Explore the programs and courses offered by Embedded Systems Electronics
Browse Programs Admission InformationThe Master’s program in Embedded Systems Electronics offers a comprehensive academic framework that equips students with foundational and advanced knowledge in the field of embedded electronics. The program includes deep exposure to microcontrollers, real-time systems, digital signal processing, AI integration, and FPGA development. It emphasizes hands-on lab work, structured projects, and training aligned with industrial demands to ensure that graduates are fully prepared for engineering challenges in automation, IoT, robotics, and smart system applications.
In the foundational semesters, students establish a strong grounding in electronics and computing through a carefully structured set of courses. These include Microcontroller Systems, which introduce embedded hardware control; Digital Electronics and VHDL, providing knowledge in digital circuit design and hardware description languages; and Advanced Signal Processing, which equips students with tools to analyze and manipulate complex signals. Additionally, Numerical Control Systems explore automated system control principles, while Programming for Embedded Systems—covering C++, Python, and Java—develops essential software skills. To support global engagement and professional communication, the curriculum also incorporates English for technical communication.
Advanced modules enable students to specialize in critical areas of embedded systems, deepening both their theoretical understanding and practical expertise. The curriculum covers Artificial Intelligence for Embedded Platforms, equipping students to integrate intelligent decision-making into constrained environments. FPGA-based Digital Logic Design develops proficiency in creating high-performance hardware using reconfigurable logic. Real-Time Operating Systems (RTOS) provide insights into scheduling and resource management for time-critical applications. Students also explore Embedded Linux and IoT Integration to develop connected, scalable solutions. The program includes in-depth study of ARM and STM32 architectures, as well as Digital Signal Processors (DSP) for high-speed data processing. Further specialization is offered through modules in Computer Vision Systems, enabling visual data interpretation, and Industrial Networking & Protocols, including Modbus, CAN, and MQTT, essential for communication in automated and networked systems.
The Master’s program is open to students who have completed a relevant Bachelor's degree, preferably in Electronics, Telecommunications, Automation, Electrotechnics, Biomedical Engineering, or a related field. Admission decisions are made based on the candidate’s academic record and the compatibility of their previous studies with the specialization in Embedded Systems Electronics.
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