LMD academic program

Master in Data Science for Social Sciences (1st year)

Master in Data Science for Social Sciences (1st year)

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Details

General information

Duration
1 year
Places
International
Internship(s)
Yes
Available to

Internship

Mandatory internship

International

*
* English

Introduction

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.

Objectives

For more information on the program, please refer to the TSE website.

Places

International

Institution

Person in charge of the academic program

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


Admission

Prerequisite

Prerequisites for enrolment

Bac + 4

Prerequisites 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.

 

Application

Conditions of admission / Conditions of successful 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.

Program

Semester 1 
Compulsory Courses
  • 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
  •  
Semester 2 


Compulsory Courses
  • 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

School and work experience alternating

 

What's next ?

Level of education obtained after completion

Year of highschool graduation

Unknown label

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.

Submission

Tuition

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