Space applications
training courses

Master Ingénierie du Web, des Objets Communicants et des Systèmes complexes (IWOCS)

• Organisation : UFR Sciences et Techniques de l'ULHN
  (Université Le Havre Normandie)
• Way of training : Initial education - Life-long learning - Sandwich/Apprenticeship training
• Language(s): French
• Place: Le Havre (French Regions: Normandie)
• Prepared diploma/grade/title: Master or DNM: French National Master Degree
• 1st required level : French baccalauréat + 3
• VAE (Validation of Acquired Experiences): Yes
• This training is included in RNCP / RS

Course Details

Objectives : This computer science master's degree from the University of Le Havre trains high-level executives, engineers and researchers with a solid computer culture.
The skills acquired, in particular, concern the Web, the Internet of Things, security, mobile programming and Big Data. Young graduates are able to practice their profession in high-tech industries, but also to bring their expertise to SMEs and VSEs.
The training offers a contextual and global approach to the problems and systems studied, taking into account in particular the uncertainties inherent in real environments. The students thus trained are prepared to deal with problems, possibly partially defined, relating to various fields in which IT and digital technology are strongly present.

Degree Level (EU) : 7 - (EQC level or equivalent)

Acquired skills during the training : Mastery of related technologies and models:
on the WEB,
to IoT communicating objects,
to mobile systems,
to security,
to Big Data,
to data visualization.

Expertise in the following areas:
complex systems,
project management,
A.I.
parallelism, distribution and scheduling,
infographics,
functional programming,
graphs,
ubiquitous computing.

Targeted careers : Activity area:
Public function
Industry
IT - Telecommunications
Research

Dedicated web site : https://www.univ-lehavre.fr/fr/formations/master-informatique-ingenierie-du-web-des-objets-communicants-et-des-systemes-complexes-iwocs/

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)