Master in Stochastics and Financial Mathematics

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 Stochastics and Financial Mathematics is a 2-year program at the University of Amsterdam, taught in English. It's for students who want to study mathematics and its application in finance.

This program covers subjects like Financial Mathematics, Data Analytics, Statistics, Probability, and Decision Making. You will develop skills in mathematical modeling, data analysis, and problem-solving, and have hands-on experience in working with financial data and mathematical models.

Graduates can pursue careers as Financial Analysts, Data Scientists, Risk Managers, or Quantitative Researchers in banks, consultancy firms, or insurance companies. They can work in finance, banking, or investment industries, helping organizations make informed decisions.