UNIVERSITY OF STRASBOURG · FRANCE
Master in Economic Analysis and Policy - Statistics and Econometrics Track
Master's · Taught in fr
At a glance
24 mo
Duration
6.0
IELTS
—
Tuition / yr
fr
Language
Master's
Level
- 2 yearsProgram Duration
- 120 creditsECTS Credits
- B2 French and B2 English requiredLanguage Proficiency
- Optional internshipsPractical Experience
This Master's program at the University of Strasbourg trains students to become expert statisticians and econometricians. You will develop a strong command of statistical methods and gain the ability to create modeling tools for economic applications. The program is designed to prepare you for roles in various sectors, including private companies (banks, insurance, large industrial and commercial firms, SMEs, consulting firms), applied economic research centers, international organizations (World Bank, IMF, European institutions), and government administrations.
Curriculum
The curriculum is structured over two years, with core courses in statistics and econometrics, alongside economic analysis and programming techniques.
- Master 1 - Semester 1
- Economic Policy, Activity and EmploymentEN913
- Innovation and GrowthEN916
- Behavior and IncentivesEN919
- Strategic Interactions and MarketsEN922
- Applied Econometrics IEN925
- Applied Econometrics I (cont.)LGQAAFS3
- Data Source Mapping and IndicatorsEN38897
- Programming Techniques ILGQOV9BI
- Master 1 - Semester 2
- Project ManagementEN932
- Applied Econometrics IIEN935
- Contemporary Economic Issues in Light of Economic Thought and CliometricsLGQAV67S
- Programming Techniques IIEN34847
- Advanced Econometrics IEN941
- Advanced Econometrics IIEN938
- EnglishLTZR8WVD
- English Lansad - Even SemesterLJI8BY5S
- Master 2 - Semester 3
- Quantitative Methods in PracticeEN24305
- Statistical Modelling TechniquesEN24306
- Advanced Econometrics IIIEN24307
- Data ScienceEN24308
- Machine Learning - CommonM84BL37W
- Deep Learning - CommonM84BMZ82
Careers
Graduates are well-prepared for diverse roles in sectors ranging from finance and marketing to research and development. The program's strong quantitative focus opens doors to data-intensive positions.
- Financial Analyst
- Marketing Analyst
- Data Scientist
- Economist
- Econometrician
- Research Engineer
- Statistics Manager
- Statistician
- Value & Risk Management Specialist
Entry requirements
Bachelor's DegreeA Bachelor's degree in Economics-Management, Mathematics and Economics, Bio-statistics, or Mathematics. Must have completed and validated courses in Microeconomics, Macroeconomics, and Quantitative Techniques (Mathematics, Probability, Statistics).
FrenchB2 level required
EnglishB2 level required
Applicants must hold a Bachelor's degree in a relevant field and have completed specific coursework in core economic and quantitative subjects. Language proficiency in both French and English at B2 level is mandatory.
Fees
Tuition (international)Tuition fees are determined annually and are available on the University of Strasbourg's dedicated admissions page.
Tuition (home)Tuition fees are determined annually and are available on the University of Strasbourg's dedicated admissions page.
LivingInformation on estimated living costs is not provided.
For the most up-to-date information on tuition fees and registration costs, please refer to the official University of Strasbourg website.
How to apply
1. Check EligibilityEnsure you meet the academic requirements, including holding a Bachelor's degree in Economics-Management, Mathematics and Economics, Bio-statistics, or Mathematics, and having completed specific prerequisite courses. Verify your French and English language proficiency (B2 level).
2. Review Admission ModalitiesConsult the dedicated admissions page on the University of Strasbourg website for detailed information on the application process for Master's programs.
3. Submit ApplicationFollow the instructions provided on the University's admissions portal to submit your application within the specified deadlines.
4. Prepare Required DocumentsGather all necessary documents, which typically include academic transcripts, degree certificates, language proficiency proof, and possibly a motivation letter or CV.
5. Await DecisionApplications will be reviewed, and admission decisions will be communicated according to the university's schedule.