge companies or laboratories.
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
PhD
Engineering, research and development
PhD thesis
Calendar
Capacity
Available Places
Target Audience and Entry Requirements
Master 1 in electrical engineering, physics, engineering student or equivalent.
Application Period(s)
From 30/01/2026 to 12/07/2026
Supporting documents
Compulsory supporting documents
Copy of identity document.
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Certificate of English level.
Curriculum Vitae.
Additional supporting documents
Other diplomas.
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Micro and Nanofabrication of Semiconductor Devices | 6 | Semestre 1 | 27 | 40 | |||||||
| Technology and Design of Integrated Microwave and RF Circuits | 5 | Semestre 1 | 27 | 20 | |||||||
| Solid states devices | 3 | Semestre 1 | 30 | ||||||||
| Optoelectronics | 3 | Semestre 1 | 30 | ||||||||
| Integrated optics and Nanophotonics | 3 | Semestre 1 | 30 | ||||||||
| THz semiconductor components | 3 | Semestre 1 | 30 | ||||||||
| Circuit nanoarchitecture and deep learning | 3 | Semestre 1 | 18 | 12 | |||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Research Project | 3 | Semestre 1 | 27 | ||||||||
| Technological Project | 3 | Semestre 1 | 27 | ||||||||
| Photonic Integration Functions | 3 | Semestre 1 | 30 | ||||||||
| Advanced and Next-Generation Optical Transmission Systems | 3 | Semestre 1 | 18 | 12 | |||||||
| UE libre Catalogue S1 | 2.5 | Semestre 1 | |||||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| TDS internship | 28 | Semestre 2 | |||||||||
Training campus
Saclay Moulon
