Master's program in Big Data
| Studienort | Frankreich, Cergy |
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| Art | Master, Vollzeit |
| Studiensprache | Englisch |
| Studiengebühren | 7.000 € pro Jahr |
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| Einstiegsqualifikation | Bachelor-Abschluss (oder höher) Official copies of university transcripts and degrees. |
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| Sprachanforderungen | Englisch |
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| Sonstige Voraussetzungen | Mindestens 2 Referenz/en soll/en angegeben werden. Proof of English language level via an official external exam (TOEIC 800, IBT TOEFL 80, IELTS 6.0) |
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| Weitere Informationen |
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Übersicht
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.
Programmstruktur
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
Karrieremöglichkeiten
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.