Lieu des études	France, Cergy
Type	Master, temps plein
Langue d'étude	anglais

Frais de scolarité	7 000 € par année

Conditions d'admission	Licence (ou plus) Official copies of university transcripts and degrees. Copy of identity card/passport. A one page CV. Your letter of interest (max. 2 pages).

Exigences linguistiques	anglais

Autres exigences	Au moins 2 références doivent être fournies. Proof of English language level via an official external exam (TOEIC 800, IBT TOEFL 80, IELTS 6.0)

Plus d'informations	apply.baltic-center.eu

Aperçu

Business Intelligence and Business Analytics have now become key elements of all companies.

The objective of this Master’s program is to train future specialists in Information Systems and Decision Support. The program includes solid content in mathematics- and uses a wide range of computer-based tools, which allows students to deal with real problems, analyze their complexity and bring efficient algorithmic and architectural solutions. Big Data is the ultimate game changer.

The targeted applications concern optimizing the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI Systems architecture. These applications play a major role in most business domains such as logistics, production, finance, marketing, client relation management systems.

The need for trained engineering specialists in these domains is constantly growing and this Master’s program answers this emerging need.

Structure du programme

Semester 1

Skills

Lectures

Hours

ECTS

Computer Technologies

Advanced Data Base 2 (PLSQL, Transaction, Distributed Database)

24

8

NoSQL

20

Machine Learning with Scala

20

Data Exploration

Data Mining Approach (Time series, logistic regression, Bagging Boosting, Random forest, Neural network)

21

7

Semantic Web and Ontology

21

Social Network Analysis

15

Business Intelligence

Advanced BI & Data Visualization

24

4

Operations Research

Forecasting Models

33

5

SAS Analysis

12h

Foreign Languages & HR

FFL: French as a Foreign Language

26

3

PPP: Personalized Professional Project

15

Agile Methodology

7

Autonomous Work

Master thesis preparation

12h per week

3

Total M2: Semester 1

278

30

Semester 2

Skills

Lectures

Hours

ECTS

Data Exploration

Elastic Search Kibana

21

5

Text Mining and Natural Language

18

Deep Learning (Convolutional Neural Network, Tensor flow, Keras, ..)

12

Operations Research

Supply Chain

18

5

Constraint Programming

18

Multi-Objective Optimization

18

Game Theory

10

Software and Architecture

Big Data and Advanced Analytics

42

4

Foreign languages

FFL: French as Foreign language

21

1

Total courses in M2

157

12

Autonomous Work

Master Thesis & Final Project Defence

12h per week

6

Internship (22 weeks minimum)

9

Total M2: Semester 2

30

Opportunités de carrière

A large number of companies need to control BI Systems in order to monitor their activities. Both public and private organizations have to tackle more and more constraints which include new and stricter rules & regulations. Competition is tougher and needs for multiple optimizations are essential for good business practices.

The specialists in this area are looking for experts in the domains of analytics, such as statistics, prediction, data mining, operational research in order to comply with the issues and needs of large companies in areas such as risk, fraud, customer relations and marketing.

The growing and larger demand in these domains offers graduates from this Master’s course numerous and diverse job opportunities –in areas linked to decision support- such as Data Scientists, Consulting Engineers, Research and Development Experts, Tool Design Engineers, BI/Business Analytics Solutions Providers, or simply Users of Business Intelligence tools.

Graduates who wish to specialize in the area of research can start a career in both public and private research centers, find a position as researchers in Higher Education or prepare for additional education at the doctoral level.