Master in Data Science for Social Sciences
Toulouse School of Economics
Program description
Master in Data Science for Social Sciences
The first year of the international track Data Science for Social Sciences 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.
Admission requirements
First year - Acceptance criteria and enrollment
- 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.
- Or by application review:
- Students with an undergraduate degree in an economics or mathematics field;
- French or foreign students with a degree and credits considered equivalent, and who are able to justify a good English level as well as a good Mathematics Level (GRE required for foreign students).
Second year - Acceptance criteria and enrollment
- Students majored in the M1 program "Data Science for Social Sciences" are eligible to enroll in the M2 program.
- Or by application review:
- Holders of a master's degree in an economics or mathematics field;
- French or foreign students with a degree and credits considered equivalent, and who are able to justify a good English level as well as a good Mathematics Level (GRE required for foreign students).
For more information about admission requirements, please visit the institute website.
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Program content
Courses first year
Semester 1
- Mathematical Statistics 1
- Statistical Software for data scientists (R, Python, SAS)
- Intermediate econometrics
- Applied econometrics
- Game Theory
- Professional Development
- FLE
Semester 2
- Mathematical Statistics 2
- Program Evaluation*
- Applied econometrics
- FLE
Courses second year
Semester 3
- Data Mining
- Mathematics of Machine and Deep Learning Algorithms: Part 1 and Part 2
- Statistical Consulting
- Statistical Software : SAS, R, Python and Excel *
- Datanomics: Regulation of Data Spreading and Data Protection
Semester 4
- Statistical Consulting
- Big Data
- Scoring
- French as a Foreign Language
- Internship or master thesis
Scholarships & funding
Several scholarship options are available. Please check the institute website for more information.
Program delivery
Apprenticeship
For prospective students interested in more on-the-job experience, the program can be adapted to allow following an apprenticeship (alternance) alongside the master's degree. From September to March, apprentices spend 3 days at the university (M-T-W) and 2 days in the company (Th-F). From April to August, they mainly work in the company.
Tuition fees
For the academic year 2021-2022, the enrollment fees amount to:
- 209 euros for a master's degree + 34 euros for the commun documentation service (payable only once for the same academic year)
- Master's degree - international track: additional training fees of 5,500 euros
Non-EU students will have to pay the differentiated registration fees from 2021-2022 academic year:
- €3,770 per year at the master’s level
Career opportunities
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.
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About this institute
Toulouse School of Economics
Toulouse School of Economics is a world-leading centre for research and higher education, chaired by Nobel Prize Laureate Jean Tirole and the economics department of Toulouse Capitole University. TSE offers world-class undergraduate and graduate programs delivered by renowned researchers. TSE's...
Why study at Toulouse School of Economics
Toulouse School of Economics offers high-quality teaching in economics with high employability rates in a very international atmosphere.
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Toulouse School of Economics
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