Flexible environment

Data Engineering and Analytics (M.Sc.)

  • Studieninhalte
    5.0
  • Dozenten
    5.0
  • Lehrveranstaltungen
    5.0
  • Ausstattung
    5.0
  • Organisation
    5.0
  • Literaturzugang
    5.0
  • Digitales Studieren
    5.0
  • Gesamtbewertung
    5.0
You have many modules to choose from, only 2 courses are mandatory and the rest are flexible.
The content of each course is not that hard, however the amount is huge so you have to be up to date each week.
The first time I applied for the seminar and praktikum, 2nd semester, I didn't get a place, however I applied again for this semester (3rd) and I got a place in both.
  • flexible professors and coordinator
  • a lot of maths is involved

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.)
4.6
Z. , 10.02.2023 - 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.)
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 Mira

  • Alter: 24-26
  • Geschlecht: Weiblich
  • Abschluss: Ich studiere noch
  • Aktuelles Fachsemester: 3
  • Studienbeginn: 2020
  • Studienform: Vollzeitstudium
  • Standort: Standort Garching bei München
  • Schulabschluss: ohne Hochschulreife
  • Weiterempfehlung: Ja
  • Geschrieben am: 03.10.2021
  • Veröffentlicht am: 06.10.2021