Data Science for Social Sciences, Master | Toulouse School of Economics | Toulouse, France
Master On Campus

Data Science for Social Sciences

24 months
3770 EUR/year
Tuition fee
Apply date
Start date


The Data Science for Social Sciences programme of Toulouse School of Economics aims to give the students intending to pursue advanced professional careers or doctoral research a solid culture in economics and statistics, as well as in various related fields of applied mathematics.


The first year of the international track Data Science for Social Sciences from Toulouse School of Economics offers compulsory general courses in theoretical economics, econometrics, mathematical statistics and statistical software for data scientists, as well as optional specialization courses in mathematics and their applications such as, for instance, finance, data bases, optimization, Markov chains, martingales theory, probability modeling, and big data.

The second year of this master emphasizes advanced and applied techniques in data science, statistics and econometrics. It offers deeper courses in data science, particularly in mathematics of machine and deep learning algorithms, data mining, big data, regulation of data spreading and data protection, as well as specialized courses in different fields of application of statistics to social sciences, such as spatial statistics and econometrics, graph theory and graph analytics, geomarketing, scoring, and web mining. 

Moreover, this second year of the program offers higher level courses of statistical software, namely R, Python and SAS, and of massive databases management. The different courses allow students to acquire versatile skills in the processing of complex data (panel, survey, survival, graph, spatial) with modern parametric, non-parametric, and learning statistical methods.


This international track aims to train "data scientists", "data analysts", "project managers", "engineers” and/or “consultants" in statistics with backgrounds in economics and econometrics. The graduates benefit from direct professional integration not only in the tertiary sector (e.g. quantitative marketing, banking, insurance), but also in industry and academic research.

Programme Structure

Courses include:

  • Mathematical Statistics
  • Statistical Software for data scientists (R, Python, SAS)
  • Intermediate econometrics 
  • Applied econometrics
  • Game Theory
  • Professional Development
  • FLE

Key information


  • Full-time
    • 24 months

Start dates & application deadlines




120 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

  • Students with an undergraduate degree who majored in Economics or Economics and Mathematics at the Toulouse School of Economics, and who are able to justify a good English level, are eligible to enroll in the M1 program "Data Science for Social Sciences", international track entirely taught in English.

Tuition Fee

To alway see correct tuition fees
  • International

    3770 EUR/year
    Tuition Fee
    Based on the tuition of 3770 EUR per year during 24 months.

Living costs for Toulouse

799 - 1154 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 for Social Sciences
Toulouse School of Economics
Data Science for Social Sciences
Toulouse School of Economics


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