Français

ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information

General Presentation
Academic Presentation
Student Life
International Relationship
Introduction

ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information
(National School for Statistics and Information Analysis)

ENSAI is the top graduate school specializing in Statistics in France (a French Grande école, and more specifically, one of the prestigious écoles d’ingénieurs). Historically associated with INSEE (Institut National de la Statistique et des Etudes Economiques, the French National Institute of Statistics and Economic Studies) and with funding from both the French Ministry of Finance and the Ministry of the Economy, ENSAI offers 6 specializations, as well as the possibility of PhD supervision in these specializations by a member of faculty following graduation: 

       Advanced Statistical Engineering
       Biostatistics
       Data Modeling for Spatial Analysis and Health Economics
       Data Science
       Quantitative Marketing and Revenue Management
       Risk Management and Financial Engineering

Admission to ENSAI is usually preceded by two years of post-secondary, intensive preparatory classes in either Mathematics or Economics, followed by nationally competitive examinations. Students can also apply through a few other admission routes, such as after having completed a BSc or the first year of a MSc in a related field. ENSAI's education trains its students to become qualified specialists in Statistics, capable of information processing and analysis. Students acquire threefold expertise in Statistics, Quantitative Economics and Econometrics, and Computer Science, universally recognized in all professional sectors. They become sought-after, highly paid professionals.

Upon completion of the 3-year program, graduates become engineer-statisticians. They obtain the Diplôme d'ingénieur, equivalent to a Master of Science (MSc) in Statistics (representative of a total of 5 years of higher education and 300 ECTS credits). ENSAI has been accredited since 2002 to award this degree by the French Accreditation Board for Engineering Education (the CTI, Commission des Titres d'Ingénieur).

ENSAI has also been accredited by the French Ministry of Higher Education and Research to deliver two Master's degrees:

       Master of Science in Big Data
       Master of Science in Public Statistics

These are two-year programs that are open to French and international students with varying backgrounds. Students can often transfer directly into the 2nd year (level M2) if they have the necessary prerequisites.

---

For the purposes of n+i students, engineer-statistician students (pursuing the diplôme d'ingénieur, or "n+") begin following courses in ENSAI's 2nd-year program (level M1), and with satisfactory results, they continue on to the 3rd-year courses (level M2) with a specialization in one of the six fields listed above.

ENSAI may award n+i students admission to complete either simply a master "n+" (the diplôme d'ingénieur) and/or a master  "i":


> Master "n+":

- Diplôme d'ingénieur de l'Ensai, a graduate-level statistical engineering degree, equivalent to a Master of Science (MSc) in Statistics


> Master "i":

- Master of Science (MSc) in Big Data  (DNM - Diplôme national de master)
(1-year program starting at M2 level for students having successfully completed a minimum of 4 years of higher education and holding at least the equivalent of a BSc in a related field. See program page for all details)


> Additional Master "i" (through double degree agreements with external institutions):

- Master of Science (MSc) in Finance: Advanced Studies and Research in Finance (through agreement with the Institut de Gestion de Rennes [IGR-IAE])
- Master of Science (MSc) in Mathematics and Applications, specialization Mathematical Statistics (in conjunction with the Universities of Rennes 1 and Rennes 2, INSA Rennes, and ENS Rennes)
- Master of Science (MSc) in Public Health, specialization Modeling in Clinical Pharmacology and Epidemiology (through agreement with the Faculty of Medicine at the University of Rennes 1)
- Master of Science in Statistics and Econometrics, specialization Public Statistics (with the University of Rennes 1)


> For more information: ENSAI's International Brochure (in English) (2015)

> Don't hesitate to consult other ENSAI brochures: General Presentation of ENSAI Coming to ENSAI in 2015.

Campus

ENSAI is located on the Ker Lann Campus, near the cosmopolitain city of Rennes, France. A mere 2-hour train ride from Paris by TGV, Rennes is known for its numerous cultural events and festivals, as well as being a lively college city with two major universities plus a number of graduate schools, accounting for some 80,000 students (totaling roughly one third of its population).

Rennes is the capital of Brittany, a region renowned for some of France's most spectacular coastline and landscapes. Brittany is continually ranked among the top places for living, working, and tourism in France.

