Charles University

Overview

Mathematical Analysis at Charles University is a research-oriented master's program that emphasizes advanced techniques in real and complex analysis, functional analysis, and differential equations. This program is designed to create strong connections between theoretical concepts and practical applications.

Through a combination of core courses, elective options tailored to your interests, and research seminars, you will cultivate the mathematical depth necessary for your thesis and for pursuing further study or research careers.

What you'll study

The curriculum is structured to blend essential analytical foundations with elective modules that align with your thesis topic. Regular seminars provide engagement with contemporary research issues and methodologies.

• Core/Compulsory courses (examples):
  • Topological Methods in Functional Analysis
  • Advanced Differentiation and Integration
  • Differential Equations in Banach Spaces
  • Partial Differential Equations
  • Interpolation Theory
• Electives and application-oriented modules (examples):
  • Continuum Mechanics
  • Mathematical Theory of Navier–Stokes Equations
• Research seminars: Regular seminars that introduce current mathematical research themes and support thesis preparation.
• Master’s thesis: A thesis project developed under academic supervision, typically related to one of the program’s research focus areas.

Note: The specific course offerings and semester allocations may vary. It is advisable to confirm the current study plan for your intake.

Entry requirements

While specific GRE or GMAT score requirements for this program are not publicly available, it is recommended to review the admission guidelines of Charles University for any additional academic prerequisites.

Career prospects

Graduates of the Mathematical Analysis program are well-prepared for careers in academia, research institutions, and various industries where advanced mathematical skills are in demand. Potential career paths include roles in data analysis, quantitative research, and applied mathematics, among others.