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GRADUATE STUDIES
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MSc in Optics, Image, Vision, Multimedia (OIVM)
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iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
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- RADMEP - Radiation and its Effects on MicroElectronics and Photonics Technologies
- COSI - Computational Colour and Spectral Imaging
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iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
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RESEARCH & INNOVATION
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The SLEIGHT Science Events
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COSI - Computational Colour & Spectral Imaging
The COSI Erasmus Mundus Joint Master Degree provides an interdisciplinary and innovative training program in a specialised field combining colour and spectral imaging with advanced data science.
The COSI programme trains the next generation of highly-skilled industrial experts in applied colour science, in various cutting-edge industries (photonics, optics, spectral imaging, multimedia technologies, computer graphics and vision) in a diverse range of sectors including multimedia, health care, cosmetics, automotive and agro-food.
The COSI programme trains the next generation of highly-skilled industrial experts in applied colour science, in various cutting-edge industries (photonics, optics, spectral imaging, multimedia technologies, computer graphics and vision) in a diverse range of sectors including multimedia, health care, cosmetics, automotive and agro-food.
RESEARCH AREAS
- Health & Life Science
- Science & Technology
- Quality control of manufactured products
- Medical and biomedical imaging
- Spectral systems design
- Media Technology
- Internet of Things
PREREQUISITES
Applicants must hold a Bachelor degree from an accredited institution in the topic of computer science, optics, physics, mathematics, signal processing, electronics, cognitive psychology, or other relevant adequate education.
Applicants must have completed at least 5 ECTS university level course on any programming language – other courses completed outside the University may be considered on an individual basis-, and at least 5 ECTS in mathematics.
Applicants should preferably have a background/skills on image processing, imaging, color science, photonics, vision, computer graphics, computer vision, machine learning, or justify of an experience in related fields.
Knowledge of English: TOEFL-test with a minimum score of 90 points, IELTS-test with a minimum score of band 6.5, Pearson’s language test with a score of at least 62 points, Cambridge Advance Language Test, Documentation that they meet the level B2 within the CEFR.
Applicants must have completed at least 5 ECTS university level course on any programming language – other courses completed outside the University may be considered on an individual basis-, and at least 5 ECTS in mathematics.
Applicants should preferably have a background/skills on image processing, imaging, color science, photonics, vision, computer graphics, computer vision, machine learning, or justify of an experience in related fields.
Knowledge of English: TOEFL-test with a minimum score of 90 points, IELTS-test with a minimum score of band 6.5, Pearson’s language test with a score of at least 62 points, Cambridge Advance Language Test, Documentation that they meet the level B2 within the CEFR.
EMPLOYABILITY
- Data scientist
- Computer vision engineer
- Color Science Engineer or Researcher
- Image Science Engineer
- Software Engineer
SUCCESS STORIES
Yu Jung Chen
Current position: Research analyst in tracking
Company: Varjo Technologies
Town - Country: Helsinki, Finland
Current position: Research analyst in tracking
Company: Varjo Technologies
Town - Country: Helsinki, Finland
Oleksii Sidorov (cohort 2017-2019)
Current position: Co-founder & CTO
Company: Suggestr (YC W22)
Town – Country: Menlo Park, California, USA
Current position: Co-founder & CTO
Company: Suggestr (YC W22)
Town – Country: Menlo Park, California, USA
Ethan Yi-Tun Lin (cohort 2016-2018)
Current position: PhD student at Meta
Laboratory - University: School of Computing Sciences, University of East Anglia
Town – Country: Norwich, Norfolk, UK
Thesis subject: "AI and physics-based approaches to bounding visual uncertainty"
Current position: PhD student at Meta
Laboratory - University: School of Computing Sciences, University of East Anglia
Town – Country: Norwich, Norfolk, UK
Thesis subject: "AI and physics-based approaches to bounding visual uncertainty"
Master of Science OIVM - COSI Track
COORDINATOR AT UJM
Alain TREMEAU
ADMINISTRATIVE CONTACT
Amélie GENVRIN
WEBSITE
cosi-master.eu
E-MAIL ADDRESS UJM
master.cosi@univ-st-etienne.fr
Alain TREMEAU
ADMINISTRATIVE CONTACT
Amélie GENVRIN
WEBSITE
cosi-master.eu
E-MAIL ADDRESS UJM
master.cosi@univ-st-etienne.fr
Teaching
Tuition
- 9 000€/year for partner country students.
- 4 500€/year for programme country students.
The COSI programme benefits from the financial support of the European Union funded Erasmus+ Joint Master Degree programme. This support allows the master committees to implement a very attractive scholarship strategy to attract the best students.
Please refer to the COSI website for all information about tuition and scholarships.
Please refer to the COSI website for all information about tuition and scholarships.
Application
You will find all the information about how to apply on the COSI website.