Home to ENSAI since 1996 and located just outside of Rennes, the green Ker Lann Campus was created in 1990 and now welcomes about one thousand students annually. This technology campus is home to institutions of higher educational, professional training centers, and businesses. The aim of having a joint business and educational park is to encourage contact and partnerships between academia and the professional world. This location is ideally suited and offers pleasant working and living conditions with a wide range of facilities covering accommodation, catering, sporting activities and associations.

Links to tourist information:
 
Highlights
OVERVIEW for Engineer-Statisticians
 
Note: the first-year description is for informational purposes only. N+i students begin taking second-year courses (level M1) directly, followed by third-year courses (level M2).
 
Furthermore, unless otherwise indicated in the course descriptions, all courses are taught in French.

In the first year of study, the core syllabus is composed of courses in Statistics, Mathematics, Computer Science, Economics, Social Sciences, Languages and Management. These courses provide an introduction to the basic knowledge and working methods required to obtain a solid general culture in the respective areas. Teaching in the second and third years builds on this knowledge and these methods, exploring them in greater depth. For this reason, and given that a fair portion of these subjects are new to most students, nearly all of the first year is devoted to the core syllabus.
 
Moreover, in order to ensure that all students have the same level by the end of the first year, it is necessary to differentiate between the students arriving from different selection routes. For this reason, depending on their backgrounds, some students have more classes in Mathematics, Probability and Statistics while others have more classes in Economics and Data Processing. Students learn to apply their knowledge acquired during this first, crucial year of study through a group project in Statistics as well as a Personal Project in Economic Theory. Professionals as well as permanent ENSAI teachers supervise these projects.
 
> Download complete First-year Course Catalog (in French; English course titles available in "Curriculum" thematic page of International Brochure)
 
Students go on a  First-year Internship at the end of their first year. This internship lasts at least four weeks and can start in late June. The aim is to allow students to discover the workplace and its social organization.
                                                                                  ~~~
 
The second year of study (level M1) is composed of fundamental and optional elective courses including advanced theories topics in Statistics. Second-year courses carry on from the first-year studies with a combination of introductory and in-depth classes. While some courses are compulsory and form the core syllabus, others are chosen as options to enable students to begin specializing in one of the principal domains in which Statistics is used. Students make their choices on the basis of their intended third-year specialization. They learn the techniques essential for their future professions as statisticians, including classes in high-level computer language such as SAS, SPSS, C++, and Java. Students learn to apply their wide range of knowledge acquired during their first two years of study through group projects (Project in Statistics, Computer Science Project), using real-life data. These projects are monitored by professionals as well as academics.
 
> Download complete Second-year Course Catalog (lefthand side of page)
 
Note: the 1st semester of the 2nd-year is highly adapted to each n+i student, can be modified on an individual basis, and therefore can change with each student. It also includes FLE [français comme langue étrangère] courses.
 
However, it is extremely important and advantageous for any n+i student entering ENSAI's 2nd year of study (M1) to come having already learned the following:

- basics of Algorithmics (les bases de l'algorithmique)
- Databases normalization & SQL requests (la normalisation des Bases de données et les requêtes SQL)
- main UML 2.0 diagrams (les principaux diagrammes UML 2.0)
- basics of object-oriented programming (les principes de base de la programmation orientrée objet)
 
The end of the 2nd year leads to the Applied Statistical Internship lasting at least 8 weeks, starting in June. This internship must be carried out within a business in the competitive sector, a public or private research center, local government administration or authority. The essential objective of this internship is to ensure the practical application of the educational training dispensed at ENSAI during the (first and) second year(s)of study, particularly in the statistical field. The following are examples of internship themes: statistical analysis and SAS programming; the development of statistical tools for the evaluation of nutritional programs on test; clinical data management and statistical analysis; credit card analytics; statistical software development for generalized linear and non-linear mixed models.
 
