Research

Master in Statistics for Smart Data

The Master in Statistics for Smart Data at ENSAI is a unique and innovative program taught entirely in English. It combines advanced notions in Statistics, Applied Mathematics, and Computer Science and includes several units specific to this program which can be used in developing Artificial Intelligence. This one-year degree prepares graduates for exciting careers as highly-qualified Data Scientists in numerous sectors and opens the door to PhD studies for a career in research.

This Master’s program (Diplôme National de Master) is accredited by the French Ministry of Higher Education, Research, and Innovation in partnership with the University of Rennes 1, the University of Rennes 2, Agrocampus Ouest, and INSA Rennes.

Program

The Master in Statistics for Smart Data is composed of a semester of full-time coursework at ENSAI (September through February), followed by a 4 to 6-month internship in France or abroad within the professional world or academia/research laboratories (March through August). The internship defenses and the graduation ceremony take place in September N+1.

Prior to the start of the Academic Year, the students will be given the opportunity to attend courses designed to reinforce different notions in Computer Science, Statistics, and Mathematics. After the beginning of the semester, students will learn methodologies and practical skills, acquire core concepts of data management, and learn how to use the tools necessary to assess, treat, and analyze massive amounts of heterogeneous data. Students will develop mastery of mathematical models and algorithms allowing them to extract important data and develop deep understanding and create insight. The curriculum at ENSAI will allow them to become specialists in Data Science and AI, and to work in various sectors like retail, manufacturing, financial markets, insurance, healthcare, energy, and public administrations.

To ensure that the curriculum remains up-to-date, ENSAI reserves the right to make minor changes to the proposed curriculum between the period of admission and the start of the academic year.

Short Course Descriptions      Detailed Course Catalog 

Internships

The final phase of the Master in Statistics for Smart Data program is a 4-6 month paid* internship, which can take place anywhere in the world, in businesses or academic/research laboratories. This experience allows students to apply the statistical and computer science theory and methods that they have learned during the semester of coursework. Students have done previous internships in a wide array of companies (Orange, Expedia, ENGIE, Groupe Yves Rocher…) and research institutes. These rich professional experiences often lead to employment opportunities.

As part of the internship, students must write a Master’s Thesis and defend it in front of a jury.

*If the internship is carried out in France, by law it must be paid.

Admissions & Prerequisites

The Master in Statistics for Smart Data is open to students of all nationalities. Candidates with professional experience are welcome.

All applicants must have a minimum of 4 years of higher education equivalent to 240 ECTS credits (at least a 4-year Bachelor’s degree or the first year of a Master’s degree). A strong statistical, mathematical, and computer science background is required. Successful candidates are selected based on degrees, academic results, and skills. More detailed information about specific scientific prerequisite knowledge is listed on the Smart Data Prerequisites page

Candidates with degrees from non-EU countries must provide GRE revised General Test results (http://www.ets.org/gre) or equivalent such as GMAT, TAGE MAGE, etc.

This Program is taught entirely in English. Non-native English speakers must provide proof of a minimum B2 level (CEFR scale) in English by providing valid results from a recognized language certification such as the TOEIC, TOEFL, IELTS, CLES, etc. 

 

Application & Selection Procedures

Application Period and Procedures

All applications for the Master of Science in Statistics for Smart Data at ENSAI in France for the 2020-2021 academic year must be completed and submitted online between: 

1st wave: December 2019 and February 2020
2nd wave: February 2020 and April 2020 
3rd wave: April 2020 and May 2020 

Candidates are strongly encouraged to apply during the first round of admissions, given the limited number of places, the highly selective admissions criteria, and the time constraints to obtain a visa for non-European candidates. All application materials and documents must be submitted electronically during this time period. No paper applications will be accepted.

The application process is two-fold, and both parts must be completed before the deadline. Candidates should use Google Chrome as their preferred browser throughout the application process and follow the on-screen instructions once they begin.

