Master in Information Studies: Data Science (track)

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 Master in Information Studies: Data Science track at the University of Amsterdam is a 2-year program that teaches students how to become all-round data scientists. This Master's degree, taught in English, is open to students with a Bachelor's degree and helps them develop skills in data analysis and science.

The curriculum covers topics such as data-driven project management, business problem-solving, and data science solutions implementation. Students learn how to approach problems from a data-analytical perspective and develop skills in data analysis, machine learning, and data visualization. The program also includes hands-on components, such as working on real-world data science projects.

Graduates of this program can pursue careers as Data Scientists, Business Intelligence Analysts, Data Engineers, or Quantitative Analysts. They can work in industries such as finance, healthcare, or technology for employers such as Google, Amazon, or Accenture.