Master in Machine Learning

The University of Warsaw, founded in 1816 and located in Poland’s capital, is the country’s largest and most prestigious research university with over 36,000 students and a substantial international community. The university houses a broad spectrum of faculties and is particularly strong in the humanities, social sciences and natural sciences, combining historical depth with modern research facilities and active participation in international research projects.

UW provides a varied academic portfolio with multiple English-taught programs and research opportunities, supported by laboratories, libraries and partnerships across Europe and beyond. The university’s global collaborations and competitive academic standards give students access to high-level supervision and a range of scholarly resources. Active research centres and international exchange networks create pathways for postgraduate study and collaborative projects.

International students arriving in Warsaw will find a cosmopolitan city, dedicated Welcome services and practical student support for housing, legalisation of stay and orientation. On-campus and nearby accommodation options are available, and the university’s vibrant student life includes cultural events, student organisations and career services that help graduates transition to employment or further study. The University of Warsaw is a strong choice for students seeking rigorous academics, research engagement and an affordable European study experience.

The Master in Machine Learning program at the University of Warsaw is a master's degree that equips students with a foundation in mathematics and computer science. It lasts one year and is taught in English. The main advantage is preparing students for designing and implementing machine learning models.

The curriculum includes mathematical models, supervised and unsupervised learning methods, and deep learning techniques. Students get hands-on training in programming with Python and using ML libraries like TensorFlow and PyTorch. They work on real-world projects and internships, enhancing problem-solving skills.

Graduates can work as ML Engineers, Data Scientists, AI Researchers, and Business Intelligence Developers. They can find positions in tech companies, finance, healthcare, and e-commerce, applying their knowledge to drive business growth and innovation.