TSE Master of Science M1 year

Language of instruction English
Duration 1 year
ECTS 60
Program type Full-time education, Work-Study

Start of term: September 2027

During the M1 year of the TSE Master of Science, students tailor their course programme based on their prerequisites and their plans for specialisation in the M2 year.

Students undertake interdisciplinary courses as well as modules in programming and professional development. They select courses offered within subjects covering economics, econometrics, statistics, mathematics, finance and law. The combinations of courses chosen enable them to acquire the prerequisites for the various specialisation pathways offered in the M2 year. From April onwards, students undertake a work placement or a preparatory programme for doctoral studies (advanced courses, research placement with the production of a dissertation).

The M1 year may be completed as part of a degree-leading exchange programme at one of the school’s partner universities.

A two-year work-study programme is offered in the M1 and M2 years across two possible specialisations, each leading to a Master’s degree: Applied Economics (AE) and Econometrics and Statistics (ES).

The year is divided into terms according to the following indicative timetable:

Refresher course	Mid August - End of August	2 weeks: for students recruited from outside TSE
Induction	End of August - Mid September	2 weeks: cross-curricular activities and completion of the refresher course
Term 1	Mid September - Mid November	8 weeks of lessons + 1 week’s holiday
Term 2	Mid November - End of January	8 weeks of lessons + 2 weeks’ holiday
Special activities	Last week of January	Career development, data challenge, etc.
Term 3	Early February - Early April	8 weeks of lectures + 1 week’s winter holidays
Term 4	Early April - End of the academic year	Work placement or preparation for the PhD programme (lectures + dissertation)

Refresher courses

Students joining the TSE Master of Science programme in the M1 year or those wishing to refresh their knowledge may take refresher courses in the following subjects:

Algebra
Probability
Static Optimisation
Econometrics and Statistics
Economics

Induction

Students benefit from a two-week induction period combining cross-disciplinary activities and a refresher course for those who need it. This period, which takes place before the start of the course, gives students the opportunity to get to know one another better – particularly through social events – and to prepare for the rest of the programme.

Courses available throughout the year

- Empirical project in Applied Econometrics
- Programming modules: choice of modules based on prerequisites and the intended specialisation in the M2 year:

PROG1 - Data wrangling
PROG2 - Programming tools and code management
PROG3 - Advanced Programming
PROG4 - Programming for Data Science
PROG5 - Big Data

- Professional development

Courses to choose from

3 courses to choose from, taking into account the expected prerequisites for the M2 year specialisations:

Courses	Entry requirements for M2 year specialisations
	Economics Domain (ECO)	Data Science Domain (DSC)	Applied Mathématics Domain (MAT)
Macroeconomics	EGR, PPD, EEP, AE
Game theory	EMO, ECL
Intermediate econometrics	ETE, EEE, EMO, EGR, PPD, EEP, ECL, AE	D3S, ES	MED
Probability and statistics for data science		D3S, ES	MED
Convex optimization for machine learning			MED
Principles of corporate finance	EGR, FIN
Law course (to be defined)	ECL
Electives (to be defined)

3 courses to choose from, taking into account the expected prerequisites for the M2 year specialisations:

Courses	Entry requirements for M2 year specialisations
	Economics Domain (ECO)	Data Science Domain (DSC)	Applied Mathématics Domain (MAT)
Incentives and contract theory	ETE, EEE, EMO, EGR, PPD, EEP, ECL, AE	D3S, SE	MED
Public economics	EGR
Industrial organization	EMO, ECL, PPD, EEP, AE
Program evaluation	ETE, EEE, EMO, EGR, PPD, EEP, ECL, AE
Foundations of machine learning		D3S, ES	MED
Markov chains ; Martingales			MED
Foundations of asset pricing	EGR, FIN
Law course (to be defined)	ECL

Choose 3 courses. The course ‘Incentives and Contract Theory’ must be taken if it was not taken in Term 2. Students must take the pre-specialisation courses corresponding to their intended M2 year specialisation.

Courses	M2 year pre-specialisation
	Economics Domain (ECO)	Data Science Domain (DSC)	Applied Mathématics Domain (MAT)
Incentives and contract theory	ETE, EEE, EMO, EGR, PPD, EEP, ECL, AE	D3S, SE	MED
Development economics	PPD
Environmental economics	EEP
Empirical IO	EMO
Panel data	EEE
Univariate time series	EEE
Stochastic simulation for optimization and sampling		D3S, SE
Topics in Al		D3S, SE
Advanced analysis			MED
Mathematical game theory			MED
Electives (to be defined)

Two options:

Work placement (at least 8 weeks)
Preparation for the PhD programme in economics or applied mathematics: advanced courses and a dissertation

Admission is based on academic excellence. The programme is aimed at students with a perfect command of English.

Required profile

Candidates must:

Hold a Bachelor’s degree in Economics, Applied Mathematics or an equivalent qualification recognised by the selection committee (3 to 4 years of higher education);
Have a solid background in quantitative methods;
Demonstrate a C1 level of English.

Calendar

Autumn: 22 October to 11 November 2026
Winter: 11 January to 1 February 2027

Fees and scholarships

Tuition fees amount to €12,000 per year for students joining the programme in the M1 year.

Students who are nationals of the European Economic Area (EEA) are eligible for a means-tested reduction in tuition fees based on their income and family circumstances.

TSE offers merit-based scholarships covering all or part of the tuition fees. Other forms of financial support are also available, including the Eiffel, Lafayette, ANITI, Jean-Jacques Laffont and TSH scholarships.

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