AVOID THIS PROGRAM IF YOU HAVE A CHANCE

Avis de Oqqffpdo_10962 - MSc Data Analytics for Business - KEDGE Business School

  • Quel est, selon vous, le principal atout de ce programme ?

    I don't know yet


  • Quelle est, selon vous, la principale faiblesse de ce programme ?

    A lot. The pedagogical coordinator is not helping at all. Classes are squeezed in 2 weeks or even into a week. We don't have time to practice, hence learn. Too much verbal classes about the ethics of AI, but we only learn the things we have already seen on social media.


  • Commentaires généraux

    I think I gave a lot of comments. Not a fan of the program, a lot can be done better. It's a cheezy program if you don't wanna work or learn at all but you want a degree. The atmosphere is school-like but the execution is BootCamp like. Also, the attitude of the coordinator, lack of empathy and low learning points will be the major things you will remember.

Évaluation générale - MSc Data Analytics for Business à KEDGE Business School

1.9710

Moyenne générale

2.210

Pédagogie du programme

110

International

310

Vie étudiante

1.6710

Réseau et insertion professionnelle

210

Retour sur investissement

  • 110

    Contenu académique du programme

  • 110

    Moyens pédagogiques (bibliothèque, WIFI, locaux)

  • 310

    Qualité des professeurs permanents

  • 510

    Qualité des intervenants professionnels extérieurs

  • 110

    Contrôle des connaissances, volume et répartition des cours, travail personnel

    It was like a joke, everything about this programme was like joining a BootCamp. Each class ends in a week or two, you can't learn analytical lectures like that.

  • 110

    Reconnaissance internationale du programme

    I gotta say what I gotta say, you chose half of the class (actually, more than half) from Asia, more specifically from India, it should be more diverse, maybe you could not find anyone applying, that is on you as well!

  • 110

    Accompagnement/aide si départ à l'étranger

    All the informations were given after we came :)

  • 310

    Services aux étudiants (orientation, projet pro., scolarité, etc.)

  • 110

    Ambiance, cohésion dans la promo (projets, entraide, loisirs, associations)

  • 510

    Ville étudiante, logement (coût, accès, situation)

    I live in the city center, which means I rely on the tram for transportation, but it breaks down all the time. There's no ventilation on public transport, so it smells. My rent was €1,100.

  • 110

    Réseau des anciens, contacts professionnels

    What networking contacts? Be real. I’m happy I found my internship on my own, but at the job fair, you brought only French‑speaking companies. We also had a Business and AI course where the teacher missed the second session. He posted the first session’s students’ CVs on LinkedIn in a ‘marketable’ way, yet we never had another class with him. Which was not the most equal thing that happened. Instead, a visiting data scientist showed up—clearly unprepared, he was a kind teacher who tried to teach things at least, but the slides weren’t even his, and he couldn't succeed in teaching. The whole programme was like that.

  • 310

    Qualité du directeur de programme et notoriété de la formation

  • 110

    Satisfaction sur le salaire premier-emploi

    It's not satisfying at all, Paris is highly expensive and intern salaries in Europe is very low.

  • 110

    Êtes-vous globalement satisfait de votre formation ?

  • 310

    Referiez-vous le même choix de formation aujourd’hui ?

Commentaires