Mathematical modeling is an interdisciplinary field connecting mathematical analysis, numerical mathematics, and physics. The curriculum is designed to provide excellent basic knowledge in all these disciplines and to allow a flexible widening of knowledge by studying specialized literature when the need arises. All students take compulsory courses in continuum mechanics, partial differential equations, and numerical mathematics.

Students acquire the ability to design mathematical models of natural phenomena (especially related to continuum mechanics and thermodynamics), analyze them, and conduct numerical simulations. After passing the compulsory classes, students get more closely involved with the physical aspects of mathematical modeling (model design), with mathematical analysis of partial differential equations, or with methods for computing mathematical models. The grasp of all levels of mathematical modeling (model, analysis, simulations) allows students to use modern results from all relevant fields to address problems in physics, technology, biology, and medicine, surpassing the scope of each individual field.... [-]

The study branch Artificial Intelligence provides an education in the area of theoretical and applied knowledge for the design of intelligent systems in various areas including data analysis, automated problem solving, and robotic applications. An emphasis is put on a deep understanding of formal theoretical foundations and their practical applicability. Students will gain knowledge about the design of efficient data structures; about the formal modeling of problems using techniques of mathematical logic and probability theory; about algorithms (classical and nature-inspired) for problem-solving, the control of autonomous agents, machine learning, and data mining; and about complexity analysis of computational methods. Students will learn how to apply these techniques and how to extend them both to abstract (data) and physical (robotic) worlds in single-agent and multi-agent environments. The study branch Artificial Intelligence can be studied in three core areas: intelligent agents, machine learning, and robotics.... [-]

The study branch Software Systems puts an emphasis on system-oriented programming in one of three focus domains. The System Programming domain focuses on coding the basic layers of a computer system (middleware, operating system). In the Dependable Systems domain, the curriculum deals with the systematic construction of systems with high reliability, such as embedded and real-time systems. The High Performance Computing branch introduces techniques for software development on high-performance computing systems (highly parallel systems, distributed systems, clouds). All focus domains pay attention to both the programming tools and methods and the associated architectural knowledge.

The study branch Software and Data Engineering aims at expertise in the analysis, design, and development of complex software solutions and systems focused on big data processing. The portfolio of courses provided in the study covers a number of technological platforms, from classic, web-based, to the modern cloud and distributed solutions. Required as part of the course is to work on a large software project where students apply not only theoretical knowledge and technical skills but also teamwork abilities.

Conditions for Admission

The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the capability and diligence expected of Charles University students. To apply for our Computer Science or Mathematics Master's programs given in English you must:... [-]

The goal of the study program Theoretical Computer Science is to prepare graduates with a deep and sufficiently broad background in computer science which is based on mastering its theoretical foundations. These foundations are extended by specialized courses giving graduates a good overview of areas of computer science such as complexity and computability, design and analysis of algorithms, and artificial intelligence. This deep theoretical knowledge then allows graduates to more quickly absorb new findings in the developing areas of computer science and to actively contribute to the advancement of the state-of-the-art.

Conditions for Admission... [-]

The International Master of Science in Environmental Technology and Engineering (IMETE) is a Joint Master Degree Programme, taught in English, bringing together students and scholars from all over the world.

The IMETE programme takes two years to complete and starts yearly in September at UCT Prague. In February of the next year, students move to Delft, the Netherlands, where they can choose between two tracks, "Ecotechnology" and "Advanced wastewater treatment technologies". An optional internship can be completed in Summer. In September students move to Gent, Belgium to choose between "Air" and "Soil" tracks in the 3rd semester. Finally, in February of the 3rd year, students start their thesis research at one of the three academic institutions or at an associated partner.... [-]

The form of Study: Full-time Study

Length of Study: 2 years (4 semesters)

Entrance Exams: written form of the test from Economics and Management and Information Technologies in English only.

The master´s degree study branch Informatics that is being taught in English is to prepare professionals in informatics mainly for conceptual, analytical, projection and managerial activities, e.g., as: