-
GRADUATE STUDIES
- • STUDYING AT MANUTECH SLEIGHT
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MSc in Optics, Image, Vision, Multimedia (OIVM)
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iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
- PSRS - Partner universities
- RADMEP - Radiation and its Effects on MicroElectronics and Photonics Technologies
- COSI - Computational Colour and Spectral Imaging
- IMLEX - Imaging & Light in Extended Reality
- AIMA - Advanced Imaging & Material Appearance
- PE - Photonics Engineering
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iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
- MSc in Computer Science
- MSc in Health Engineering
- Engineering schools' research tracks
- Doctoral studies
- Training through research
- Opportunities
- Admission and aid
- OPTICA student chapter
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RESEARCH & INNOVATION
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SCIENTIFIC EVENTS
- • News and about
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The SLEIGHT Science Events
- SSE #13 - SLEIGHT in 2025
- SSE #12 - Imaging in Manutech-SLEIGHT
- SSE #11 - SLEIGHT in 2024
- SSE #10 - Sustainable Surface Engineering
- SSE #09 - SLEIGHT in 2023
- SSE #08 - Photonics for Health
- SSE #07 - SLEIGHT in 2022
- SSE #06 - Machine Learning
- SSE #05 - SLEIGHT in 2021
- SSE #03 - SLEIGHT in 2020
- SSE #02 - Material Appearance
- SSE #01 - Topics and stakeholders
- Manutech-SLEIGHT Awards
- Scientific conferences
- Events in partnership with Manutech-SLEIGHT
- CAMPUS LIFE
- ABOUT US
- NEWSLETTER
The aim of the DSC track is to train specialists capable of responding to the problems of data massification and the interconnection of computer systems and communicating objects linked to the current digital metamorphosis (web, Internet of Things, big data) by mastering the processing chain from raw data to its analysis, as well as its use in interconnected intelligent systems. However, it is important to point out that the aim of this track is to train computer scientists. Therefore, part of the teaching goes in this direction by offering advanced courses in algorithms, programming and project management.
RESEARCH AREAS
- Web Programming
- Semantic Web
- Multi-agent Systems
- Machine Learning
- Data Mining
- Artificial Intelligence.
PREREQUISITES
The prerequisites are the skills acquired in a BSc in Computer science:
- Algorithm Design and Analysis
- Automata and Language Theory
- C Programming
- Object Oriented Programming (Java, Python)
- Internet Programming
- Databases (SQL, Conceptual Modeling)
- Graph Theory
- Statistics
- Linear Algebra
EMPLOYABILITY
- Full Stack Programmer
- Project Manager
- BI consultant
- Big Data architect
- Data Analyst
SUCCESS STORIES
Yossef Benzeghadi
Current position: Game Analytics Manager
Company: Ubisoft Bordeaux Studio
Town – Country: Bordeaux, France
Current position: Game Analytics Manager
Company: Ubisoft Bordeaux Studio
Town – Country: Bordeaux, France
Julien Bourdon-Miyamoto
Current position: Machine Learning Engineering Manager
Company: Facebook
Town – Country: London, UK
Current position: Machine Learning Engineering Manager
Company: Facebook
Town – Country: London, UK
Kevin Vocanson
Current position: Software Architect – R&D
Company: SAM Outillage
Town – Country: Saint-Etienne, France
Current position: Software Architect – R&D
Company: SAM Outillage
Town – Country: Saint-Etienne, France
MSc in Computer Science -
DCS Track
COORDINATORS
1st Year
François JACQUENET
2nd year
Baptiste JEUDY
Antoine ZIMMERMAN
ADMINISTRATIVE CONTACT
manufacture.scolarite@univ-st-etienne.fr
WEBSITE
depinfo.univ-st-etienne.fr
(Beware: the webpage is in French)
1st Year
François JACQUENET
2nd year
Baptiste JEUDY
Antoine ZIMMERMAN
ADMINISTRATIVE CONTACT
manufacture.scolarite@univ-st-etienne.fr
WEBSITE
depinfo.univ-st-etienne.fr
(Beware: the webpage is in French)
Teaching
Languages: English (50%) – French (50%)
Number of semesters: 4
Credits: 120 ECTS
Country:
Download the brochure
Number of semesters: 4
Credits: 120 ECTS
Country:
Download the brochure
Tuition
≈ 250 € per academic year
Application
For candidates from countries covered by the procedure “Etudes en France”:
campusfrance.org/
For other candidates:
candidatures2.univ-st-etienne.fr
campusfrance.org/
For other candidates:
candidatures2.univ-st-etienne.fr