LMD academic program

Master in Data Science for Social Sciences (2nd Year)

Master in Data Science for Social Sciences (2nd 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, please refer to the TSE website.

Places

International

Institution

Admission

Prerequisite

Prerequisites for enrolment

Bac + 4

Prerequisites training


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.

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 3 : 

Optional 2 among 3:

Option 1:

Option 2:

Option 3:

 Non-Mandatory:

  • Professional Development 
  • Algebra Refresher 
  • Probability Refresher 
  • Dynamic Optimization Refresher 
  • Datanomics : regulating to data spreading and data protection
  •  
Semester 4 

Optional 2 among 3:

Option 1:

Option 2: 

Option 3:

 

 
Appenticeship Track
Semester 3 : 

One elective out ot:

Semester 4 : 

Optional 2 among 3:

Option 1:

Option 2: 

 

School and work experience alternating

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. 

What's next ?

Level of education obtained after completion

Year of highschool graduation

Unknown label

Job opening

Business sector or job

Download the skills' brochure to find out more about skills acquired by the end of the master.
Also, visit our career section where you can read and see experiences from Alumni.

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