Study plan prg.ai Master
| Study programme: Welcome page | Study type: unknown full-time |
| Recommended study pathway: prg.ai Master - Passage through study | |
| Code | Course group name | credits | |
| Compulsory courses in the program | |||
| 2025_MPRGAIDIP | Diploma Thesis | In this group you have to gain 30 credits
In this group you have to complete 1 course
|
30 |
| 2025_MPRGAIP | Compulsory subjects of the programm | In this group you have to gain 54 credits
In this group you have to complete 9 courses
|
54 |
| Minimal number of credits | 84 | ||
| Elective courses | |||
| 2025_MPRGAIVOL | Elective subjects⌘ | In this group you have to gain at least 6 credits (at most 999)
In this group you have to complete at least 1 course
|
6 |
| Minimal number of credits | 6 | ||
| Total number of required credits | 90 | ||
| Number of elective courses credits you have to gain | 0 | ||
| Total number of credits | 90 | ||
- Elective subjects [2025_MPRGAIVOL]
-
# ~Student can choose arbitrary subject of themagister's program (EEM - Electrical Engineering, Power Engineering and Management, EK - Electronics and Communications, KYR - Cybernetics and Robotics, OI - Open Informatics, OES - Open Electronics Systems) which is not part of his curriculum. Student can choose with consideration of recommendation of the branch guarantee.You can find a selection of optional courses organized by the departments on the web site http://www.fel.cvut.cz/cz/education/volitelne-predmety.html