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MSc in Big Data - Now Smart Data

Former Big Data program at ENSAI

Ensai Panorama nature

ENSAI opened a Master of Science in Big Data in September 2015 and took advantage of its accreditation renewal to revamp the program to shift its focus to Smart Data.

 

Former Big Data Program Presentation

Curriculum: Program Overview and Credits & Course Descriptions

The structure of this Master's program is composed of 2 semesters of coursework at ENSAI, followed by an internship within the professional world or academia/research laboratories.

Since this program welcomes students with varying academic levels and skills in Computer Science, Mathematics, and Statistics, the structure  aims to bring all students to the same scientific level in all three fields, with respect to their existing training, knowledge, and skills.

Therefore, in addition to common courses, the first semester includes courses tailored for students with different profiles. These courses take the form of two different tracks: Computer Science and Statistics, where students study the courses in which they need more training.

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.

Professions

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:

- Digital Marketing
- Business Analytics
- Risk Management
- Yield Management
- Industrial applications
- Supply and distribution
- Healthcare industry
- Social networks analysis
- Research and development in scientific domains
- Software industry

Student Testimonials

Andra Anoaica

 

Moustapha

Internship

This final phase of the MSc in Big Data program involves a five-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 two semesters of coursework.

The student must write an Internship Report and defend it in front of a jury the following Autumn.