COURSE CURRICULUM

The Master of Science program in Computer and Embedded Systems Engineering at TU Delft provides students with the opportunity to gain a comprehensive understanding of electronic system design by integrating expertise from both electrical engineering and computer science. The program focuses on the knowledge and skills needed to develop advanced computing, software systems, system engineering, and computer architectures for embedded and high-performance applications. Students study topics such as real-time operating systems and processor design, where the emphasis lies on creating efficient and reliable solutions. A strong feature of the program is its hands-on approach, where theoretical insights are applied in projects that involve designing embedded systems and optimised processors. These projects encourage students to translate abstract principles into practical applications while developing the ability to achieve optimal system performance that meets specific design and application criteria.In addition to technical depth, the program also prepares students to work with multidisciplinary knowledge, as modern systems often require the integration of hardware and software in complex, high-tech environments. By combining both domains, students develop the skills to tackle real-world challenges in a holistic way, which is a distinct advantage in the rapidly evolving field of embedded systems. Furthermore, the program allows for personalisation and specialisation based on individual interests. Students can choose to deepen their expertise in specific areas such as computer architecture, networking, software, or control, enabling them to tailor their studies to align with career aspirations or research ambitions.Overall, this program not only provides the theoretical foundation but also equips students with practical experience, interdisciplinary collaboration skills, and the ability to innovate within a dynamic technological landscape. Graduates emerge as versatile engineers capable of contributing to the design and optimisation of cutting-edge computing systems that play an essential role in industrial innovation and societal advancement.