English

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


Official Title
Master of Science (MSc) in Statistics for Smart Data

Institute website
http://www.ensai.fr
Program

Prerequisite of the training
Bachelor (minimum)

Formation type
Initial education

Course language
M1 M2
Bilingual French and Other English

The M1 section is taught by
Not provided by the institute

The M2 section is taught by
The institute : ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information

Domains
Sensors, Mathematics (Applied), Data (Big Data), Statistics
Section M1

Location

Campus de Ker Lannrue Blaise PascalBP 37203

Average academic cost found without insurance of 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.

Scholarships M1
none

M1 url
none

Period 1
September - December Language Hours* Credits*
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: a part of (or all) the M1-Period 1 will be replaced by a "n+i" special package designed for foreign student.
See the Methodology Integration Package (PIM) for more informations.
Period 2
January - May Language Hours* Credits*
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.


* The number of course hours may be subjected to slight variations.
* More informations about ECTS credits.
Section M2

Location
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

Average academic cost found without insurance of 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.


Scholarships 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.


Period 1
September - February Language Hours* Credits*
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

Period 2
February - July Language Hours* Credits*
or
Core
Internship en INTERNSHIP 30.00

4 to 6 months


* The number of course hours may be subjected to slight variations.
* More informations about ECTS credits.