MA Machine Learning


Area of Studies

mathematics, informatics



Degree (in English)


  • English
Course Duration

2 years (4 semesters)


Faculty of Mathematics, Informatics, and Mechanics

Tuition and Other Fees

Free of charge

Application Deadline(s)

from 06.06.2023 to 22.06.2023

Course Description

Course Profile

The second degree program in Machine learning offered at the University of Warsaw was created as a response to the rapidly growing interest in information processing technologies in this area. The degree program is designed on the basis of well-functioning and long-established practices in the study field of computer science. The recently developed curriculum has been prepared taking into account current developments in computer science in the area of machine learning and artificial intelligence and their applications in the business. The content is designed to address the needs of both those students who view the knowledge and skills they will acquire during the studies as an asset in their career path, and those particularly gifted in exact science, who are planning a research career. The Faculty of Mathematics, Informatics and Mechanics is recognized and appreciated in the world.

During the second cycle studies, the primary emphasis is on learning creative problem solving, the ability to build generalizations and pose questions. Graduates of the second-cycle studies become proficient not only in the use of selected information processing technologies in the field of machine learning, but they are also able to use the acquired knowledge and skills in applications unrelated to the studied discipline, for example in interdisciplinary research teams. As a result, graduates are prepared for careers that require significant knowledge of machine learning to cope with contemporary challenges facing computer solutions. At the same time, students are included in the research conducted at the university, which prepares the graduates to conduct scientific research activities and undertake doctoral studies.

Education Requirements

Information on qualification procedure is available at:

Other Requirements