Master 2 Statistics and Econometrics (international track)

The master 2 “Statistics and econometrics” is open to students who have previously acquired solid skills in economics and mathematical statistics. This MSc program offers general classes in statistics and econometrics including data mining, big data, survey sampling, scoring, spatial econometrics, web mining, ... 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 softwares like R, Python, SAS and Matlab. Furthermore, the students acquire skills in computing when it comes to database management. Some electives allow them to develop applications in various fields mainly in the tertiary sector.

Job opportunities are in data science and business analytics in banking, marketing and industry. 

This master is also available in apprenticeship. For more details,  you can download the brochure (in French).



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.

Program 2019-2020



  • Data Mining 
  • Macroeconomics
  • Survey sampling 
  • Time series
  • Statistical Consulting
  • Statistical Software : SAS, R, Python and Excel
  • FLE (only for foreign students)
  • English (only for french speaking students)
  • Professional development

Optional 2 among 4:

Option 1:

  • Lifetime data analysis
  • Panel data analysis

Option 2:

  • Econometrics of qualitative variables
  • Econometrics of Marketing 

Option 3:

  • Non-parametric models
  • Outlier detection and extreme value theory

Option 4:

  • Mathematics of deep learning algorithms part 1
  • Mathematics of deep learning algorithms part 2


  • Professional Development 
  • Algebra Refresher 
  • Probability Refresher 
  • Dynamic Refresher 
  • Datanomics : regulation of data spreading and data protection
  • Statistical Consulting
  • Big Data
  • Scoring
  • English (only for french speaking students)
  • Internship or master thesis

Optional 2 among 3:

Option 1:

  • Graph theory
  • Graph analytics

Option 2: 

  • Spatial econometrics
  • Geomarketing 

Option 3:

  • Data bases
  • Web Mining  

Bonus point

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

  • 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, we invite you to visit our Admissions section.
  • Apprenticechip: all applications must be processed throught eCandidatures TSE AND through the survey titled Déclaratif complémentaire de candidature à une formation en alternance. Both of these are on our Admission section.