Bachelor’s, Master’s and PhD Degree Programmes

Bachelor’s Degree Programme in Computer Science

The bachelor study programme in Computer Science is intended for students who would like to learn the lasting foundations of computer science and to become proficient in its methods and approaches. A soundly built theoretical base is invaluable for working with applications and software development, and is a necessity for further study and research in computer science. The study programme usually takes three years to complete, and ends with a state final examination, after the successful completion of which the student is awarded the title of Bachelor of Science. The degree awarded is accredited by the Ministry of Education, Youth, and Sports of the Czech Republic and is internationally recognized. The language of instruction is English.

In the first year, there are basic mathematical courses (Mathematical Analysis 1, Linear Algebra 1, Linear Algebra 2, Discrete Mathematics) and introductory courses in algorithms (Introduction to Algorithms, Algorithms and Data Structures 1), programming (Programming 1, Programming 2) and computers (Principles of Computers, Introduction to Networking, Introduction to Linux).

During the second year students learn further mathematical theory (Combinatorics and Graph Theory 1, Mathematical Analysis 2, Propositional and Predicate Logic, Probability and Statistics 1), as well as the theoretical basics of programming and computers (Algorithms and Data Structures II, Automata and Grammars, Database Systems). In the second year, students are also required to learn some practical programming and to present an Individual Software Project. Students choose other courses according to their individual needs and interests, and they also select which of the six specializations they would like to pursue: General Computer Science, Programming and Software Development, System Programming, Databases and Web, Artificial Intelligence or Computer Graphics, Vision and Game Development.

During the third year students choose courses according to their specialization and they are also expected to work on their bachelor’s thesis. Studies in the programme are concluded with the state final examination.

Graduates from our programme are familiar with the fundamentals of mathematics and computer science. They have both theoretical and practical experience with programming and basic knowledge in more specific areas according to their choice of advanced classes. The skills acquired provide a good background for a follow-up master’s degree, as well as sufficient knowledge for immediate employment. Graduates are able to perform well in any position where logical thinking is required. They may also work as programmers or network administrators.

Master’s Degree Programmes

In our master’s programmes, students are given a broad overview of their field, helping them to think independently, to distinguish between important and marginal problems, and to accommodate quickly to novel technologies. The focus is on understanding the core principles of how and why things work and on the application of these principles within modern technologies. The strong theoretical basis of the master’s study programme gives our graduates a competitive advantage in a dynamically evolving world where today’s technologies are often obsolete tomorrow.

Studies usually take two years and finish with a state final examination and master’s thesis defense. After successful completion the student is awarded the title of Master of Science.

Master’s Programmes in Computer Science

Currently (starting from the Academic year 2020/2021) we offer seven Computer Science programmes in English:

  • Artificial Intelligence
  • Discrete Models and Algorithms
  • Language Technologies and Computational Linguistics
  • Software and Data Engineering
  • Software Systems
  • Theoretical Computer Science
  • Visual Computing and Game Development

Artificial Intelligence

The programme Computer Science - Artificial Intelligence provides a grounding in the theory and applications of the design of intelligent systems in such areas as data analysis, automated problem solving, and robotics. Emphasis is put on gaining a deep understanding of the formal theoretical foundations of the subject and an appreciation of their practical applicability.

Discrete Models and Algorithms

The programme Computer Science - Discrete Models and Algorithms offers a broad education in the theoretical and mathematical foundations of computer science. Students obtain knowledge in the area of discrete models and related algorithmic and data techniques and various mathematical methods for their design.

Language Technologies and Computational Linguistics

The aim of the programme Computer Science - Language Technologies and Computational Linguistics is to prepare graduates for research in the area of natural language processing and the development of applications in both written and spoken language. Emphasis is put on gaining a deep understanding of formal mathematical and algorithmic foundations and their practical applicability in natural language processing tasks.

Software and Data Engineering

The programme Computer Science - Software and Data Engineering leads to expertise in the analysis, design and development of complex software solutions, and in systems focused on big data processing. The portfolio of courses provided in the study programme covers a variety of technological platforms, from classic web-based to modern cloud and distributed solutions.

Software Systems

The programme Computer Science - Software Systems concerns system-oriented programming in one of three focus domains. System Programming focuses on designing and coding the basic layers of a computer system. Dependable Systems focuses on the systematic construction of systems with high reliability. High Performance Computing introduces techniques for software development on high performance computing systems.

Theoretical Computer Science

Computer Science - Theoretical Computer Science is a programme intended for research-oriented study. Students gain an overview and understanding of many areas of contemporary theoretical computer science - from cryptography and the limits of computational systems to state-of-the-art techniques in the design of efficient algorithms and data structures. Studies may include working in an international environment under the guidance of recognized experts while writing a master's thesis.

