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.
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. Some classes (20%) are held in English but slides of classes in French are distributed every time.
All courses are taught in French. (Data Mining and Scoring in English)
|SEMESTEr 1||SEMESTer 2|
|General Linear model||Non life and life insurance|
|Survey sampling and time series||Spatial econometrics and geomarketing|
|Survival analysis and panel data||Data-mining|
|Econométrics of qualitative variable and marketing||Scoring|
|Non-parametric Models and empirical econometrics||Data bases and Web mining|
|Consulting course||Consulting courses|
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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.
Applications are considered from November to mid-March for international students and in May/June for French University graduates.