Français

Master i ENSAI Sensors, Mathematics (Applied), Data (Big Data), Statistics


Titre officiel
Master of Science (MSc) in Statistics for Smart Data

Site web de l'école
http://www.ensai.fr
Programme

Pré-requis de la formation
Bachelor (minimum)

Type de formation
Formation initiale

Langue d'enseignement
M1 M2
Bilingue Français et Autre Anglais

La partie M1 est enseignée par
Non enseigné mais soumis à reconnaissance

La partie M2 est enseignée par
L'établissement : ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information

Mots clés
Sensors, Mathematics (Applied), Data (Big Data), Statistics
Partie M1

Lieux

Campus de Ker Lannrue Blaise PascalBP 37203

Coût académique moyen constaté hors assurance du M1
0 euros

Description M1
There is no M1 for this program at ENSAI. Students may complete the first year of the Master’s degree (ou 4th year of higher education) at any university and apply for this program.

Ideal candidates applying to the M2 year should have completed a minimum of four years of higher education in the fields of Applied Mathematics, Computer Science, or Statistics. In their previous/current studies, candidates would have ideally already acquired preliminary knowledge in as many of the following areas as possible: fundamental mathematical knowledge of statistics, probability, numerical methods, statistical software, databases, object-oriented programming, inferential statistics and tests, linear models, web technologies, and application projects.

Bourses M1
none

M1 url
none

Période 1
September - December Langue Heures* Crédits*
or
Core
No M1 is offered at ENSAI en 0.00 0.00

See http://www.ensai.fr/academics/msc-in-statistics-for-smart-data.html for more information

Note: tout ou partie du M1-Période 1 sera remplacée par un package "n+i" spécialement conçu pour les élèves étrangers. Voir le Package d'Intégration Méthodologique (PIM) pour plus d'informations.
Période 2
January - May Langue Heures* Crédits*
or
Core
No M1 is offered at ENSAI en 0.00 0.00

See http://www.ensai.fr/academics/msc-in-statistics-for-smart-data.html for more information.


* Les heures de cours indiquées peuvent être soumis à de légères variations.
* Plus d'informations sur les crédits ECTS.
Partie M2

Lieux
ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information
ENSAI
Campus de Ker Lann
Rue Blaise Pascal - BP 37203
35172 Bruz Cedex
France

Coût académique moyen constaté hors assurance du M2
8000 euros

Description M2
The structure of this all-English Master's program is the following: 1 semester of coursework at ENSAI, followed by a four to six-month paid internship in France or abroad within the professional world or academia/research laboratories. A one-month French language program precedes the start of the program.
Throughout the program, students will:
- Learn the theoretical aspects and the practical skills needed to become a Data Scientist in order to meet the growing needs of a large variety of companies and organizations, such as retailers, manufacturers, financial markets, insurance companies, healthcare providers, or public administrations
- Acquire the necessary tools to handle and analyze massive amounts of heterogeneous data
- Master the statistical methods essential for rapidly extracting information from multiple datasets and the IT methods suitable for stocking the data
ENSAI’s program goes beyond Big Data; it has shifted its emphasis to Smart Data, thus meeting the vital challenge of smart sensing and smart processing of the plethora of data available. Smart Data focuses on revealing the Value and Veracity from the Volume, Variety and Velocity of Big Data.
Thanks to ENSAI’s renowned expertise in Data Science and its innovative approach in training specialists to process and analyze data, strong links have been built with the professional world and graduates are highly sought after.


Bourses M2
Here are some other elements/possibilities to consider: 1) International students are entitled to an accommodation allowance (APL/ALS) from the French government to help with the cost of rent (approximately 180€/month allocation). 2) Gustave Eiffel scholarships from the French government for international students admitted to a degree awarding program and showing proof of outstanding academic performance (application deadline in December). 3) French Embassy scholarships program: For more information contact the local French Embassy. 4) Foreign students often receive scholarships from their home country and/or sending institution.


Période 1
September - February Langue Heures* Crédits*
or
Core
Non-homogeneous Markov Chains en 24.00 2.00

Graphical Networks & Dynamic Networks en 24.00 2.00

Dynamic Data Visualization en 12.00 1.00

Machine Learning: Features Selection en 24.00 2.00

Deep Learning en 24.00 2.00

Parallel Computing with R & Python en 12.00 1.00

Smart Sensing: Foundations en 24.00 2.00

Applications of Smart Sensing en 36.00 3.00

High-Dimensional Time Series en 30.00 2.50

Functional Data: Applications to Smart Grids en 30.00 2.50

IT Tools 1: Spark, NoSQL, Haadoop en 30.00 2.50

IT Tools 2: GNU Linux, Shell Scripting, Cloud Computing) en 30.00 2.50

Energy Transitions: Quantitative Aspects en 12.00 1.00

Smart Data Project en 24.00 2.00

8 semaines

Conferences en 24.00 2.00

Période 2
February - July Langue Heures* Crédits*
or
Core
Internship en STAGE 30.00

4 to 6 months


* Les heures de cours indiquées peuvent être soumis à de légères variations.
* Plus d'informations sur les crédits ECTS.