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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.



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.


EMPLOYABILITY
  • Data scientist
  • Computer vision engineer
  • Color Science Engineer or Researcher
  • Image Science Engineer
  • Software Engineer


SUCCESS STORIES

Yu Jung Chen
Yu Jung Chen
Yu Jung Chen
Current position: Research analyst in tracking
Company: Varjo Technologies
Town - Country: Helsinki, Finland

Oleksii Sidorov
Oleksii Sidorov
Oleksii Sidorov (cohort 2017-2019)
Current position: Co-founder & CTO
Company: Suggestr (YC W22)
Town – Country: Menlo Park, California, USA
Ethan Yi-Tun Lin
Ethan Yi-Tun Lin
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"