• Academic programs

Master in Mathematics and Economic Decision (2nd 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

Second year - Acceptance criteria

  • Students who have majored in the M1 program “Mathematics of Economic Decision" are eligible to enroll in the M2 program.

Or by application review:

  • Holders of a master's degree in mathematics who can justify some knowledge of Economics or are willing to prepare for it before the beginning of the program and who are able to justify a good English level, international track entirely taught in English.

Application:

To apply to this master, select on eCandidatures platform:

  • First year: M1 Applied Mathematics, Statistics - Mathematics and Economic Decision International track
  • Second year: M2 Applied Mathematics, Statistics - Mathematics and Economic Decision 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

Program

Semester 3 

Core course:

  • Reading Course1

Electives: choose 3 courses

  • Optimization 
  • Mathematics of Machine and Deep learning Algorithms 
  • Game Theory 
  • Microeconomics I 
  • Econometrics I 
  • Asymptotic statistics and modeling
  • Non-parametric models (half a course)
  • Survey sampling (half a course)
  • Lifetime analysis (half a course)
  • Advanced Topics in Artificial Intelligence** 
  • Techniques du Décisionnel et Big Data***(half a course)



Non-Mandatory:

  • Algebra Refresher
  • Probability Refresher
  • Dynamic Optimization Refresher
  • Statistical Software : R.
  • Statistical Software : Python
Semester 4

Core courses:

  • Reading Course 1
  • Master thesis or Internship

Electives: choose 3 courses

  • Stochastic Optimal control in economics
  • Econometrics II 
  • Big Data
  • Microeconomics II 
  • Economic Theory 
  • Topics in EEE 
  • High-Dimensional Models (half a course)
  • Topics in MED 1 **** (half a course)
  • Topics in MED 2 **** (half a course)

Prospects
Year of highschool graduation
Bac + 5

Further studies

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