Visual Computing and Game Development

The programme Computer Science - Visual Computing and Game Development consists of two closely related study tracks. The first, Visual Computing, offers training in a wide range of visual sciences, including geometric modelling and rendering as well as the basics of image analysis and computer vision. The second, Computer Game Development, focuses on artificial intelligence and intelligent agent systems as well as on those software engineering skills needed for developing large-scale gaming projects.

A complete description of our old Master of Computer Science programme is here.

Master’s Programme in Mathematics

The master’s programme in Mathematics leads students to achieve a deep and solid understanding of higher mathematics. It is designed to encourage analytical thinking, creativity and comprehensive understanding, combined with an ability to apply mathematical methods to real-life problems. It offers degrees in several study branches, ranging from pure abstract mathematics to applications in various fields:

  • Mathematical Structures

    provides a deep knowledge of advanced algebra, geometry, logic, and combinatorics.

  • Mathematical Analysis

    focuses on advanced real function theory, complex analysis, functional analysis, ordinary and partial differential equations.

  • Numerical and Computational Mathematics

    deals with design, analysis, algorithmization, and implementation of methods for computer processing of mathematical models.

  • Mathematical Modelling in Physics and Technology

    is an interdisciplinary field connecting mathematical analysis, numerical mathematics, and physics to develop and apply mathematical models of natural phenomena.

  • Probability, Mathematical Statistics and Econometrics

    offers advanced courses in probability theory, optimization, statistical modelling, and random processes, and applies problem-solving methods from economics, technology, natural sciences, and informatics.

  • Financial and Insurance Mathematics

    focuses on mathematical methods for finance, life and non-life insurance, and financial management.

  • Mathematics for Information Technologies

    is an interdisciplinary program focusing on mathematical, algorithmic and numerical foundations of modern information technologies, with applications in information security, computer vision, information processing etc.

Starting from the academic year 2020/2021, we will follow an updated version of our programme.

Graduates find employment not only at universities and research institutes, but also in banks, financial and insurance companies, the pharmaceutical industry, the software industry, and marketing and telecommunication companies.

PhD Degree Programmes

  • Mathematics
  • Computer Science (Informatics)
  • Physics

Study Programme Mathematics

  • Algebra, Theory of Numbers and Mathematical Logic
  • Geometry, Topology, Global Analysis and General Structures
  • Mathematical Analysis
  • Probability and Mathematical Statistics
  • Scientific and Technical Calculations
  • Financial and Insurance Mathematics
  • General Questions of Mathematics and Information Science
  • Probability and Statistics, Econometrics and Financial Mathematics

Study Programme Computer Science

  • Theoretical Computer Science
  • Software Systems
  • Mathematical Linguistics
  • Discrete Models and Algorithms
  • Computer Graphics and Image Analysis

Study Programme Physics

  • Theoretical Physics, Astronomy and Astrophysics
  • Physics of Plasma and Ionized Media
  • Physics of Condensed Matter and Materials Research
  • Biophysics, Chemical and Macromolecular Physics
  • Physics of Surfaces and Interfaces
  • Quantum Optics and Optoelectronics
  • Geophysics
  • Meteorology and Climatology
  • Subnuclear Physics
  • Nuclear Physics
  • Mathematical and Computer Modelling
  • Physics Education and General Problems of Physics
  • Physics of Nanostructures

Semesters, Lectures and Exams

The academic year is divided into two semesters — a winter semester, starting in October, and a summer semester, starting in February. In each semester, there are 13 weeks of teaching and an examination period of 5 weeks. The courses are mostly in the form of lectures and recitations. The lectures cover the theoretical underpinnings of the subject, and there is time for applications of the theory in the recitations. The schedule of the faculty consists of 45-minute lessons with 5-minute breaks, and most of the lectures and recitations are organized as 90-minute long blocks of two such lessons once or twice a week. Attendance of lectures and recitations is usually not obligatory, but is strongly recommended. Mastery of a subject is confirmed by course credit and/or by an exam. Course credits (usually for recitations) are awarded at the end of the semester. The conditions for obtaining a course credit differ according to the nature of the course, from completing a test to programming an application or writing a survey. Exams are taken during the 5-week examination period and can be oral or written.

Want to know more?

Check our admission procedure, read alumni testimonials, find out about living in Prague or download our Study Guide which contains a detailed description of our programmes.

Other study options at Charles University in Prague

Do you want to study in the Czech Republic, but you find the Czech language to be really tricky? If you are interested in economics, sociology, politics or territorial studies, the Faculty of Social Sciences is a great option for you! One bachelor’s degree programme and thirteen master’s degree programmes are taught in English, fully accredited by the Czech Ministry of Education. Find more information about the programmes, admissions and student life at https://fsv.cuni.cz/en.