                                                                                           ~~~
 
The third year of study (level M2) seeks to provide students with a specialization in one area of advanced statistical applications, while at the same time introducing them to the professional world. Most of the teachers are from the professional sector, giving students an introduction to the sort of problems they will handle after graduation. This introduction is completed by professional seminars which are held throughout the year to complement theoretical classes. The following six specializations are offered: 
 
 
> Download complete course catalogs (program) for each specialization on the website, under "Academics: Third Year" (lefthand side of page)
 
In third year, the End-of-studies Internship adds a new professional dimension to the students' scientific studies. Beginning in April and lasting 5 to 6 months, this internship enables the students to apply what they have learned in their third year of specialized studies. Students work in the statistical, I.T., or economics departments of public or private companies in France or abroad, and learn how to draw on what they have learned and discover their future professional environment. Students write up a report on this period and then have an oral defense in November. The jury, or examining board, then decides whether or not to validate their internship on the basis of the report from the president of the jury.

Professional Network

ENSAI's corporate partnerships

To help students enter the To help students enter the professional world, ENSAI has put at its students’ disposal a vast network of professional contacts, both domestic and international. ENSAI seeks professional partners in order to:

       - promote networking between students, graduates, professors, and executives
       - create synergy through common actions concerning research, communication, internship opportunities, graduate recruitment, and teaching

ENSAI’s domestic corporate partners include: ACP, Air Liquide, Amaris, Anaya, Banque de France, BIPE, Bluestone, BNP Paribas Personal Finance, CGET, Crédit Agricole S.A., Crédit Agricole 35, Ined, Inserm, IPP, Karavel, Keyrus Biopharma, Médiamétrie, Quintiles, Semsoft, Servier, French Statistical Society (Société Française de Statistique - SFdS), Société Générale, Soft Computing S.A., Solocal Group, SNCF, Unédic

Business Networking Forum
This annual event every November brings together current ENSAI students and professionals from more than 40 businesses (many of whom are represented above). This highly anticipated event allows graduate students to acquire valuable information about employment and internship opportunities, and even to start networking for their future careers.

 

Internships Abroad

ENSAI engineer-statistician students not only regularly go abroad for their internships but often choose to puruse international internship opportunities even after completing their mandatory period abroad. The following is a non-exhaustive list of companies/organizations abroad where ENSAI students have completed their internships: 

- Canada: Statistics Canada, University of Montréal - Faculty of Veterinary Medicine, Institut national de santé publique du Québec (INSPQ)

- China: BNP Paribas Hong Kong, Tongji University, Agricultural Bank of China, Northeast Securities Co Ltd,

- Germany: European Central Bank, Federal Statistical Office of Germany, ATS GmbH, Sanofi-Aventis  GmbH, Kissel & Wolf GmbH, ATS Computersysteme GmbH

- India: World Health Organization

- Ireland: Voluntary Health Insurance Company (VHI), Central Statistics Office (CSO), University College Dublin, Forfas

- Luxembourg: Eurostat, Dexia BIL, PricewaterhouseCoopers

- New Zealand: Auckland University of Technology,

- Spain: Vistaprint España, Portaventura, Center for Research in Environmental Epidemiology, Instituto Nacional de Estadistica, IDESCAT -  Statistical Institute of Catalonia

- Switzerland: World Health Organization, Nestlé, United Nations Economic Commission for Europe, Averion International

- United Kingdom: Amaris, Dunnhumby, Creativ-Ceutical, GlaxoSmithKline, Millward Brown UK, HSBC Bank, Eurostar, Clarins, British Airways, Office for National Statistics (ONS), I3 Innovus, University of Aberdeen,  University of Southampton, Emnos UK Ltd.

- United States of America: Library of Congress, Sabre Research Group, Columbia University, University of California - San Francisco, University of California - Santa Barbara, Colorado State University (CSU), Stony Brook University, Rutgers University, University of Northern Iowa (UNI),  Société Générale (NYC), American Express, The NPD Group Inc.

Registration

ENSAI has been a member of the n+i Network since 2008 and regularly welcomes students.

At ENSAI, n+i students (with the exception of the MSc of Big Data progarm) enter directly into the second-year courses (level M1), followed by third-year courses (level M2) during their last year.

Important Dates

"N+i" Network students may come to study for 2 years at ENSAI to complete a Master "n+" (ENSAI's diplôme d'ingénieur), and/or a Master "i" (entry into ENSAI's 2nd year/equivalent to 1st year of a Master's), or one of ENSAI's two Master of Science degree programs.

Students interested in coming to ENSAI should follow the general "N+i" application guidelines and procedures (ie. create a profile and choose ENSAI as one of their preferred institutions). ENSAI considers candidates from all found selection rounds. and must apply.

