| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language: | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language: | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Established: ENSAI was founded in 1994 as part of the National Institute for Statistics and Economic Studies (INSEE).
Origins: It was created to address the growing need for highly skilled statisticians and data analysts in France and internationally.
Evolution: Over the years, ENSAI has expanded its curriculum and research capabilities, adapting to advancements in the fields of statistics, data science, and information analysis.
Institution Type: ENSAI is one of the prestigious Grandes Écoles in France, known for its specialized education in statistics, data analysis, and information processing.
Affiliation: It is part of the Group of National Schools of Economics and Statistics (GENES), which includes other prominent institutions like ENSAE (École Nationale de la Statistique et de l'Administration Économique).
Location: ENSAI is located in Bruz, near Rennes, in the Brittany region of France.
Programs Offered: ENSAI offers comprehensive programs at the undergraduate, graduate, and doctoral levels, focusing on statistics, data science, and related fields.
Engineering Degree in Statistics: A rigorous three-year program following two years of preparatory classes or an equivalent degree. This program covers advanced topics in statistics, economics, computer science, and data analysis.
Master's Degrees: Specialized master's programs in various fields such as statistics, econometrics, and data science.
Ph.D. Programs: Advanced research degrees in collaboration with other institutions, focusing on cutting-edge research in statistics, data science, and information analysis.
ENSAI is at the forefront of research in statistics, data science, and information analysis. The school’s research activities are organized through several dedicated laboratories and research centers.
Statistical Theory: Development of new statistical methods and theories to address complex data analysis problems.
Econometrics: Application of statistical methods to economic data to model and analyze economic phenomena.
Data Science: Research in big data analytics, machine learning, artificial intelligence, and data mining.
Information Processing: Techniques for handling and analyzing large volumes of information, including data security and privacy.
CREST (Center for Research in Economics and Statistics): ENSAI collaborates with CREST, a leading research center in economics and statistics, to advance knowledge and innovation in these fields.
International Collaborations: ENSAI partners with universities and research institutions worldwide, fostering international research projects and academic exchanges.
Industry Partnerships: The school maintains strong ties with industry, providing opportunities for collaborative research, internships, and applied projects that address real-world challenges.
Cutting-Edge Tools and Technologies: ENSAI incorporates the latest tools and technologies in its curriculum and research, ensuring students and researchers are proficient in modern data analysis techniques.
Applied Research: The school emphasizes applied research that translates theoretical advancements into practical solutions for industry and government.
Professional Integration: ENSAI’s programs are designed to meet the demands of the job market, with a strong focus on professional integration and employability of graduates.
Duration: 3 years (following 2 years of preparatory classes or an equivalent degree)
Structure:
Year 1: Core courses in mathematics, probability, statistics, economics, and computer science.
Year 2: Advanced courses in statistical methods, econometrics, machine learning, and data analysis.
Year 3: Specialization courses, elective modules, internships, and a final project.
ENSAI offers specialized master's programs that focus on various aspects of statistics, econometrics, and data science.
Master in Statistics and Econometrics
Duration: 2 years
Focus: Advanced statistical methods, econometric modeling, and applications in economics and finance.
Components: Coursework, research projects, and a master’s thesis.
Master in Data Science
Duration: 2 years
Focus: Big data analytics, machine learning, artificial intelligence, and data mining.
Components: Coursework, practical data science projects, and a master’s thesis.
Master in Health Data Science
Duration: 2 years
Focus: Statistical methods and data analysis in healthcare, epidemiology, and biostatistics.
Components: Coursework, internships, and a master’s thesis.
These programs are aimed at professionals looking to enhance their skills in specific areas of statistics and data analysis.
Mastère Spécialisé in Big Data
Duration: 1 year
Focus: Techniques and tools for big data processing, storage, and analysis.
Components: Intensive coursework, practical projects, and a final project.
Mastère Spécialisé in Risk Management
Duration: 1 year
Focus: Statistical methods for risk assessment, management, and mitigation in finance and insurance.
