Master Statistique et Économétrie

The Toulouse School of Economics offers a two-year Master’s programme in Econometrics and Statistics’, that aims to provide students with a solid grounding in Economics, Econometrics and Statistics, in order to ensure they can quickly enter the workforce as statisticians or econometricians upon completion of the programme.

The first year offers compulsory advanced courses in theoretical Economics, Econometrics and Statistics, as well as optional specialisation courses in various fields such as Finance, databases, optimisation, applications of Markov chains, probabilistic modelling and techniques specific to ‘Big Data’.

The second year focuses on advanced and applied statistical and econometric techniques, whilst training students in the use of software such as R, Python and SAS, and in database management. The modules enable students to develop skills in processing complex data (panel data, survey data, survival data, graph data and spatial data) using advanced econometric and statistical methods (parametric, non-parametric and machine learning).

The second year of Master’s programme is also available as a work-study programme, and for distance learning. For more information on these variations, please download the corresponding brochure.

Chat with our students!

Don't hesitate to contact our student ambassadors if you have any questions for them! They will be happy to share their experience with you. Explore the different student ambassador profiles and create your account to start the discussion. Not all fields of study are represented, but feel free to submit your question to one of the ambassadors by level of study.

Programme 2026-2027

M1 Statistique, Économétrie - standard track

(This syllabus is not binding; courses may vary from one semester to the next)

* UE1/UE2/UE5: Minimum grade 10/20

** The M2 programme directors recommend taking certain modules: Data Bases for the M2 in Economic Statistics

*** Refresher course in Mathematics, open to M1 and M2 students (please check the notice on the website for exact dates; classes usually take place at the end of August)

**** To choose the ‘Martingales Theory and Applications’ course in UE4, students must have previously taken the ‘Markov Chains and Applications’ course in UE3

• Internship: minimum duration of eight weeks, without a defence, but with an assessed internship report
• Master thesis (alternative to the internship): topic of the student’s choice, without a defence, supervised by a lecturer or researcher.

For students enrolled on the Magistère programme, please visit the dedicated Magistère webpage to find out more about the specific details of the courses taught.

Bonus Points

Participation in sports or cultural activities, civic engagement or work-related activities may be eligible for bonus points. For further details, please refer to the French assessment guidelines (MCC) for the course shown opposite.

Programme 2026-2027

M2 Statistics and Econometrics - Standard Full-time education track

(This syllabus is not binding; courses may vary from one semester to the next)

* Course shared with the M2 D3S FI programme

** Refresher course in Mathematics, open to M1 and M2 students (please check the notice on the website for exact dates; classes usually take place at the end of August)

*** the Statistical Consultancy module (4 students per group) involves a project proposed by a company and supervised by two lecturers, requiring students to write a report and give an oral defence to the commissioning company. This project may cover several subjects (for example, Survey Sampling, Non-parametric Models and Spatial Econometrics).

• Internship: generally lasting 6 months, with an internship report and oral defence subject to assessment.
• Master thesis (alternative to the internship): a topic of the student’s choice or proposed by the supervisor, with a report and oral defence assessed, supervised by a lecturer or researcher.

Year 2 is also available as a work-study programme with certain adjustments, notably including teaching during school holidays or in May:

M2 Statistics and Econometrics - Work-study track 2026-2027

* Course shared with the M2 D3S FA
** Refresher course in Mathematics, open to M1 and M2 students (please check the notice on the website for exact dates; classes usually take place at the end of August)

Bonus Points

Participation in sports or cultural activities, civic engagement or work-related activities may be eligible for bonus points. For further details, please refer to the French assessment guidelines (MCC) for the course shown opposite.

At TSE, the learning experience is enriched by external contributors, most of whom are professionals from a variety of sectors. These experts share their practical experience and real-world perspectives, complementing the teaching provided by our academic staff. This synergy offers students an education grounded in both theory and professional practice.

Year 1, Semester 1

• Marine Doineau (Data Scientist at Klanik), Software for Data Science (partie SAS)

Year 2, Semester 3

• Marine Doineau (Data Scientist at Klanik), Statistical softwares SAS
• Sylvia Gil Casals (Data Scientist, Microsoft, INSA Toulouse), Mathematics of Machine and Deep Learning Algorithms + Data mining
• Stéphane Malkawi (Business Analytics, Airbus), Statistical consulting
• Jean-Philippe Navarro (Expert in advanced modeling and probabilistic methods for end-to-end Airframe Design at Airbus), Statistical Consulting
• Anna Blanpied (Data Scientist, Avisia), Marketing econometrics
• Maxime Tranchard (teacher at INRAE), Panel data

Year 2, Semester 4

• Alejandro Lara (Data scientist BVA), Geomarketing
• Lynda Lechani (professor at Paul Sabatier), Web mining
• Marion Hoffman (Mathematical Sociologist, IAST), Graph analysis
• Marijn Keuzer (Sociologist and Research Fellow at IAST) Graph analysis
• Stéphane Malkawi (Business Analytics, Airbus), Statistical consulting
• Jean-Philippe Navarro (Expert in advanced modeling and probabilistic methods for end-to-end Airframe Design at Airbus), Statistical Consulting

The aim of this University Diploma in Professional Development is to enable students to successfully enter the labour market.

This programme offers you:

• Personalised support
• 4 course modules (2 in the first year of the Master’s and 2 in the second year)
• Career Success Workshops on the following topics: “Stress management, salary negotiation, conflict management and preparation for assessment centres”.
• Access to the iCIMS job interview simulation platform to practise for your future interviews.

This diploma, which costs 360 euros, is open to Master’s Year 1 and Year 2 students on the standard programme. Enrolment takes place at the same time as enrolment for the Master’s programme.

Please note that any student who enrols on the Level 1 Professionalisation University Diploma (DU) during their first year of the Master’s programme will be exempt from the enrolment fees for the Level 2 Professionalisation University Diploma (DU) once they are admitted to the second year of the Master’s programme.

Find out more

This Master’s programme aims to train project managers, statistical and econometric analysts, and statistical engineers with a grounding in Economics and Econometrics. Graduates mainly take up managerial roles in the service sector (quantitative marketing, banking, insurance), but also in industry and research laboratories. Career prospects include roles such as data scientist, statistical and econometric consultant, and statistical engineer.

Application procedure

Applications for the first year may be submitted:

• via the MonMaster procedure: if you wish to apply exclusively for the School’s standard programmes, are a national of a member state of the European Economic Area, or are currently resident in France or the European Union.
• via the eCandidatures procedure: regardless of your circumstances and if you wish to apply simultaneously for at least one of the School’s international programmes.

Applications for the second year must be submitted via the eCandidatures procedure.

APPLY