N+i students must arrive at the ENSAI at the beginning of the first week of September when the academic year for second-year students begins (the year into which n+i students integrate).


Academic Calendar (Exact dates to be published at www.ensai.fr every Spring for following year):

Second Year for Engineer-Statistician Students (2A)
(M1/first year of graduate-level studies):
> First semester: first week of September* – first week of January
> Second semester: second week of January – late June (end of May if no resits)
   + 2-month internship (July + August)

Third Year for Engineer-Statistician Students (3A) (M2/last year of graduate-level studies):
> First week of September – end of March
> 5-6 month internship: April - August/September

MSc in Big Data Students (M2/last year of graduate-level studies):
> First semester: first week of September – mid-December
> Second semester: early January – mid-April
   + 5-month internship (May - September)

All students:
> All Saints' break: 1 week in October/early November
> Christmas break: 2 weeks in late December/early January
> Winter break: 1 week in late February/early March
> Spring break: 1 week in March/April (except MSc in Big Data students)

Scholarships

Foreign students through n+i may be eligible for the scholarships available from the "n+i" Network (Bni). Other than those, there are also some possibilities:

•    International students are entitled to an accommodation allowance (APL/ALS) from the French government to help with the cost of rent (see Accommodation section).

•    Gustave Eiffel scholarships from the French government (BGF) for international students admitted to a degree awarding program and showing proof of outstanding academic performance (application deadline in December).

•    French Embassy scholarships program: For more information contact the local French Embassy.

When other foreign students (non-n+i students) come to ENSAI, other grants or scholarships they may receive come from their home country and/or sending institution (if they're studying abroad temporarily from another university or engineering school).

Tuition

Annual Tuition/Registration Fees (frais de scolarité/inscription):

Master "n+" (Diplôme d'ingénieur):
€1800*
+ €285* student health insurance coverage (mandatory)
 
For all Master "i" except MSc in Big Data:
€1800*
+ additional specific program cost (see each program's specific cost under Academic offering)
+ €285* student health insurance coverage (mandatory)


*Students who receive ENSAI's grant based on financial need (see above) are exempt from these fees.


For MSc in Big Data (Master "i")
:
€8,000**
+ €285  student health insurance coverage (mandatory)

Students following the MSc in Big Data program are not eligible for ENSAI's grant based on financial need.

** Depending on candidate’s status. See MSc in Big Data brochure for details.

---

To find out more about the Cost of Living while studying at ENSAI, please consult the "Practical Life" section (pg. 11-14) of ENSAI's International Brochure (in English).

NB. Students are not required nor expected to buy books, except for certain optional language courses (roughly €20-30 per book, in this case).

Master disponible
Student Life

Through various channels, ENSAI welcomes many different foreign students. There is a network of associations in the city of Rennes to welcome and help you once you arrive, such as the Rennes International Mobility Center (CMI) (Centre de mobilité internationale de Rennes), which organizes cultural excursions and events like the Tam-Tam Festival, a series of welcome days for new foreign students.

> ENSAI's International Brochure (in English) (2015)
> CampusFrance - Come Study in France
> The International Student's Guide to Rennes (comprehensive French-English bilingual guide, courtesy of the CMI in Rennes)
> Ker Lann Campus Welcome Guide
> Map of Ker Lann Campus

---

As for student life at ENSAI, associations play an important role:

Students’ Union
The Student Union (bureau des élèves) co-ordinates all the student associations. It oversees the running of a number of clubs: bridge, cinema, chess, music, photo, skiing, theatre, rock, humanitarian, lectures, debates, and games. It manages the school cafeteria and organizes Freshers’ Weekend, the annual ski trip, and cultural and entertainment evenings; it also has its own publication (Plaquette Alpha).
> Students' Union 2014 brochure

ENSAI Gala Association
This organization plans the annual ENSAI Gala. More than just an event, the Gala is organized by the students themselves. This annual tradition allows for students of all generations and graduating classes to come together in a festive atmosphere. The evening almost always has a theme, accompanied by various eclectic activities.

ENSAI Junior Consultant (Junior-Entreprise)
ENSAI Junior Consultant functions as an actual consulting firm, where students provide companies and local authorities with advanced studies using their tri-fold skills in the fields of Statistics, Computer Science, and Economics.
> Junior Entreprise's Lip Dub

Business Networking Forum Association
This association is responsible for fostering and maintaining contact between students and the professional world through organizing professional networking days and forums between students and professionals, as well as lectures and debates.

