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Official title: Big Data: Data Analytics, Data Science, Data Architecture

CY Tech (ex EISTI)

Training duration

2 years

Average academic cost found without insurance

14 000€

Accréditation:

Accreditation Provider: DGESIP

Prerequisite of the training

Bachelor (or equivalent)

Formation type

  • Initial education

Domains

  • Business Intelligence, Nanomaterials, Data mining, Optimisation

M1 section is taught by

  • EISTI

M2 section is taught by

  • EISTI

Training description

The M1 provides the necessary foundation in computer science and mathematics for M2. We found the three pillars that characterize this master. In addition, we have included essential elements of project management. This year will result in the realization of a transverse project team
As in the M1, we found the three pillars of the master but at expertise level. To train experts in our field, we must give real skills in modeling, design and implementation of computer architecture, data mining and optimization.

Big Data: Data Analytics, Data Science, Data Architecture

Language level prerequisites

The minimum language level required, namely : B1 in English will be verified no later than end of April, 2022 (to be confirmed in your academic offer)

Course language

Only English

Language requirement to graduate

N/A

M1 Part

Location

EISTI
Avenue du Parc
95000 CERGY

Average academic cost found without insurance

7000€

Core

Credits Hours Language
Inferential statistics 3.00 30.00 English
Signals and Systems 2.00 20.00 English
Simulation and Stochastic Processes 3.00 30.00 English
Deterministic and stochastic optimization 3.00 30.00 English
Finite Differences and Partial Differential Equations 3.00 30.00 English
Object-Oriented Modeling (OOM) with UML 3.00 30.00 English
Object-oriented design and programming with Java 3.00 30.00 English
Relational Databases: Modeling and Design 5.00 50.00 English
Architecture and Network Programming 3.00 30.00 English
Parallel programming 3.00 30.00 English
V-Model and AGILE methods 2.00 20.00 English
Transversal Project 4.00 40.00 English
FFL : French as Foreign Language 6.00 60.00 French
Data Analysis 5.00 50.00 English
Introduction to Data Mining 2.00 20.00 English
Operational Research: Linear Optimization 2.00 20.00 English
Combinatory Optimization and Complexity Theory 2.00 20.00 English
Introduction to Prediction Models 2.00 20.00 English
Initiation to Research 1.00 10.00 English
Signal Processing 3.00 30.00 English

M2 Part

Location

EISTI
Avenue du Parc
95000 CERGY

Average academic cost found without insurance

7000€

Core

Credits Hours Language
Cloud Computing and NoSQL 3.00 30.00 English
Web Services 2.00 20.00 English
JEE 2.00 20.00 English
Theory in Business Intelligence 2.00 20.00 English
Practice in Business Intelligence 2.00 20.00 English
Data Mining: Applicative Approach 2.00 20.00 English
Thorough Prediction Models 2.00 20.00 English
Semantic Web and Ontology 2.00 20.00 English
SAS: Entreprise Miner and Big Data 2.00 20.00 English
Social Network Analysis 2.00 20.00 English
Thorough operational research: modeling and business applications 2.00 20.00 English
SAS-OR 1.00 10.00 English
Games theory 1.00 10.00 English
Initiation to Research: Study of a scientific document 1.00 10.00 English
FFL : French as Foreign languages 4.00 40.00 French

Core

Credits Hours Language
Business Internship (from mid-April) of 22 weeks 16.00 150.00 French
Collective Intelligence: Web Mining and Multimedia Indexation 2.00 20.00 English
Text Mining and Natural Language 2.00 20.00 English
Constraint Programming 2.00 20.00 English
Multi-Objective, Multi-Criteria Optimization 2.00 20.00 English
Research Project in Big Data 4.00 40.00 English
FLE: French as Foreign Language 2.00 40.00 French