The integrating approach of a private university

Data Science & Business (B.A.)

  • Studieninhalte
    5.0
  • Dozenten
    4.0
  • Lehrveranstaltungen
    3.0
  • Ausstattung
    3.0
  • Organisation
    3.0
  • Literaturzugang
    2.0
  • Digitales Studieren
    4.0
  • Gesamtbewertung
    3.4
I really like how hands-on the study is. In other public universities, in the first year, they would cover more general courses that are not centered towards your degree. BI courses, on the contrary, feel really grounded in building the soft skills you'll need for your future job.

I also really enjoy having smaller classrooms, since it gives you a chance to ask more upfront questions to the lecturers (you can have a more personal connection with them). In a public university, lecturers wouldn't really care as much about each of their individual students.

I do, however, think that the organisation of the course hasn't always been the greatest. Things like, not being added to certain Team groups and missing out on content for the first few lessons of a course, or your schedule changing on week 3 and your assistance being graded as "missing" for the first weeks by your new assigned lecturers. It wastes a lot of time if students have to go up in-person to each of their teachers and mention the same issue, and it also gets tyring for teachers if multiple students face the same issue.

I think it'd be faster to come up with a system that lets students sign up themselves to their courses (ie. sending an email with Team codes so students can add themselves to every course, or finding a way to sign up directly via Teams without needing a code, or printing a poster with QR sign-up Teams codes for each course in university). I think this should be the responsability of the students, and not as much of the teacher to add every single student to their course.

I would also enjoy if there were more Data Science and Management oriented workshops available at BI. There are always a lot of workshops being sent by email about the Architecture or Graphic Design degrees, but Business degrees also need a lot of "learning how to apply the soft-skills you learn in class" (ie. things like workshops to code in Python, crash courses on Excel, but also talks by people in the field about their work experiences; so more networking opportunities offered by the university, or partnerships with other Business universities to organise student talks about their experiences, etc).
Tipp: Weiterführende Informationen zum Studium hier!
  • Relevant and grounded courses (non-general), personal connection with teachers, personal and stronger connection with students (smaller classes), interactive lesson environment
  • Scheduling of courses (organisation) could be improved, more Business related workshops could be offered, more networking events, more partnering with other Business universities (networking with students in your same field)

Aktuelle Bewertungen zum Studiengang

4.6
Jaeden , 17.02.2023 - Data Science & Business (B.A.)
3.7
Naiyapak , 04.12.2018 - Data Science & Business (B.A.)
3.7
Daniela , 04.12.2018 - Data Science & Business (B.A.)
5.0
Kamil , 03.12.2018 - Data Science & Business (B.A.)

Über Carlota

  • Alter: 21-23
  • Geschlecht: Weiblich
  • Abschluss: Ich studiere noch
  • Aktuelles Fachsemester: 1
  • Studienbeginn: 2022
  • Studienform: Vollzeitstudium
  • Standort: Standort Berlin
  • Weiterempfehlung: Ja
  • Geschrieben am: 16.01.2023
  • Veröffentlicht am: 16.01.2023