| Faculty | Faculty of Economics and Administration (FES) | ||||
|---|---|---|---|---|---|
| Study programme | Applied Informatics (P0613D140035) | ||||
| Branch of study / Specialization | Applied Informatics (P0613D4002/70 - 2023) | ||||
| Level of acquired qualification | Doctoral | ||||
| Form of study | Full-time | ||||
| Standard length of study | 4 years | ||||
| Number of ECTS credits | 240 | ||||
| Qualification awarded | Doctor (Ph.D.) (8) | ||||
| Access to further studies | The doctoral degree is the highest possible level of education in Czech education system. | ||||
| Type of completion | State Doctoral Examination and dissertation defense. | ||||
| Study and Examination Code | URL | ||||
| Faculty coordinator for international students |
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| Key learning outcomes | unspecified | ||||
| Specific admission requirements | unspecified | ||||
| Specific provisions for recognition of prior learning | unspecified | ||||
| Qualification requirements and regulations | unspecified | ||||
| Profile of the programme | unspecified | ||||
| Persistence requirements | unspecified | ||||
| Occupational profiles of graduates with examples | unspecified | ||||
| Branch of study / Specialization guarantor | unspecified |
| Status | Recommended year of study | Recommended semester | Course code | Course title (* Final State Examination) | Language of instruction | Number of ECTS credits | Course availability |
|---|---|---|---|---|---|---|---|
| Compulsory | - | - | FES/EMVPA | Science Methodology | English | 20 | |
| Compulsory | - | - | FES/EPMMS | Advanced Statistical and Mathematical Methods in Data Science | English | 20 | |
| Compulsory | - | - | FES/EMTMI | Modern Trends and Methods in Computer Science | English | 20 | |
| Compulsory option | - | - | FES/EPUR | Usability of User Interfaces | English | 10 | |
| Compulsory option | - | - | FES/ETZID | Theory of Information and Data Security | English | 10 | |
| Compulsory option | - | - | FES/EDES | Digital Economy and Society | English | 10 | |
| Compulsory option | - | - | FES/EVVS | Research Seminar | English | 10 | |
| Compulsory option | - | - | FES/EUVIA | Artificial and Computational Intelligence | English | 10 | |
| Compulsory option | - | - | FES/EPMZ | Advanced Methods of Spatial Data Processing | English | 10 | |
| Optional | - | - | FES/EAWA | Architecture and Web Application Design | English | 5 | |
| Optional | - | - | FES/EEGOV | e-Government | English | 5 | |
| Optional | - | - | FES/EESYS | Expert Systems | English | 5 | |
| Optional | - | - | FES/EDOS | Doctoral (Summer) School | English | 5 | |
| Optional | - | - | FES/EPMB | Advanced Business Intelligence Methods | English | 5 | |
| Optional | - | - | FES/EDA | Data Analytics | English | 5 | |
| Optional | - | - | FES/ESU | Machine Learning | English | 5 |