EMAGISTER CUM LAUDE
ESSCA School of Management – International

Master of Science in Digital Big Data For Value

4.6 excellent 27 opinions
ESSCA School of Management – International
À Boulogne-Billancourt

14000 

Infos importantes

Typologie Master
Lieu Boulogne-billancourt
Début Dates au choix
  • Master
  • Boulogne-billancourt
  • Début:
    Dates au choix
Description

Today, more and more companies are looking for personalities and managers capable of developing and implementing effective digital marketing strategies, but also integrating the analysis of data from connected objects or published daily on social networks.
To equip graduates with the best management and engineering knowledge, ESSCA will train senior managers capable of collecting, aggregating, storing and accelerating data processing through innovative algorithms. The curriculum focuses on supporting business leaders in their decision-making processes, imagining the services of tomorrow and anticipating new business needs.
This program will prepare you to acquire skills such as agility in collecting and analyzing multiple data sources in a variety of areas such as CRM, communication, risk management or marketing. To reach this level, courses in intelligence, marketing, communication or statistics will be at the same level as practical cross-disciplinary projects.

Infos importantes
Quels sont les objectifs de la formation?

This training course has several objectives but the main one is to allow students to combine at the same time apprenticeships in big data with a managerial aspect. This will enable students and future managers to better understand and anticipate consumer needs.
Students will then be able to apply for and work in positions such as webmarketing manager, Social media manager or business intelligence project manager for example.

Quel est le processus d'inscription?

An advisor will contact you to give you more details about this training.

Conditions: - A 4-year Bachelor degree, or a total of 240 ECTS credits, preferably but not exclusively in business administration or engineering - Les candidats français ou d’Afrique francophone peuvent postuler s’ils possèdent un diplôme M1 ou un total de 240 crédits ECTS - An advanced level of English (TOEFL 550 or equivalent)

Installations (1)
Où et quand
Début Lieu
Dates au choix
Boulogne-Billancourt
55 quai Alphonse Le Gallo, 92100, (92) Hauts-de-Seine, France
Voir plan
Début Dates au choix
Lieu
Boulogne-Billancourt
55 quai Alphonse Le Gallo, 92100, (92) Hauts-de-Seine, France
Voir plan

Opinions

4.6
excellent
Évaluation de la formation
100%
Recommandé
4.6
excellent
Évaluation du Centre

Opinions sur cette formation

N
NICOLA
19/01/2018
Le meilleur de la formation: he courses are very easy very often we were taught basics that we had already studied during our first year at our home university.
À améliorer: Nothing
Formation effectuée: Janvier 2018
Recommanderiez-vous cette centre de formation ?: oui
C
CONSTANCE
13/02/2018
Le meilleur de la formation: I loved it but I'm not sure everybody would. Sophia University is a really good one. I had an amazing time overall.
À améliorer: Nothing
Formation effectuée: Février 2018
Recommanderiez-vous cette centre de formation ?: oui
A
ANONYMOUS
10/03/2018
Le meilleur de la formation: At ESSCA you will find yourself living close by to other international students.
À améliorer: Nothing
Formation effectuée: Mars 2018
Recommanderiez-vous cette centre de formation ?: oui
* Opinions recueillies par Emagister et iAgora

Qu'apprend-on avec cette formation ?

CRM
Internet
Marketing
Business Intelligence
Communication
Strategy
Big Data
Internet of Things
Web Technologies
Data Driven Projects

Programme

The programme lasts 3 semesters and includes: 
- 450 hours of on-site teaching – 2 semesters in Boulogne-Billancourt – totalling 60 ECTS credits 
- An internship (4 to 6 months) and a Master’s thesis totalling 30 ECTS credits.

Semestre 1


Internet and Corporate Strategies 
Web Technologies 
Internet and Market Studies 
Communicating and Selling on the Web 
E-CRM 

Semestre 2

Statistics and Probability Modelling 
Business Intelligence 
Big Data Internet of Things 
Data Driven Projects