Study programmes
Theoretical Computer Science and Artificial Intelligence
Study program:
Theoretical Computer Science and Artificial Intelligence
SP code:
P0619D140004
Study form:
combined
Study type:
doctoral
Standard duration of study in years:
4
Language of instruction:
English
Title:
Ph.D.
Title:
No
More details
SP name in Czech:
Teoretická informatika a umělá inteligence
SP name in Latin:
Studia informatica theoretica et intelligentia artificialis
SP profile:
academically oriented
SP characteristics
The program prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts.
In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as: algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.
In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as: algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.
More details
Graduate profile for the public:
Our graduates possess state-of-the-art knowledge in the field of Theoretical Computer Science and Artificial Intelligence and actively add new results to these areas. They have experience with algorithm and data structure design and analysis, with AI tasks that include problem solving, automated planning, decision making, optimization, machine learning, design of cognitive models and robotic systems. The graduates are familiar with the core principles of scientific work and are able to specify their own research goals to solve the problems. They have experience with the work in an international environment, with university teaching, and with team work, typically involving development of complex software projects/systems. They know how to present their results and justify them in international competition. After graduation, they can work mainly in research and development both in academic and commercial environments.
Related accreditations
| Faculty | Name of the study program | Language of instruction | Study form |
|---|---|---|---|
| Matematicko-fyzikální fakulta | Teoretická informatika a umělá inteligence | čeština | prezenční |
| Matematicko-fyzikální fakulta | Theoretical Computer Science and Artificial Intelligence | angličtina | prezenční |
| Matematicko-fyzikální fakulta | Teoretická informatika a umělá inteligence | čeština | kombinovaná |
Teaching provided by
Faculty:
- Faculty of Mathematics and Physics (MFF) https://www.mff.cuni.cz
Cooperating institutions:
- Institutions:
- Institute of Mathematics of the CAS
- Institute of Computer Science of the CAS
- Institute of Information Theory and Automation of the CAS
More details
Foreign university joint diploma type:
No
External department:
No
Classification
Area of education:
- Informatics
SP structure
Specialisation:
No
Double-curriculum study:
No
Data for persons with disabilities
Contact person for persons with disability:
Mgr. Lukáš Krump, Ph.D.
Web page for persons with disability:
Further information about the study of persons with disability:
Personal provision
Garant SP:
- prof. RNDr. Roman Barták, Ph.D.
More details
Subject Area Board Members:
- Chairman, Barták Roman, prof. RNDr., Ph.D. (from 19.12.2018)
- Members, Čepek Ondřej, prof. RNDr., Ph.D. (from 11.7.2019)
- Members, Gregor Petr, doc. Mgr., Ph.D. (from 11.7.2019)
- Members, Holeňa Martin, prof. RNDr. Ing., CSc. (from 11.7.2019)
- Members, Jiroušek Radim, prof., DrSc. (from 11.7.2019)
- Members, Koucký Michal, prof. Mgr., Ph.D. (from 13.11.2019)
- Members, Kučera Antonín, doc. RNDr., CSc. (from 11.7.2019)
- Members, Mrázová Iveta, doc. RNDr., CSc. (from 11.7.2019)
- Members, Neruda Roman, Mgr., CSc. (from 11.7.2019)
- Members, Pudlák Pavel, prof. RNDr., DrSc. (from 11.7.2019)
- Members, Ratschan Stefan, doc. Ing., Ph.D. (from 11.7.2019)
- Members, Sgall Jiří, prof. RNDr., DrSc. (from 11.7.2019)
- Members, Vejnarová Jiřina, doc. RNDr., CSc. (from 11.7.2019)
- Members, Wiedermann Jiří, prof. RNDr., DrSc. (from 11.7.2019)
- Members, Železný Filip, prof. Ing., Ph.D. (from 11.7.2019)
Instruction
Admission procedure requirements:
Study programme (branch) is open for applicants for the academic year
2026/2027:
- Faculty of Mathematics and Physics - Admission procedure requirements
Admission procedure requirements in the acaademic year
2025/2026:
- Faculty of Mathematics and Physics - Admission procedure requirements
- Faculty of Mathematics and Physics - Admission procedure requirements - second run
Can be studied in combination
No combinations have been found
