Program

Initial training in 2 years

 

Mode

On-site

Level

Master

Languages

English, French

Number of Credits

120

Internship/Mobility

  • Internship in M1 (international mobility)
  • End of study internship in M2
  • Scientific project in M2

Objectives

This master’s degree allows to develop operational capabilities through active involvement in the design, implementation, choice, identification and implementation of connected object ecosystems.

The objective is to train students in new multidisciplinary engineering professions in IOT (Internet Of Things). The skills developed in this training meet the current needs of software and hardware architects across the entire transmission and processing chain dedicated to connected and intelligent objects. The modules for data acquisition, analysis and processing, vision, artificial intelligence, electronics and embedded computing, wireless technologies, networks and cyber security illustrate this approach.

Job opportunities

Jobs : IoT architect, IoT engineer, embedded electronics engineer, industrial vision engineer, AI engineer, IoT radio engineer, digital systems engineer, manager – project manager in IoT, researcher, assistant professor

Sectors : IT Companies, business IT services, IT large groups, start-up, research organizations.

Program

Master 1

Semester 1

  • Programming practices and tools
  • Acquisition & sensors
  • Vision
  • Embedded systems
  • Data analysis
    • Practice of data analysis
    • Data analysis methods
  • Soft skills
  • Research labworks at XLIM

Semester 2

  • Supervised learning
  • Network and security
  • Wireless technologies
  • Communicating embedded systems
  • Smart Energy
  • Language (English or French)
  • Soft skills
  • Research labworks at XLIM
  • Abroad internship

Master 2

Semester 3

  • Machine learning
    • Neural networks
    • General machine learning principles and algorithms
  • Computer vision
  • Smart Systems and Networks
  • Bio medical data analysis
  • Language (English or French)
  • Research or entrepreunarial project
Elective courses (1 out of 2)
  • Energy Harvesting
  • Watermarking

Semester 4

  • 5G and beyond
  • Research or entrepreunarial project
  • End of study internship (Master’s thesis)
Download PDF program

Informations

  • Selective route (limited places)
  • No repetition possible in EUR course
  • Scholarship 6000€ (4000€ in M1, 2000€ in M2)
  • Financial assistance with incoming and outgoing mobility

Prerequisites

Holders of a Computer Science degree or equivalent.

Application

For students residing in France or the EU, you apply on monmaster.gouv.fr

Monmaster.fr

For non-EU students, you apply on campusfrance.org/fr

CampusFrance.org

Contact

Clency PERRINE

Master's Director


David HELBERT

Master's Director


Study place

The information on this page is for informational purposes and not contractual.

 

 

Last update : 2024 January