Master in Data Science for Social Sciences

The master's program « Econometrics, Statistics » 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 » 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.

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. 

 

 

Program 2021-2022 (provisional)

M1 Econometrics, Statistics - Data science for social sciences International track

(syllabi are regularly updated)

SEMESTER 1

SEMESTER 2

Compulsory courses:

2 electives from:

Compulsory courses:

4 electives from:

End of August refresher courses - Math Camp:

  • Algebra Refresher ***
  • Probability refresher ***
  • Static Optimization refresher ***
Internship or Master Thesis*

µ courses not provided in 2021-2022 exceptionally

* UE1/UE2/UE5: A minimum score of 10 out of 20 is required.

** Highly suggested by a M2 director:

  • ‘Introduction to big data’ or ‘Optimization for big data’ or ‘Data bases’ or ’Times series’: M2 Statistics and Econometrics
  • Environmental & Resource Economics: M2 ERNA
  • Economics of human development: M2 PPD
  • Corporate Finance and Market Finance: M2 Finance
  • Time Series: M2 EEE

*** Math camp for M1 and M2 students

+ Introduction to big data and Optimization for big data are opened to the first 45 registered students (on a first-come/first-served basis)

 

Bonus point

Practicing a sport or a musical activity within the University orchestra during the year can give you bonus points. Only points above 10/20 are taken into account.

Program 2021-2022

M2 Econometrics, Statistics - Data science for social sciences International track
(Syllabi are regulary updated)

SEMESTER 3 

SEMESTER 4

Electives (2 among 3):

Option 1:

Option 2:

Option 3:

Non-Mandatory:

Electives (2 among 3):

Option 1:

Option 2: 

Option 3:

* courses in common with the 1st year Master – 2 groups per level

**Groups of 4 students

*** Students who have attended the Professional Development/Coaching course in 2020/21 are exempted

**** Maths refreshers courses for 1st and 2nd year master students (30 students max. per option)

- Internship: duration typically of 6 months graded on the basis of the internship report and of the oral defense.

- Tutored projects: (a) the Statistical Consulting course (4 students per group) is a project proposed by a company and supervised by 2 teachers/researchers, with a report to be delivered to the client before the final defense; (b) collective projects (2 to 4 students per group) for several courses (e.g., Survey sampling, Non-parametric models, and Spatial Econometrics) supervised by a teacher, with a final oral defense.

- Master thesis (alternative option to the internship): topic of your choice supervised by a teacher or a researcher, with a final oral defense in M2 and without defense in M1.

 

Bonus point

Practicing a sport or a musical activity within the University orchestra during the year can give you bonus points. Only points above 10/20 are taken into account.

Apprenticeship track
 

SEMESTER 3 

SEMESTER 4

One elective ouf of:

One elective out of:

Except the courses on Maths of machine and deep learning algorithms and Big Data, courses in common with the M2 StatEcox and e-learning M2 StatEcox​ 

 

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.

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).

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.