Components: Coursework, case studies, and a final project.
ENSAI offers doctoral programs in collaboration with other institutions, focusing on advanced research in statistics, econometrics, and data science.
Ph.D. in Statistics
Duration: 3-4 years
Focus: Original research in statistical theory, methodology, and applications.
Components: Research work under the supervision of faculty, leading to a doctoral dissertation.
Ph.D. in Econometrics
Duration: 3-4 years
Focus: Advanced research in econometric methods and their applications in economics and finance.
Components: Research work, seminars, and a doctoral dissertation.
Ph.D. in Data Science
Duration: 3-4 years
Focus: Cutting-edge research in data science, machine learning, and artificial intelligence.
Components: Research work, practical projects, and a doctoral dissertation.
Course Program Name |
Duration |
Tuition Fees per Year (in USD) |
|---|---|---|
|
Engineering Degree in Statistics (Preparatory Cycle) |
2 years |
$3,500 USD |
|
Engineering Degree in Statistics (Engineering Cycle) |
3 years |
$3,500 USD |
MHTM (Master of Hospitality and Tourism Management) in France
Course Program Name |
Duration |
Tuition Fees per Year (in USD) |
|---|---|---|
|
Master in Statistics and Econometrics |
2 years |
$4,000 USD |
|
Master in Data Science |
2 years |
$4,000 USD |
|
Master in Health Data Science |
2 years |
$4,000 USD |
|
Mastère Spécialisé in Big Data |
1 year |
$5,000 USD |
|
Mastère Spécialisé in Risk Management |
1 year |
$5,000 USD |
Course Program Name |
Duration |
Tuition Fees per Year (in USD) |
|---|---|---|
|
Ph.D. in Statistics |
3-4 years |
$500 USD |
|
Ph.D. in Econometrics |
3-4 years |
$500 USD |
|
Ph.D. in Data Science |
3-4 years |
$500 USD |
High-Quality Education: ENSAI is renowned for its rigorous academic programs in statistics, data analysis, and information processing. The curriculum is designed to provide students with a strong foundation in theoretical knowledge and practical skills.
Experienced Faculty: The school boasts a faculty of experienced professors and researchers who are experts in their fields, ensuring high-quality instruction and mentorship.
Research Opportunities: ENSAI offers extensive research opportunities through its state-of-the-art laboratories and research centers. Students can engage in cutting-edge research projects, often in collaboration with industry partners and international institutions.
Industry Partnerships: ENSAI maintains strong links with local and international industries, providing students with valuable internship opportunities, industry projects, and potential employment after graduation.
Diverse Student Body: ENSAI attracts students from all over the world, creating a multicultural and inclusive environment. International students have the opportunity to interact with peers from diverse backgrounds, enhancing their global perspective.
Language Support: While many courses are taught in French, ENSAI offers language support programs to help international students improve their French language skills. Some courses and programs may also be available in English.
Exchange Programs: ENSAI participates in international exchange programs such as Erasmus+, allowing students to study abroad and gain international experience. The school has partnerships with universities worldwide, facilitating student and faculty exchanges.
Clubs and Societies: ENSAI offers a variety of student clubs and societies catering to different interests, including data science clubs, sports teams, cultural groups, and more. These clubs provide opportunities for students to pursue hobbies, develop new skills, and socialize with peers.
Sports and Recreation: The school provides excellent sports facilities, including a gym, sports fields, and courts for activities such as basketball, soccer, tennis, and more. Regular sports events and tournaments promote physical fitness and team spirit.
Cultural Events: ENSAI organizes and participates in numerous cultural events, exhibitions, and festivals that celebrate diversity and promote cultural exchange. These events provide platforms for students to showcase their talents and learn about different cultures.
Academic Events: Regular seminars, workshops, and guest lectures are held, providing students with opportunities to learn from industry experts and stay updated on the latest developments in their field.
