Explore the programs and courses offered by Master's in Embedded Systems Electronics
Browse Programs Admission InformationThe extensive curriculum of the Master of Embedded Systems Electronics program is intended to give students a thorough understanding of embedded systems as well as useful skills. At the core of contemporary technology are embedded systems, which power gadgets and systems in sectors like consumer electronics, healthcare, automotive, and the Internet of Things (IoT). In order to create effective, dependable, and creative answers to problems in the real world, this program focuses on integrating hardware and software.
Microcontroller programming, real-time operating systems (RTOS), digital signal processing (DSP), hardware-software co-design, robotics, and the Internet of Things (IoT), are among the fundamental and advanced subjects that are covered in the curriculum. Utilizing cutting-edge instruments and technologies like FPGAs, ARM Cortex processors, and embedded software development environments, students will work on practical projects and in the lab.
Along with highlighting the value of research and innovation, the program gives students the chance to collaborate with industry partners on cutting-edge projects. Graduates of this program will be prepared to work in both academic and industrial settings as robotics specialists, embedded systems engineers, IoT developers, and more.
: Semester 1
1. Microcontroller Systems
2. Advanced Digital Electronics: FPGA and VHDL
3. Advanced Signal Processing
4. Digital Control Systems
Semester 2
1. Processor Architecture for Embedded Systems
2. Digital Signal Processors (DSP)
3. Artificial Intelligence in Embedded Systems
4. Programmable Logic Controllers (PLCs)
: Semester 3
1. Real-Time Systems
2. Artificial Vision Systems
3. Embedded Systems
4. Industrial Networks and Communications
Semester
Methodological Courses /
1. Microcontroller Systems Lab
2. VHDL Lab and FPGA / .
3. Digital Control Systems Lab / Advanced Signal Processing Lab /
4. Programming with Embedded C++
Discovery Courses
1. RFID (Radio-Frequency Identification)
2. Home Automation (Domotique)
Transversal Course
Technical English and Terminology ة
Semester 2
Methodological Courses
1. Processor Architecture for Embedded Systems Labة
2. Digital Signal Processors (DSP) Lab / أ
3. Artificial Intelligence Lab / Programmable Logic Controllers (PLCs) Lab /
4. Python Programming /Java for Embedded Systems
Discovery Courses / مواد الإسكتشافية
1. Smart Cards /
2. Embedded Systems for Automotive Applications
Respect for Standards, Ethics, and Integrity
Semester
Methodological Courses
1. Artificial Vision Systems Lab
2. Embedded Systems Lab / Real-Time Systems Lab
3. Industrial Networks Lab
4. Project Study and Implementation
Discovery Courses
5. Robotics
6. Renewable Energies
Transversal Course
Documentary Research and Thesis Writing
Semester 4
Internship in a Company or Research Lab
(Includes a thesis and defense /