M2 Statistics and Econometrics

Aims and Scope

The master 2 “Statistics and econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics. It offers general classes in mathematical statistics and in econometrics as well as specialized classes in various fields of application. The objective of the curriculum is first to give the students a solid culture in the big themes of applied statistics. This culture is necessarily developed while learning to use software like notably SAS, R and Matlab. Furthermore, the students acquire skills in computing when it comes to database management. Some options allow them to develop applications in various fields notably in the tertiary sector.

Curriculum 2016-2017

The students must carry out a mandatory internship of at least 4 months from April onwards with an oral academic viva at the beginning of September. All classes are taught in English.

SEMESTEr 3 SEMESTer 4

- Data Mining 
- Survey sampling 
- Time series
- Statistical Software : SAS, R, Python and Excel
- FLE
- Professional development

Optional 2 among 3:

Option 1:
- Lifetime data analysis
- Panel data analysis

Option 2:
- Econometrics of qualitative variables
- Econometrics of Marketing 

Option 3:
- Non-parametric models
- General linear model 

-Statistical Consulting
- Big Data
- Scoring
- FLE
- Internship or master thesis

Optional 2 among 3:

Option 1:
- Complex Structure Data Analysis 
- Theory
- Application 

Option 2
- Spatial econometrics
- Geomarketing 

Option 3:
- Data bases
- Web Mining  

=>Download our brochures

Bonus points

To practice a sport or a musical activity within the University orchestra during the year can give you bous points. Only point above 10/20 are recorded.

Skills and career opportunities

Download the bochure's skills acquired at the end of the master.
Also, visit our career section where you can read and see experiences from Alumni.

Note that students are invited to participate to Data Challenges: in 2015, a team has participated to the Data Science Game: http://www.datasciencegame.com/)

Admission

- Admission is based on academic excellence criteria. An undergraduate degree of at least 4 years of college or a Master’s degree is required, within a recognized curriculum considered as consistent with the program and approved by the TSE selection committee. Some brushing-up in Economics or Maths might be advisable in some cases.
- Working knowledge of English is obviously required.
- For more details about application process, click here

Fees

5500 euros + 256 euros Master registration + 215 euros Social Security 
Scholarships: Some Master scholarships will be awarded to Master students according to academic and individual criteria

Information

Admission:TSE recruitment
Directors: Anne Ruiz-Gazen (TSE)  Xavier Gendre (IMT)