Space applications
training courses

Ingénieur ENSEM, Diplôme Systèmes numériques

• Organisation : ENSEM Nancy
  (Université de Lorraine)
• Way of training : Initial education - Life-long learning - Sandwich/Apprenticeship training
• Language(s): French
• Place: Vandoeuvre les Nancy (French Regions: Grand-Est)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 2
• This training is included in RNCP / RS

Course Details

Objectives : Digital sciences are at the heart of connected objects and intelligent products that combine information processing and communication capabilities with their environment. Digital technology is at the center of new systems engineering approaches (3D modeling, virtualization, simulation, digital prototyping, etc.) for the design and development of intelligent systems.

The first two years of study take place on a common core basis. They are devoted to the acquisition of basic scientific skills in applied mathematics (scientific calculation, numerical analysis), computer science (algorithms and programming, database, networks), automation (system control, operational safety) and signal and image processing.

The scientific curriculum is supplemented by general training (modern languages, communication, managerial sciences, systems engineering). Openings in the professional environment are guaranteed by company internships and multiple interventions by industrialists. International experiences are encouraged through numerous opportunities for academic exchanges and internships abroad.

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

Admission requirements : Bac +2 (CPGE)

Targeted careers : Carrières dans les domaines tels que :
la simulation numérique
les systèmes embarqués
les objets connectés
les villes intelligentes (smart city)
la sûreté et la sécurité

Duration and terms : 3 years

Partnerships with national organisations : Université de Lorraine

Dedicated web site : https://ensem.univ-lorraine.fr/formations/

Space Technologies and Scientific Disciplines

• Robotics and autonomous systems (Control systems, guidance, navigation...)
• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Telecommunications (Space communications, Information and Communication Technologies, Internet of Things)