English (UK) 
Українська 
If you like mathematics there is no need to look for opportunities to study abroad. After graduating from Kyiv Academic University (KAU), you will acquire a set of skills to work, or continue research, in the desired field and easily find a job in industry.
Postgraduate studies and dissertation writing open up even more opportunities - after the defense of a thesis, you will be able to travel to other countries for a few months or years or to go for a postdoctoral internship.
However, the best opportunities for a Mathematical Researcher open after the defence of a thesis, since the diploma of Candidate of Sciences (now Ph.D.) has always been recognized by all prestigious world Universities at the Ph.D. level. Western universities readily accept scholars from Ukraine for both long-term and short-term internships. In addition, you will have the opportunity to do your favorite thing and communicate with the mathematicians of all the leading countries in the world.
KAU's teachers will do their best to keep your knowledge in the chosen field up-to-date and complete. However, it is up to you to use them successfully to solve many problems that arise in the mathematics field during the process of development.
The schedule of lectures and other relevant information you can found on the website of the Department of Mathematics.
Department of Mathematics of KAU qualify masters and doctors of philosophy in modern areas of mathematics:
1) methods of commutative and non-commutative algebraic geometry and their application in related fields of mathematics and theoretical physics;
2) dynamics and stability of multidimensional systems;
3) nonlinear analysis and theory of partial differential equations;
4) functional analysis;
5) complex analysis and potential theory;
6) theory of differential equations and dynamic systems;
7) computational mathematics;
8) theory of random processes;
9) theory of functions;
10) approximation theory;
11) topology;
12) fractal analysis.
2) dynamics and stability of multidimensional systems;
3) nonlinear analysis and theory of partial differential equations;
4) functional analysis;
5) complex analysis and potential theory;
6) theory of differential equations and dynamic systems;
7) computational mathematics;
8) theory of random processes;
9) theory of functions;
10) approximation theory;
11) topology;
12) fractal analysis.