Support Services: ENSAI provides a range of support services, including academic advising, career counseling, health services, and accommodation assistance, ensuring the well-being and success of its students.
French Culture: Studying at ENSAI allows international students to immerse themselves in French culture, language, and traditions. Rennes, located in Brittany, offers a rich cultural heritage and a vibrant local community.
Historical and Scenic Location: Rennes is a historic city with beautiful architecture, parks, and numerous outdoor activities. Students can explore the city’s landmarks, museums, and enjoy the vibrant cultural scene.
Local Cuisine: Students can enjoy the diverse and delicious local cuisine, including regional specialties such as galettes, crepes, and seafood.
Community Engagement: ENSAI encourages students to engage with the local community through volunteer work, cultural exchanges, and community projects, fostering a sense of social responsibility and cultural awareness.
Application Submission
Online Application: Complete and submit the application form available on the ENSAI website.
Application Fee: Pay any applicable application fees.
Documents Required:
Academic transcripts and diplomas.
Proof of language proficiency.
CV/Resume.
Motivation letter.
Letters of recommendation (if applicable).
Research proposal (for Ph.D. applicants).
Evaluation of Applications
The admissions committee reviews applications based on academic performance, language proficiency, motivation, and alignment with program requirements.
Entrance Examination/Interview (if applicable)
Some programs may require an entrance examination or an interview to assess the applicant’s suitability.
Admission Decision
Successful applicants will receive an official offer of admission from ENSAI.
Accepted students need to confirm their acceptance and proceed with visa applications and other preparations.
Language Preparation: Improve French language skills through courses or self-study to meet proficiency requirements.
Document Preparation: Ensure all required documents are translated (if necessary) and certified.
Financial Planning: Prepare for tuition fees, living expenses, and other costs associated with studying in France.
Primary Intake: September
Secondary Intake: Limited programs may offer a February intake.
High School Diploma: Equivalent to the French Baccalauréat, with strong performance in mathematics, economics, and other relevant subjects.
Preparatory Classes: Completion of two years of preparatory classes (Classes Préparatoires) or an equivalent degree is typically required.
Language Proficiency: Proficiency in French (typically B2 level according to the Common European Framework of Reference for Languages). Proof through recognized tests like DELF or TCF might be required.
Bachelor’s Degree: Relevant degree in statistics, mathematics, economics, computer science, or a related field.
Academic Records: Strong academic background in relevant subjects.
Language Proficiency: Proficiency in French (B2 level) and/or English, depending on the program. Proof through recognized tests like DELF, TCF, TOEFL, or IELTS might be required.
Master’s Degree: Relevant Master’s degree in statistics, mathematics, economics, computer science, or a related discipline.
Research Proposal: Well-defined research proposal aligned with ENSAI’s research areas.
Academic Records: Strong academic and research background.
Language Proficiency: Proficiency in French or English, depending on the research requirements.
