Statistics for Smart Data

Overview

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.

The Master in Statistics for Smart Data program from ENSAI - National School for Statistics 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.

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.

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

Accreditation

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.