- Academic programs
Master in Data Science for Social Sciences (1st year)
General information
- Prerequisites for enrolment
- Bac + 4
- Length of studies
- 1 year
- City
- International
- Internships
- Yes
- Cost and financial aid
- For Enrollment and Fees, please see the Admission section. Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria, see Admission section
- Diplôme national
- Accessible as
-
- Initial Training
- Alternate training (program where the time is shared between courses and professional experience)
- Teaching languages
- English
- What next?
- 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.
Goals
For more information on the program, please refer to the TSE website.
Publics
Prerequisites for enrolment : Bac + 4
Required former training
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).
Application:
To apply to this master, select on eCandidatures platform:
- First year: M1 Econometrics, Statistics - Data science for social sciences International track
- Second year: M2 Econometrics, Statistics - Data science for social sciences International track
For more details about requirement documents and application process, please see the Admission section.
Alternate training (program where the time is shared between courses and professional experience)
Admission conditions
To apply to this master, select on eCandidatures platform:
- First year: M1 Econometrics, Statistics - Data science for social sciences International track
- Second year: M2 Econometrics, Statistics - Data science for social sciences International track
For more details about requirement documents and application process, please see the Admission section.
Cost and financial aid :
For Enrollment and Fees, please see the Admission section. Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria, see Admission section
- Mathematical Statistics 1
- Statistical Software for data scientist (R, Python, SAS)
- Intermediate Econometrics
- Applied Econometrics
- Game Theory
- Professional Development
- FLE
2 electives from:
- Environmental Economics
- Economic History
- Markov Chains and Applications
- Probability Modelling
- Evolution of Economic Behaviour
- Understanging Real World Organizations
- Project Management
- Optimization
- Mathematical Statistics 2
- Program Evaluation
- Applied Econometrics
- FLE
4 electives from:
- Industrial Organization
- Environmental & Ressource Economics
- Economics of Human Development
- Corporate Finance
- Market Finance
- Dynamic Optimization
- Introduction to Big Data
- Maringgales Theory and Applications
- Time series
- Data Bases
- Optimization for big data
- Year of highschool graduation
- Bac + 5
Further studies
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.
For more detailed information, downland the program's brochure here.
Registrar office contact details
Toulouse School of Economics
1 Esplanade de l'Université
31080 Toulouse Cedex 6 France
Téléphone : +33 (0)5 61 12 85 04
E-mail : scoltsem1@ut-capitole.fr
Contact Admissions :
Téléphone : +33 (0)5 67 73 27 87
E-mail : tse-admissions@ut-capitole.fr
Site : tse-fr.eu
