Master in Data Science and Artificial Intelligence Technology

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 Data Science and Artificial Intelligence Technology is a 2-year program at Delft University of Technology, ideal for students who want to develop intelligent software systems. This English-taught program is perfect for international students passionate about technology.

The curriculum includes data management, machine learning, and AI algorithms, with hands-on projects and opportunities to select themes like Advanced Machine Learning or Human-centred AI. This approach prepares graduates for the fast-evolving tech landscape.

Graduates can become Data Scientists, AI Engineers, Machine Learning Specialists, or Data Analysts, working in sectors like technology, healthcare, and finance. They will have transferable skills that can be applied across multiple industries.