5 Degrees in Natural Sciences Mathematics in Poland for 2024
- Wrocław, Poland
Full time
3 semesters
On-Campus
English
The programme, offered by the Faculty of Pure and Applied Mathematics and run in cooperation with the Hugo Steinhaus Center, is based on educational standards of the European Consortium for Mathematics in Industry as confirmed by the status of ECMI Teaching Centre obtained by Wrocław University of Science and Technology in 2014. The curriculum is oriented towards real-life applications and industrial problems in educational style and contents
- Gdańsk, Poland
Full time
4 years
On-Campus
English
Gdańsk University of Technology (Gdańsk Tech) offers education in the Doctoral School which is free of charge, provides a scholarship, and a creative and interdisciplinary approach to research. Natural Sciences include chemistry, physics and mathematics. These disciplines are strong components of research at our university and attract many PhD students. Our school was founded in 2019 and started functioning as of the academic year 2019/2020. However, the doctoral studies at our university are more than 30 years old.
- Siedlce, Poland
On-Campus
English
The 2-year period of studies includes: calculus, complex and functional analysis, logic, algebra and number theory, topology, differential equations, stochastic processes, and computational mathematics, i.e., packages Mathematic Statistica. Students are prepared to continue their studies to obtain a doctorate.
- Zielona Gora, Poland
On-Campus
English
First-degree regular studies (3 years) leading to the bachelor professional title. To obtain this degree, students must pass the bachelor exam in the third year of study. The graduate receives a thorough education in mathematics and computer science, enabling him or her to use the acquired knowledge in various disciplines depending on the chosen specialty.
- Lublin, Poland
Full time
On-Campus
English
Students of Mathematics gain an ability for logical argumentation, and to carry out proofs of mathematical theorems, in particular to distinguish between assumptions and conclusions, to perform complicated calculations and formulate problems in mathematical language for their easier solving, to extract qualitative information from numerical data, use IT tools during the analysis of application problems, and to further develop independent mathematical knowledge.