Scholarship Name |
Eligibility Criteria |
Benefits |
Application Process |
|---|---|---|---|
|
Eiffel Excellence Scholarship |
International students, academic excellence |
Monthly stipend, travel expenses, health insurance, tuition fee waiver |
Apply through ENSAI during application process |
|
ERASMUS+ Scholarship |
EU and non-EU students participating in exchange programs |
Monthly stipend, travel allowance |
Apply through home university’s international office |
|
Charpak Scholarship |
Indian students, merit-based |
Monthly stipend, tuition fee waiver, visa fee waiver |
Apply through the French Embassy in India |
|
ENSAI Merit Scholarships |
Outstanding academic record, all nationalities |
Partial tuition fee waiver |
Apply directly to ENSAI after admission |
|
Regional Scholarships (Brittany Region) |
International students, financial need |
Financial aid, living expenses |
Apply through ENSAI or regional government websites |
|
Campus France Scholarships |
Varies (merit, financial need, specific countries) |
Varies (tuition fee waivers, stipends) |
Apply through Campus France office in home country |
Facility |
Description |
Cost |
|---|---|---|
|
On-Campus Residences |
Student dormitories with single or shared rooms, including basic furnishings and shared amenities |
$250 - $450 USD per month |
|
Off-Campus Housing |
Apartments or shared houses near campus, varying in size and amenities |
$350 - $700 USD per month |
|
Student Cafeteria |
On-campus dining options offering meals at subsidized rates |
$5 - $7 USD per meal |
|
Library |
Extensive collection of academic resources, study spaces, and computer access |
Included in tuition fees |
|
Sports Facilities |
Gym, sports fields, and courts available for student use |
Included in tuition fees |
|
Laboratories and Workshops |
State-of-the-art facilities for practical and research activities in statistics and data analysis |
Included in tuition fees |
|
Student Lounges |
Common areas for relaxation, socializing, and group work |
Included in tuition fees |
|
Health Services |
On-campus medical and counseling services |
Included in tuition fees, some services may have small fees |
|
Laundry Facilities |
On-campus laundry rooms with washers and dryers |
$2 - $4 USD per load |
|
Internet Access |
High-speed internet available in residences and throughout the campus |
Included in accommodation cost |
|
Public Transportation |
Access to local bus services for commuting between campus and city |
$20 - $40 USD per month for a pass |
|
Bicycle Rentals |
Bicycle-sharing services available for students |
$10 - $20 USD per month |
Clubs and Societies: ENSAI offers a variety of student clubs and societies catering to different interests, such as data science clubs, sports teams, cultural groups, and more. These clubs provide opportunities for students to pursue hobbies, develop new skills, and socialize with peers.
Sports and Recreation: The school provides excellent sports facilities, including a gym, sports fields, and courts for activities such as basketball, soccer, tennis, and more. Regular sports events and tournaments promote physical fitness and team spirit.
Cultural Events: ENSAI organizes and participates in numerous cultural events, exhibitions, and festivals that celebrate diversity and promote cultural exchange. These events provide platforms for students to showcase their talents and learn about different cultures.
Academic Events: Regular seminars, workshops, and guest lectures are held, providing students with opportunities to learn from industry experts and stay updated on the latest developments in their field.
Community Engagement: Students are encouraged to engage in community service and volunteer work, fostering a sense of social responsibility and contributing to the local community.
Counseling and Health Services: On-campus health services include medical consultations, psychological counseling, and wellness programs to ensure students' physical and mental well-being.
Academic Support: Tutoring services, study groups, and academic advising are available to help students succeed academically.
Career Services: The Career Services office provides guidance on internships, job placements, resume building, and interview preparation.
Career Center: ENSAI’s Career Center provides extensive support for students seeking internships and job placements. Services include resume and cover letter workshops, mock interviews, and career counseling.
Industry Partnerships: ENSAI has strong ties with various industries and companies, facilitating numerous internship and job opportunities for students. These partnerships ensure that students gain relevant work experience and exposure to real-world challenges.
Internship Programs: Internships are an integral part of the curriculum, allowing students to apply their theoretical knowledge in practical settings. The school assists in matching students with suitable internships in France and abroad.
Job Fairs and Networking Events: Regular job fairs and networking events are organized, providing students with the opportunity to connect with potential employers, learn about different career paths, and explore job openings.
High Placement Rate: ENSAI boasts a high placement rate, with a significant percentage of graduates securing employment within a few months of graduation.
Diverse Employment Sectors: Graduates find employment in a variety of sectors including finance, insurance, healthcare, information technology, consulting, and government agencies.
Global Opportunities: ENSAI graduates are well-regarded both in France and internationally, with many finding employment opportunities in leading global companies and organizations.
ENSAI is known for its rigorous selection process, as is typical of French Grandes Écoles. Admission is highly competitive.
Admission often involves competitive exams (such as the Concours) and a thorough evaluation of the candidate’s academic background, particularly in subjects like mathematics and economics.
École 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
City: Bruz, a suburb of Rennes
Region: Brittany (Bretagne)
Country: France
