From Big Data to Smart Data
ENSAI is taking advantage of its accreditation renewal to revamp the Master of Science in Big Data program to shift its focus to Smart Data. As a result, the existing program will become the Master of Science in Statistics for Smart Data to reflect the evolution of the program.
Smart Data at ENSAI
The demand for skills in the field of high-dimensional data processing is increasing dramatically worldwide, yet serious academic programs for this domain are still quite rare.
Smart Data focuses on revealing the Value and Veracity of the Volume, Variety, and Velocity of Big Data to meet the vital challenge of identifying relevant and valuable information among the plethora of data available.
ENSAI is currently the only French engineering school accredited to offer an all-English program with this unique training, combining Statistics and Computer Science. ENSAI was first accredited by the French Ministry of Higher Education and Research to deliver a Master of Science in Big Data in 2014 (known as a Master international or DNM in the French nomenclature).
ENSAI has many years of experience dispensing multidisciplinary training (Statistics, Computer Science, and Econometrics), numerous international corporate and academic partnerships, a Big Data Academic Platform established by GENES, and a Big Data research chair financed by the Institut Louis Bachelier and the Fondation du Risque.
ENSAI's Master of Science in Statistics for Smart Data will meet the very important needs of corporations and organizations of all kinds for graduate-level training that remains rare in academic offerings on the French, European, and international stage.
The structure of this Master's program is composed of one semester of coursework at ENSAI, followed by a 4 to 6-month internship in France or abroad within the professional world or academia/research laboratories.
Prior to the start of the Academic Year, the students will be given the opportunity to attend courses (75h) 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 access, 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 skilled Data Scientists and work in various sectors like retail, manufacturing, financial markets, insurance, healthcare, energy, and public administrations.
Note: In order to permanently ensure that the curriculum is adapted for the needs of the current job market, ENSAI reserves the right to make slight changes to the proposed curriculum and the descriptions between the period of admission and the start of the academic year.
Learning about Smart Data is a hands-on experience. ENSAI has invested heavily to ensure that its Smart Data students have the best technology at their fingertips. To learn more about the specifics of what is available to students enrolled in the Smart Data degree, consult the list of resources provided below.
Graduates of the program are skilled Data Scientists. In addition to doctoral possibilities in research, they will 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
This final phase of the MSc in Statistics for Smart Data program involves a four to six-month paid* internship, which can take place either in France or abroad, in either the professional world or academic/research laboratories. This experience should allow for the student to apply the statistical and computer science theory and methods that they have learned during the semester of coursework.
The student must write an Internship Report and defend it in front of a jury in July, at the end of August or early September.
*If the internship is carried out in France, by law it must be paid.
The Master of Science in Statistics for Smart Data is open to students of all nationalities.
All applicants must have a minimum of 4 years of higher education (at least a 4-year Bachelor's degree or the first year of a Master's). A strong statistical, mathematical and computer science background is required.
Probability and Statistics
Candidates with degrees from non-EU countries must provide GRE revised General Test results or equivalent such as GMAT, TAGE MAGE, etc. Please have results sent directly to ENSAI by using the following Designated Institution code when registering: 7180. For more information about the GRE, please visit the official website: http://www.ets.org/gre
Non-native English speakers will be required to certify a minimum B2 (CEFR) level of English by providing valid results from a recognized language certification such as the TOEIC, TOEFL, IELTS, CLES, etc.
Applications are selected based on candidates' degrees, level, and skills. A personal interview (in person or via videoconference) will be at the discretion of the ENSAI admissions committee.
Graduates of the program are skilled Data Scientists. In addition to doctoral possibilities in research, they will have numerous career opportunities in international corporations and data start-ups in the following areas:
Supply and distribution
Social networks analysis
Research and development in scientific domains
Cost & Expenses
The entire MSc in Big Data program cost is 8,000 €, inclusive of all fees, registration, and tuition, with half of the cost made payable to ENSAI by July 1st preceding the academic year, and half before the beginning of the second semester.
Non-French speakers also pay 2,000 € for the 2-month French Summer Program, inclusive of all program fees, courses, and housing costs while being hosted by a French family. This is made payable also by July 1st to the organizing service at CIREFE (not ENSAI).
Students following this Master's program are not eligible to apply for GENES' student grant based on financial need.
This Master of Science in Big Data is open to students of all nationalities.
All applicants must have a minimum of 4 years of higher education (at least 4-year Bachelor's or the first year of a Master's). A strong mathematical and/or computer science background is required.
Applications are selected based on candidates' degrees, level, and skills. A personal interview (in person or via videoconference) will be at the discretion of ENSAI.