ASCAS - Alumni Association
The ENSAI Alumni association, ASCAS, encourages contact between the school, current students, +4,000 alumni, and companies. It organizes networking events and activities, publishes a magazine and alumni directory, helps welcome new students and sits on the various school boards (Improvement Council, Teaching Committee, etc).

Inter-School Cultural and Sporting Association
This association brings together the three Grandes Ecoles on the Ker-Lann campus: the School of Environmental Engineering (EME, Ecole des Métiers de l’Environnement), ENS Rennes (Ecole Normale Supérieure de Rennes) and ENSAI. The association is a member of the French University Sports Federation, and it allows students to play sports competitively or for recreation, and to participate in cultural activities.

Improv’ENSAI Association
This improvised drama association organizes drama games and exercises to bring students together. It thus seeks to develop team spirit, stage awareness, and self-confidence and fluency when appearing in public.

Accommodation

Accomodation

All Ker Lann Campus residence halls are open to foreigners as well as French students.

ENSAI highly recommends that n+i students rent studios with Résidence Univercity, a residence hall particularly acute to the needs of foreign students (contact: +33 2 99 05 92 10, bruz@arpej.fr). Former n+i students have always been highly satisfied with the quality of personalized services at this residence hall.

All newly admitted students should reserve accommodation as early as possible in the summer preceding their arrival, as vacancies are scarce by August.

Students can also apply for lodging in the residence halls in Rennes.

Alternatively, students may also independently search for and secure privately-owned accommodation off-campus (in Rennes or surrounding towns).

The accommodation office of the student mutuelles (complementary health insurance coverage) also offers a certain number of places. SMEBA, one of the student insurance mutuelles, has an accommodation office with ads for student rental accommodation that can be consulted free of charge all year round. In order to take up one of these offers you have be a SMEBA member and take out their University Insurance coverage.

Students can also go to the Student Accommodation Centre in Rennes upon arrival;  it is open every year from early July to late October at 3 place Saint Melaine in Rennes. This Centre is a joint partnership between Rennes Municipality, the Compagnie Générale des Eaux, France Télécom, the MNEF, the Centre d’Information Jeunesse Bretagne (CIJB), the Transport Rennais (STAR) network and the Agence Départementale pour l’Information sur le Logement (ADIL).

There are various accommodation halls and studio appartments in the surrounding area, as well as some local authority appartments.


Dining

All students at the school are entitled to enjoy the various facilities organized by the CROUS, Centre régional des œuvres universitaires et scolaires (a regional organization providing student grants, accommodation and  dining halls). The ENSAI student card gives access to the dining halls for lunchtime on the campus and in Rennes. ENSAI students pay the student rate (full, 3-course meal for approximately €3). In addition, there are restaurants on and near the campus.

Accommodation fees

Depending on the type of housing chosen, the residence halls on the Ker Lann Campus (Bruz) and in Rennes usually range in price from €400 - €550 per month to rent a private, student studio flat; depending on the price and if they're shared flats with kitchens, these can range in size from 15-30 m2. Sharing an apartment with other students in Rennes is usually less expensive.

However, international students in France (like French students) are entitled to an accommodation allowance, or rent subsidies from the French government to help with the cost of monthly rent. This allowance comes from the CAF (Caisse d'Allocations Familiales) in the form of Aide au logement, otherwise known as APL/ALS. Students must wait to apply for this until after they have arrived in France, begun studies, opened a French bank account, and secured permanent accommodation. Full eligibility entitles students to benefit from approximately €200 per month (amount reimbursed to student retroactively starting during second month of residence); so the net cost of rent works out to be approximately €200 - €350.

To find out more about the Cost of Living while studying at ENSAI, please consult the "Practical Life" section (pg. 11-14) of ENSAI's International Brochure (in English).

Some figures

At ENSAI, approximately 18.3% of the student body* is composed of foreign students (transfer students, students from exchange programs, foreigners having been admitted from the competitive exams, etc.).

All of our foreign students have studied engineering and/or Applied Mathematics beforehand and are thus well prepared to follow the curriculum.

