Statistics

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 Statistics program at Delft University of Technology is a 1-week non-degree course taught in English. It's perfect for students who want to learn about statistics in a short period. This program helps students gain a basic understanding of statistical concepts.

The curriculum covers specific statistical subjects and helps students develop skills in data analysis and interpretation. Students will work on hands-on projects to apply their knowledge and gain practical experience.

After completing this program, students can pursue careers as Data Analysts, Statistical Assistants, or Research Assistants in various industries, including healthcare, finance, and social sciences. They can work with employers like research institutions, government agencies, or private companies.