24 months
6243 EUR/year
4243 EUR/year
Tuition fee
Apply date
Start date


Open up numerous job opportunities in the context of a global shortage of data scientists and data analysts! Data Science at Institut Polytechnique de Paris  is a hybrid profile requiring a solid background in mathematics and statistics, mastery of data management and processing tools and infrastructure, as well as curiosity and a thirst to understand.


Exploiting this immense volume of data requires sophisticated mathematical techniques, which form the basis of Data Science. This transition from data to knowledge brings many challenges that require an interdisciplinary approach. Data Science relies heavily on the statistical processing of information: mathematical statistics, numerical statistics, statistical learning and machine learning.

Data Science is offered at Institut Polytechnique de Paris.

A wide range of mathematical and numerical statistics and learning methods are used from analyzing exploratory data to sophisticated  inference techniques (hierarchical graphical models) and classification or regression (deep learning, support vector machine). In order to be develop on a massive scale, these methods require the mastery of data distribution mechanisms and large-scale calculations. Applied mathematics (functional analysis, numerical analysis, convex and non-convex optimization) also plays  an essential role.

The first year is dedicated to the fundamentals in Applied Mathematics and statistics.   

Students interested early on by research are advised to apply for a PhD Track in this field (combined Master and PhD). It enables a personalized master program, early immersion in research labs and a progressive development of the thesis studies. 


Data Science has a strong impact on many sectors. There is currently a large worldwide shortage of data scientists and data analysts. Students from Data Science and Big Data courses are therefore eagerly awaited on the global job market. Like all fields of breakthrough innovation (e.g. biotechnology and e-medicine), there is a high need for high-level engineers and doctoral candidates.

Programme Structure

see content details on our program webpage


  • Master sophisticated mathematical techniques to extract relevant information: statistical processing of information, analysis of exploratory data, techniques of inference and classification or regression, data distribution mechanisms and very large-scale calculations

  • Become the data scientists of tomorrow both in academia and industry - a large proportion of our students choose to pursue doctorate studies

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


Partially taught in English, Partially taught in French


120 ECTS
  • Year 1: 60 ECTS
  • Year 2: 60 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Year 1

  • Bachelor degree in sciences

  • A good knowledge in mathematics especially in analysis, algebra, probability or statistics and mastering a programming tool are required

French: B1 level

Year 2

  • Completion of the first year of a Master in mathematics at Institut Polytechnique de Paris or equivalent in France or abroad.
  • English B2 level

Tuition Fee

To alway see correct tuition fees
  • International

    6243 EUR/year
    Tuition Fee
    Based on the tuition of 6243 EUR per year during 24 months.
  • EU/EEA

    4243 EUR/year
    Tuition Fee
    Based on the tuition of 4243 EUR per year during 24 months.

Living costs for Palaiseau

640 - 950 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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.

Our partners

Data Science
Institut Polytechnique de Paris


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