Study plan Open Informatics - Data Science
| Study programme: Open Informatics | Study type: Follow-up master full-time |
| Recommended study pathway: Branch Data Science - Passage through study | |
| Code | Course group name | credits | |
| Compulsory courses in the program | |||
| 2018_MOIEP | Compulsory subjects of the programme | In this group you have to gain 24 credits
In this group you have to complete 4 courses
|
24 |
| 2018_MOIEDIP | Diploma Thesis | In this group you have to gain 25 credits
In this group you have to complete 1 course
|
25 |
| Minimal number of credits | 49 | ||
| Compulsory courses of the specialization | |||
| 2018_MOIEPO9 | Compulsory subjects of the branch | In this group you have to gain 36 credits
In this group you have to complete 6 courses
|
36 |
| Minimal number of credits | 36 | ||
| Elective courses | |||
| 2018_MOIEVOL | Elective subjects⌘ | 0 | |
| Minimal number of credits | 0 | ||
| Total number of required credits | 85 | ||
| Number of elective courses credits you have to gain | 35 | ||
| Total number of credits | 120 | ||
- Elective subjects [2018_MOIEVOL]
-
~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