Bachelor in Econometrics and Data Science

The University of Amsterdam (UvA), founded in 1632 and located in the heart of Amsterdam, is one of the Netherlands’ most prestigious research universities. As a large, internationally oriented institution, UvA offers a wide range of programs across faculties such as humanities, social and behavioural sciences, economics and business, science, law, medicine and dentistry. Its metropolitan setting and historic campus combine with modern facilities to support a vibrant academic community.

UvA enrolls tens of thousands of students and provides hundreds of master’s and bachelor’s options, including many English-taught programs and research opportunities across more than 20 priority areas. The university’s strengths include interdisciplinary research institutes, strong international collaborations and a focus on societal impact. Students can access specialized research centres, internships in Amsterdam’s dynamic job market, and study abroad options via established exchange networks.

International applicants benefit from extensive support services, clear admissions guidance and housing assistance through university and partner residences. Studying in Amsterdam offers cultural diversity, excellent public transport and a creative, innovative urban environment. Graduates from UvA move into careers in academia, public service, business and the arts, drawing on the university’s rigorous training, research reputation and global connections.

The Bachelor in Econometrics and Data Science at the University of Amsterdam is for students who enjoy math and programming. This three-year English program helps students analyze data using math and stats models.

Students learn stats analysis, data modeling, and programming, applying these skills to real challenges like economic policy impact or market trends. The program focuses on practical applications, preparing students for the job market.

Graduates can become Econometricians, Data Scientists, Business Analysts, or Researchers, working in finance, consulting, or tech. They can adapt to various career paths in data-driven fields.