Master in Mathematics and Economic Decision

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.

Program 2021-2022

M1 Applied Mathematics, Statistics - Mathematics and Economic Decision International track

SEMESTER 1

SEMESTER 2

Compulsory courses:

Compulsory courses:

Optional:

1 among 4:

1 among 7 (at least one course**:

End of August refresher courses - Math Camp:

Optional: 

1 among 2:

4 among 10: 

 
  • Internship or Master Thesis*

*UE1/UE2/UE6. A minimum score of 10 out of 20 is required.

** 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 a first-come/first-served basis).

Program 2020-2021

SEMESTER 1

SEMESTER 2

Compulsory courses:

Compulsory courses:

Internship or master thesis

Optional:

1 among 2:

1 among 7:

End of August refesher courses - Math Camp:

Optional: 

1 among 2:

3 among 12: 

* Fondamental courses for which a minimum exam score of 10 out of 20 is required

**Highly recommended by Master 2 Directors:
- Introduction to big data or Optimization for Big data or data bases or Times series: M2 Stateco
- Industrial Organization: M2 EMO
- Environmental & Resource Economics: M2 ERNA
- Economics of human development: M2 PP&D
- Corporate Finance and Market Finance: M2 in Finance
- Time Series: M2 EEE

*** Math camp for M1 and M2 (End of August)

+ Courses "Introduction to big data" and "Optimization for big data" are only accessible to 45 students (registration on the 1st come, 1st served basis).

 

2. Statistics and Applied econometrics Path

Program 2020-2021

SEMESTER 1

SEMESTER 2

Compulsory courses:    

Compulsory courses:

2 electives among 8:

4 electives among 11:

End of August refesher courses - Math Camp:

Internship or master thesis*

* Fundamental Courses for which a minimum exam score of 10 out of 20 is required
** Highly recommended by M2 directors:
- Introduction to big data or Optimization for big data or data bases or times series: Master Statistics and Econometrics
- Industrial Organization: M2 EMO
- Environmental & Resource Economics Relations: M2 ERNA
- Economics of human development: M2 PP&D
- Corporate finance and Market finance: M2 Finance
- Time series : M2 EEE

+ Courses "Introduction to big data" and "Optimization for big data" are only accessible to 45 students (registration on the 1st come, 1st served basis).
*** Math camp for M1 and M2 (End of August)

Bonus point
To practice a sport or a musical activity within the University orchestra, or the participation in the module "professional life"  during the year can give you bonus points. Only points above 10/20 are recorded (please refer to the Welcome booklet).

Program 2021-2022

M2 Applied Mathematics, Statistics - Mathematics and Economic Decision International track
(Syllabi are regulary updated)

SEMESTER 3

SEMESTER 4

Core course:

  • Reading Course1

Electives: choose 3 courses

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)

Non-Mandatory:

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

 

Each student is supervised by a professor who assigns him/her with reading assignments at the graduate and research level. The students have to produce a manuscript and a presentation of the type of a research seminar in 1 hour around a selected aspect and present sketches of proofs.

*Refresher course in mathematics, open to M1 and M2 students of the School
**Corresponds to the UE3 Management and decision of the Master 2 2IS 
*** One course of your choice from UE3 Technologies du décisionnel of the Master 2 ISIADE
**** Course of your choice in Semester 3 or 4 (subject to validation by the Master's pedagogical director): possibility of following a course given by an invited professor, or from a research school, or from other Master 2 programs

First year - Acceptance criteria

  • Students with an undergraduate degree who majored in Economics or Economics and Mathematics at the Toulouse School of Economics TSE and able to justify a good English level are eligible to enroll in the M1 program “Mathematics of Economic Decision", international track entirely taught in English.

Or by application review:

  • Students with an undergraduate degree in an "economics and mathematics" or mathematics , and who are able to justify a good English level
  • French or foreign students with a degree and credits considered equivalent, and who are able to justify a good English level

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