Livre, Lecture, Étudiants, Conseil

This Master 1 in Autonomous Systems (AUS) covers all the fundamental aspects to understand and design autonomous systems. The core technical areas are about: modeling dynamic systems, parameter and state estimation, control, artificial intelligence, and robotics.

This Master 1 AUS is organized in two semesters during which you can obtain (at least) 60 ECTS (European Credits Transfer System), divided into:
  • 36 ECTS in technical course,
  • 24 ECTS in Innovation and Entrepreneurship (I&E). This is achieved by attending: the corresponding courses offered at UCA in I&E (see program below) and the Summer School (4 ECTS) organized by the Master School Office, at the end of the academic year Master 1.
Each student entering Master 1 AUS may come from a different background (computer science, electrical engineering, etc.). Therefore, personal guidance is provided to help students make their choice of elective lectures at the begining of the first semester.

First Year of Master in Autonomous Systems (AUS)
Program (2020 - 2021)

Each student should acquire at least 60 ECTS during the first year of Master AUS. The lectures and ECTS are distributed as follows:
  • Compulsory technical courses (24 ECTS),
  • Elective technical courses (select 12 ECTS, plus additional ones in the second semester if you wish, in the lists below),
  • Innovation and Entrepreneurship courses: I&E (24 ECTS).

Semester 1

Technical Courses

Compulsory courses (12 ECTS) Number of ECTS
EIEL931G Robotics: fundamentals, sensor modeling and fusion (GSE5) 3
EIEL933G Embedded Hardware and Software for Self-driving Cars (GSE5) 2
Introduction to Robot Operating System (ROS) and Gazebo 1
Preparation to the Industrial Project 3
5G Networks (Huawei) 3



Elective courses (12 ECTS required) Number of ECTS
EIEL923G Embedded Linux (GSE5) 3
EIEL733 Estimation and Digital Signal Filtering (ELEC4) 3
Mobile Communications: 2G, 3G, 4G (TR5) 3
Mobile Communications: Technology of connected objects (TR5) 3
UML modeling (GSE5) 3
KMUIML Introduction to Machine Learning (DS4H) 3
KMUSND Sensor and Network devices (DS4H) 3
Computer Architecture (Eurecom, COMPARCH) 5
SMUFN109 Advanced Programming (shared with M1 INFO) 3
SMUFN117 Neural Network and Learning (shared with M1 INFO) 3

Innovation & Entrepreneurship Courses

I&E 1 (9 ECTS) Number of ECTS
Basics in I&E (spread in the empty slots, till end of january/february) 3
KMUDB Digital business (SKEMA Business, DS4H/EUR shared) or
KMUDS Digital Strategy (Economy & management faculty, DS4H/EUR shared) or

KMUCI Creative industries (Arts and humanities faculty, DS4H /EUR shared)
Business Dev. Lab Part 1 (spread in the empty slots, until end of january 2021) 3

Semester 2

Technical Courses

Compulsory courses (12 ECTS) Number of ECTS
EIEL822 Digital Control (shared with ELEC4) 3
EIIN825 Artificial Intelligence: Optimization and Machine Learning 3
EIEL841 Industrial Semester Project 3
3D Machine Vision and Learning 3
Elective courses (on top of) Number of ECTS
SMUFN214 Combinatorial Optimization (M1 INFO) 3
EIEL861 Embedded Java (GSE4) 3
EIEL863 Embedded C++ (GSE4) 3

Innovation & Entrepreneurship Courses

I&E 2 (6 ECTS) Elective courses: choose 2 among Number of ECTS
KMUES Entrepreunership (SKEMA Business course DS4H EUR shared) 3
KMUDL Digital IP and Law (Law Faculty DS4H EUR shared) 3
KMUIDT2 Innovation & Design thinking 2 (DS4H/EUR shared) 3
KMUDC Digital cities (DS4H/EUR shared) (TBC) 3
I&E 3 (9 ECTS) Number of ECTS
Business Dev. Lab Part 2 (spread in the empty slots, from early march till mid of June) 5
Summer school : globally organized by EIT Digital, July-August 2021 4