EIT Digital Master in Autonomous Systems

Master in Autonomous Systems (AUS) - EIT Digital Master School

EURECOM is part of the high profile EIT Digital Master in Autonomous System (AUS)

The programme is a double degree programme, which means that you’ll study at two European universities (and countries). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes. An integral part of the second year is a Masters thesis (30 ECTS).

The double-degree programme is implemented jointly by leading European universities. The students can select their favorite first (entry) and second (exit) year universities. Each university has a unique specialization area, which allows students to select their own second year expert area.

 

Application Deadlines:

Period one: 15 November 2019 - 3 February 2020
Period two: 17 February 2020 - 17 April 202

Where can you study EIT Master in Autonomous Systems?

Entry - 1st year (common courses)

  • Royal Institute of Technology (KTH), Sweden
  • Aalto University (Aalto), Finland
  • Technische Universität Berlin (TUB), Germany
  • University of Trento, (UniTN), Italy

 

Exit - 2nd year (specialisation)  

  • Robotics and Artificial Intelligence (Aalto - Finland)
  • Intelligent Autonomous Systems (KTH - Sweden)
  • Applications of Autonomous Systems (TUB - Germany)
  • Real-time perception, decision and control for autonomous driving (UniTN - Italy)
  • Sensing, Communicating and Processing Big Data for IoT (EURECOM - France)
  • Computer Science for Autonomous Driving (ELTE - Hungary)

 

2nd year Specialisation in Sensing, Communicating and Processing Big Data for Internet of Things at EURECOM

 

Master EIT Digital Autonomous Systems

EURECOM  is offering a specialisation in Sensing, Communicating and Processing Big Data for Autonomous Systems. This specialisation aims at describing the methods and tools to process and analyse data from sensors (big data integration, semantic interoperability, data mining and analytics) and at understanding the communication mechanisms adapted to the sensors' constraints (low energy consumption, limited computing capacities, etc.). Consequently, this master specialisation is at the crossroad between communication systems and data science skills. 

Electives EIT Digital Systèmes Autonomes 8
T STATS Foundations of Statistical Inference 3
T Stand Standardization activities 3
T Clouds Distributed Systems and Cloud Computing 5
T SysSec System and Network Security 5
T WebInt Interaction Design and Development of Modern Web Applications 3
T UMLEmb Designing embedded systems with UML 3
T MobServ Mobile application and services 5
T CompArch Computer architecture 5
Fundamental in Innovation and Entrepreneurship 6
G I&E Innovation and entrepreneurship EIT (external course) 6
Fundamentals EIT Digital Systèmes Autonomes 8
T MobMod Mobility Modeling 3
T MALIS Machine Learning and Intelligent System 5
T MobSys Mobile communication systems 5

 

Language    French or another foreign language for French speakers

1
Semester project (100h) 7

                                     

Scholarships:

Scholarships are merit based and no separate application for the EIT Digital Scholarship is needed.
(See: https://masterschool.eitdigital.eu/application/tuition-fees-scholarship…).

 

Find out more at : https://masterschool.eitdigital.eu/programmes/aus/

Administrative programme coordinator: Philippe Benassi (philippe.benassi @ eurecom.fr)

 

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