Theoretical knowledge

Data Engineering and Analytics (M.Sc.)

  • Studieninhalte
    5.0
  • Dozenten
    5.0
  • Lehrveranstaltungen
    4.0
  • Ausstattung
    5.0
  • Organisation
    5.0
  • Literaturzugang
    3.0
  • Digitales Studieren
    5.0
  • Gesamtbewertung
    4.6
There are a lot of theoretical courses and knowledge you have to gain in this program. In most of the courses homeworks are only counted if you pass the exam which leads for students to focus more on lectures rather than homeworks where you need to use more practical knowledge.

Aktuelle Bewertungen zum Studiengang

4.7
Ekin , 12.11.2023 - Data Engineering and Analytics (M.Sc.)
4.1
Ekin , 05.07.2023 - Data Engineering and Analytics (M.Sc.)
4.4
Ekin , 11.05.2023 - Data Engineering and Analytics (M.Sc.)
4.4
Ekin , 10.02.2023 - Data Engineering and Analytics (M.Sc.)
4.4
Andrés , 30.12.2022 - Data Engineering and Analytics (M.Sc.)
5.0
Mira , 03.10.2021 - Data Engineering and Analytics (M.Sc.)
3.9
Tobias , 21.09.2020 - Data Engineering and Analytics (M.Sc.)
4.5
Irena , 11.06.2019 - Data Engineering and Analytics (M.Sc.)
4.2
Irena , 01.12.2017 - Data Engineering and Analytics (M.Sc.)

Über Z.

  • Alter: 24-26
  • Geschlecht: Weiblich
  • Studienbeginn: 2022
  • Studienform: Vollzeitstudium
  • Standort: Standort Garching bei München
  • Weiterempfehlung: Ja
  • Geschrieben am: 10.02.2023
  • Veröffentlicht am: 15.02.2023