• Academic programs

Master in Mathematics and Economic Decision (1st year)

General information

Prerequisites for enrolment
Bac + 4
Length of studies
1 year
City
International
Internships
Yes
(Mandatory internship)
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
Presentation

The two-years Master's program in Mathematics and Economic Decision is the Toulouse School of Economics Master in Applied Mathematics and Statistics. It benefits from the strength of both the TSE’s Mathematics and Economics departments. Interdisciplinarity is very important in recent developments in research, for example at the interface between optimization and statistics. These developments have wide and natural applications in economics and in the industry: artificial intelligence, big data, game theory, high-dimensional analysis, machine learning, network analysis, stochastic analysis, etc.

The first year is dedicated to acquiring a broad and rigorous knowledge in mathematics and statistics and its applications to economics.

The second year of this program is particularly targeted to students interested in research-based training in applied mathematics and statistics. It could be viewed as the first year of a Ph.D. program in the north American system. Successful students who are interested in a Ph.D. in applied mathematics and statistics can apply to grants with the help of the TSE faculty to fund the remaining years of the Ph.D. in Toulouse or outside Toulouse. The Ph.D. can be either academic or professionally oriented. The second year of the Master can also be a good fit for a student interested in research-based learning but who prefers a professional integration directly after the Master, for example as a mathematical engineer with a strong background in Economics.

Alternatively, after the first year, the students may apply to other second year Master’s programs at TSE. The second year of the Master Data Science for Social Science is particularly suited for a professional integration after the Master. Students who become more interested in the Ph.D. in Economics may apply to the second year of the Master Economic Theory and Econometrics.

Goals

For further information, refer to the TSE website.

Admission

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).

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

Program

Semester 1 : 
Compulsory Courses

Optional:

1 among 4:

1 among 7 (at least one course**:

End of August refesher courses - Math Camp:

Semester 2 

Compulsory courses:

Internship or master thesis

Optional: 

1 among 2:

4 among 10: 

  •  
  •  * Core courses

    ** Masters 2 Directors recommend to attend some options:

    • Introduction to Big Data or Optimization for Big Data or Data Bases or Time Series: M2 Stateco
    • Industrial Organization: M2 EMO
    • Environmental & Resource Economics : M2 ERNA
    • Economics of human development: M2 PPD
    • Corporate Finance et Market Finance: M2 Finance
    • Time Series: M2 EEE

    *** Mathematics refresher courses, for TSE M1 and M2 students

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

Prospects
Year of highschool graduation
Bac + 5

Further studies

For more detailed information, downland the program's brochure here.