Master i CY Tech Business Intelligence, Nanomaterials, Data mining, Optimisation
- Bachelor
- Master
- PostMaster
Official title: Big Data: Data Analytics, Data Science, Data Architecture
CY Tech
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
- CY Tech
M2 section is taught by
- CY Tech
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 teamAs 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, 2025 (to be confirmed in your academic offer)
Course language
Only English
Language requirement to graduate
N/A
M1 Part
Location
CY Tech
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
CY Tech
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 |
