Présentation
The Graduates of the MSc in Data and Business Analytics will be leaders in data-driven decision making. They will be able to synthesize relevant business analytics information and develop and use analytics tools of different types and forms to improve decisions throughout an organization.
Éditorial
"The objective of the MSc in Data and Business Analytics is to equip graduates with key analytical methods and tools that will allow them to become leaders in data-driven decision making. Through its theoretical and practical courses, the program prepares graduates for jobs related to data and business analytics in different areas such as supply chain management, marketing and finance."
Modalités
Conditions d'admission :
- Bac+3/4 ou Bachelor’s tout domaine
- Niveau d’anglais** : TOEFL > 80 (IBT) ou TOEIC> 750 ou IELTS> 6.5 ou équivalent
- Dossier de Candidature
- Entretien
*autres situations étudiées au cas par cas.
** Possibilité de passer un TOEIC blanc à l’École (gratuit)
Calendrier :
Cours : septembre 2017 à mai 2018
Stage : mai à novembre 2018
Graduating project : jusqu’en décembre 2018
Langue d'enseignement :
Anglais
Frais de dossier :
2017/2018 : Frais de dossier : 90 €
Programme
Compulsory modules
Foundation courses : Fondamentals of Managerial Statistics
Teaching hours: 27 | ECTS: 6
Data Management
Teaching hours: 27 | ECTS: 6
Optimisation and Simulation
Teaching hours: 27 | ECTS: 6
Time Series Analysis
Teaching hours: 27 | ECTS: 6
Data mining
Teaching hours: 27 | ECTS: 6
Statistical modeling for business
Teaching hours: 27 | ECTS: 6
Information visualisation
Teaching hours: 27 | ECTS: 6
Preparation for Graduating Profect
Teaching hours: 27 | ECTS: 6
International Business
Teaching hours: 27 | ECTS: 6
Data sciences specialisation
Object Oriented Application Development
Teaching hours: 27 | ECTS: 6
Web-based application development
Teaching hours: 27 | ECTS: 6
Business intelligence
Teaching hours: 27 | ECTS: 6
Big Data Analytics
Teaching hours: 27 | ECTS: 6
Marketing specialisation
Marketing Research and Analysis
Teaching hours: 27 | ECTS: 6
Customer Data Analysis
Teaching hours: 27 | ECTS: 6
Retail Analytics
Teaching hours: 27 | ECTS: 6
Social Medial Intelligence
Teaching hours: 27 | ECTS: 6
Semester 1 + Semester 2: ECTS 72 credits
Winter session (1 module): ECTS 6 credits
Language courses
French for international students and Foreign language for French students
Teaching hours: 30 | ECTS: 2
Performance during internship
ECTS: 10
Graduating project
ECTS: 30
TOTAL = 120 ECTS