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
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.
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.
Non-French speakers are highly encouraged to attend intensive French language courses (Université d’été) in August prior to the beginning of the semester. Students may also follow weekly French language courses in the evening at ENSAI.
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 10, 2019 and February 11, 2020
2nd wave: February 12, 2020 and April 3, 2020
3rd wave: April 4, 2020 and May 26, 2020
Candidates are strongly encouraged to apply during the first round of admissions, given the limited number of places. 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.
Smart Data Application Fee Payment
Tuition and Fees
The Master in Statistics for Smart Data program cost is fixed at:
- €4,000 for tuition and fees if students correspond to one of the six criteria below:
- Citizens of European Union member states, of another state that is part of the European Economic Area, or the Swiss Federation;
- Holders of French titre de séjour with the mention « Carte de séjour de membre de la famille d’un citoyen de l’Union/EEE/Suisse »;
- Holders of residency cards delivered under Chapter IV of Title I of Book III of the CESEDA or the same residency card delivered within the framework of an international agreement applicable to the French Republic, or a minor under 18 years of age who is a direct descendant of a cardholder;
- Foreigners having fiscal residency or attached to a fiscal householder in France for at least two years as of January 1 preceding the beginning of the academic year for which admission is requested;
- Beneficiaries of Refugee status or subsidiary protection or a person whose father, mother or legal guardian benefits from such a status;
- Citizens of states having concluded an international accord applicable to the French Republic which requires the payment of the same fees that are applicable to French citizens or exempts citizens of said state from the obligation to have a residency card or titre de séjour in France.
- €6,000 for tuition and fees if students do not correspond to any of the above criteria.
Students following this Master’s program are not eligible to apply for need-based financial aid.
Cost of Living
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.
Graduates of the program are skilled Data Scientists who have numerous career opportunities in international corporations and data start-ups in many fields including:
Internet of Things
Smart Grid Optimization
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