* 2014-2015 academic year

To find out more, please consult:

- ENSAI's International Brochure (in English) (2015)

 
Other key figures about ENSAI:

- 414 students in total, of which 240 engineer-statistician students (including 53 foreigners), 94 INSEE civil servant student statisticians, and 80 students in the Master of Public Statistics program.
- Foreign students (exchange programs and degree-seeking): 18.3%
- 21 permanent lecturers
- 475 professional teachers from the corporate, academic and civil service arenas
- 39 administrative and technical staff
- 2 in-house research teams (laboratoires)
- 5 French and international PhD students
- 7,250 m2 of buildings
- 162 computers for student use
- 165-hectare campus, 98 of which are developed (60%)
- 16 Erasmus+ bilateral agreements signed with academic institutions in 7 European countries, plus agreements in the USA, Morocco, Tunisia, and China
- 31.4% of all engineer-statistician internships were completed abroad in 2014
- 100% of engineer-statistician students complete obligatory 4-week period abroad (internships or studies) (n+i foreign students can be exempt of this graduation requirement)
- 98% net employment rate for engineer-statisticians polled one year after graduation

Partnership with n+i

ENSAI has been a member of the n+i Network since 2008 and regularly welcomes students.

At ENSAI, n+i students (with the exception of the MSc of Big Data progarm) enter directly into the second-year courses (level M1), followed by third-year courses (level M2) during their last year.

Affiliations

ENSAI has been awarded the Erasmus Charter for the Erasmus+ Program 2014-2020/21.

Erasmus Annex/Data Sheet (for inter-institutional agreements)
Erasmus Strategy Statement (in French)

Sixteen Erasmus agreements have been established with higher education institutions in seven European countries: Aarhus Universitet (Denmark); Technische Universität Dortmund, Ludwig-Maximilians-Universität München, Humboldt Universität zu Berlin (Germany); University of Limerick Ireland); Università di Bologna, Università degli Studi di Palermo (Italy), Academia de Studii Economice din Bucuresti (Romania); Universitat de Barcelona, Universidad de Sevilla, Universitat Polytècnica de Catalunya - UPC (Spain); and University of Sheffield, University of Southampton, University of Glasgow, Queen Mary, University of London, University of Warwick (United Kingdom).

An agreement through the Franco-German University program (Université Franco-Allemande - UFA) allows students to complete their third academic year following an all-English curriculum at either Humboldt Universität zu Berlin or the Universität Mannheim in Germany with the aim of obtaining degrees from both ENSAI and the respective German institution. Additionally, double degree partnerships signed with Tongji University in Shanghai (China), the Institut National de Statistique et d'Économie Appliquée (INSEA) in Rabat (Morocco), and the École Supérieure de la Statistique et de l'Analyse de l'Information (ESSAI) in Tunis (Tunisia) allow their students to study at ENSAI during their final two years of graduate studies (Master 1 and 2 level) in order to receive degrees from both institutions. An agreement with the University of Southampton offers students the opportunity to complete their third academic year studying in the Department of Economics at Southampton to receive a MSc in Economics and Econometrics.

In the United States, agreements with Colorado State University (CSU) and the University of Northern Iowa (UNI) allow select students to spend a gap year studying between their second and third academic years (in between their M1 and M2, or [post]graduate studies) at one of these American universities. Moreover, a partnership with Rochester Institute of Technology (RIT) in New York state allows select ENSAI students to complete the second semester of their second year of studies at this institution.

ENSAI continually seeks out ways in which to expand the offering of international opportunities for its students. In addition to double degrees and bilateral agreements, ENSAI also signs various agreements with strategic partners, such as the MoU (memorandum of understanding) with East China Normal University (ECNU) in Shanghai (China).

Motivated students have been known to complete their third year of studies in a foreign university which has not signed an agreement with ENSAI but whose program has been approved as equivalent or compatible. Through these cooperations, students in the past have attended institutions such as: Université de Montréal (UdeM) in Québec (Canada); Columbia University (NY, USA); London School of Economics and Political Science (LSE), Imperial College London, University of Essex, The University of Warwick, University of York (United Kingdom); and University of Vienna (Austria).

Official website
Visit the official website at
http://www.ensai.fr

Représentant n+i
Esther LALAU-KERALY