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.
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.
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
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.
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- Statistical Language: R
- Statistical Language: Phyton
- Markov Chains
- Simulation Based Inference
- Topics in Bayesian
- Basics on Shiny
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- 12 months
Start dates & application deadlines
- Apply before
- 1st wave: December 10 and February 11
- 2nd wave: February 12 and April 3
- 3rd wave: April 4 and May 26
DisciplinesMathematics Statistics Artificial Intelligence View 21 other Masters in Mathematics in France
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- 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.
- Candidates with degrees from non-EU countries must provide GRE
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International8000 EUR/yearTuition FeeBased on the original amount of 8000 EUR for the full programme and a duration of 12 months.
EU/EEA8000 EUR/yearTuition FeeBased on the original amount of 8000 EUR for the full programme and a duration of 12 months.
€10,000 for professionals, corporations, and organizations (financing current employees)
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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Apply and win up to €10000 to cover your tuition fees.