The application process includes the successful submission of:

The Official Online Application Form 

An Archive file of Mandatory Application Documents 

ENSAI’s budget office requires candidates to complete bank transfers for application fees. Applicants must cover any and all costs associated with transfers. The payment calendar and wire transfer information is available at the following link:

Smart Data Application Fee Payment

 For further information or should you encounter any difficulties, please contact smart.data@ensai.fr

Cost

Tuition and Fees

Master in Statistics for Smart Data program cost is fixed at: 

  • €8,000* for normal tuition
  • €10,000 for professionals, corporations, and organizations (financing current employees)

*Reduced tuition is possible for students from Academic Partner Institutions. For more information, please contact smart.data@ensai.fr

Students following this Master’s program are not eligible to apply for need-based financial aid.

Cost of Living

Cost of Living

Additional Costs

All Master in Statistics for Smart Data students must pay the national student fee (CVEC) of 91€.

Student health insurance is free for all students in France, regardless of their nationality.

Université d’été (Intensive French Summer Program):

Non-French speakers also pay around €880 for a 1-month Intensive French Summer Program: the Université d’été; this cost includes courses and program fees. Students pay the organizing language center, CIREFE at the University of Rennes 2. Accommodation costs are not included in the above mentioned fee.

Erasmus+ Student Loans

Students from Erasmus+ program countries (Belgium, Bulgaria, Czech Republic, Denmark, Germany, Estonia, Ireland, Greece, Spain, France, Croatia, Italy, Cyprus, Latvia, Lithuania, Luxembourg, Hungary, Malta, Netherlands, Austria, Poland, Portugal, Romania, Slovenia, Slovakia, Finland, Sweden, United Kingdom, the former Yugoslav Republic of Macedonia, Turkey, Iceland, Liechtenstein, and Norway) may be eligible for student loans at preferential rates to help finance their studies. For more information, please consult the European Commission document explaining eligibility requirements and advantages of the program. 

Professional Outlook

Graduates of the program are skilled Data Scientists who have numerous career opportunities in international corporations and data start-ups in many fields including:

Artificial Intelligence

Business Analytics

Internet of Things

Personalized Medicine

Smart Grid Optimization

Smart Society

Social Networks Analysis

Supply Chain Optimization
 

Additionally, graduates can pursue a PhD for a career in research or academia. ENSAI proposes a PhD in Applied Mathematics (Statistics and related fields). ENSAI PhD students are enrolled in the MathSTIC Doctoral School, which is operated jointly by several regional institutions of higher education including the University of Rennes 1, the University of Rennes 2, INSA Rennes, Institut Mines-Telecom Atlantique, and Ecole Normale Supérieure de Rennes. ENSAI also proposes joint PhD programs in Economics and Computer Science in collaboration with partner establishments from Rennes, Paris Saclay,or institutions abroad. 

PhD students at ENSAI take advantage of the dynamic, interdisciplinary research environment of the renowned CREST  research lab and its team. The CREST laboratory is characterized by a strong attachment to quantitative methods, data, mathematical modeling, and the continuous movement between theoretical models and empirical evidence to analyze concrete scientific, economic, and societal problems.   

Smart Data Program Brochure

Contact

Valentin PATILEA
Research Professor in Statistics - Research director - Head of the Statistics for Smart Data program
Email
valentin.patilea@ensai.fr
Téléphone
+33 (0)2 99 05 33 25
Cécile TERRIEN
Academic Affairs and Admissions - Statistics for Smart Data and PhD programs
Email
smart.data@ensai.fr
Téléphone
+33 (0)2 99 05 32 08
Todd DONAHUE
Head of the Office of International Relations and Department of Humanities - Equality and Diversity Ombudsman
Email
international@ensai.fr
Téléphone
+33 (0)2 99 05 32 44

Testimonials

A native of South Africa, Jan joined the Smart Data program in 2016. He is currently a Data Scientist at Yves Rocher, in Rennes.
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I'm really lucky to be working on a strategic area that will impact our daily life. It's really motivating!
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Focus: Master Smart Data

Valentin Patilea, Head of the Master, and Christelle, answer all of your questions.

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