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.
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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
Check out the full curriculumVisit official programme website
- 24 months
Start dates & application deadlines
- Apply before
- Year 1: 60 ECTS
- Year 2: 60 ECTS
DisciplinesMathematics Data Science & Big Data Machine Learning View 31 other Masters in Machine Learning in France
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We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
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
- Completion of the first year of a Master in mathematics at Institut Polytechnique de Paris or equivalent in France or abroad.
- English B2 level
Make sure you meet all requirementsVisit official programme website
International6243 EUR/yearTuition FeeBased on the tuition of 6243 EUR per year during 24 months.
EU/EEA4243 EUR/yearTuition FeeBased on the tuition of 4243 EUR per year during 24 months.
Living costs for Palaiseau
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.
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Apply and win up to €10000 to cover your tuition fees.