Master in Signals, Networks & Sensing

Delft University of Technology (TU Delft) is the Netherlands' leading technical university, founded in 1842 and located in the historic city of Delft. Renowned for engineering, technology and applied sciences, TU Delft combines rigorous academics with a strong culture of innovation. With 145 degree programs across bachelor’s, master’s and doctoral levels, the university attracts ambitious students worldwide seeking hands-on, research-led training and modern laboratory facilities.

The university is especially strong in sustainable energy, water management, urban planning and mobility, and is an active member of European research networks such as CESAER and the IDEA League. Interdisciplinary laboratories, maker spaces and industry partnerships give students access to real projects, from prototype development to city-scale simulations. Many programs are offered in English and include international exchange, internships and entrepreneurship support to help translate research into practice.

Student life in Delft blends historic town life with a vibrant campus community: student associations, design teams and start-up incubators help convert classroom ideas into careers. Career services maintain close ties with European employers, supporting internships and graduate recruitment across sectors. Prospective international students should prepare a strong academic record, a concise portfolio for design or engineering programs where required, and check scholarship and visa guidance early to make the most of TU Delft’s practical, globally connected education.

The Master in Signals, Networks & Sensing is a 2-year program at Delft University of Technology, ideal for students interested in the intersection of technology and real-world applications. This master's degree in Electrical Engineering helps students gain a deep understanding of mathematical modeling, signal processing, and network science.

The curriculum focuses on Signal Processing, Radar Systems, and Network Science, with hands-on projects and interdisciplinary research applying knowledge to practical challenges in fields like communication and machine learning. Students develop skills in signal processing, systems theory, and network science.

Graduates can pursue job titles like Signal Processing Engineer, Network Scientist, Radar Systems Engineer, and Research Scientist, with employers including tech companies, research institutions, and government agencies.