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Statistics for Smart Data

ENSAI - National School for Statistics and Information Analysis

M.Sc. On Campus
12 months
Duration
8000 EUR/year
8000 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Statistics for Smart Data program from ENSAI - National School for Statistics and Information Analysis is a unique and innovative program taught entirely in English. It combines advanced notions in Statistics, Applied Mathematics, and Computer Science and includes several units specific to this program which can be used in developing Artificial Intelligence.

Visit the official programme website for more information

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.

Programme Structure

Courses include:

  • Statistical Language: R
  • Statistical Language: Phyton
  • Markov Chains
  • Simulation Based Inference
  • Topics in Bayesian 
  • Basics on Shiny

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

More details
  • 1st wave: December 10 and February 11
  • 2nd wave: February 12 and April 3
  • 3rd wave: April 4 and May 26

Language

English

Credits

60 alternative credits

Delivered

On Campus

Academic requirements

GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
Required
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.
Required

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
72
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
5.5
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
59
More about PTE Academic

Other requirements

General requirements

  • 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 

Tuition Fee

  • International

    8000 EUR/year
    Tuition Fee
    Based on the original amount of 8000 EUR for the full programme and a duration of 12 months.
  • EU/EEA

    8000 EUR/year
    Tuition Fee
    Based 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)

Funding

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.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

Statistics for Smart Data
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ENSAI - National School for Statistics and Information Analysis

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