Economics, Data Analytics and Corporate Finance (MSc)


For more information about Economics, Data Analytics and Corporate Finance at École Polytechnique, please visit the webpage using the button above.

The award

How long you will study
2 Years

Domestic course fees
EUR 13000 per year

How you will study

Course starts

International course fees
EUR 13000 per year

All study options

About Economics, Data Analytics and Corporate Finance at École Polytechnique

The Economics, Data Analytics and Corporate Finance Master of Science and Technology is a two-year course taught entirely in English. It provides students with essential skills for strategic decision-making in the corporate world.

The program combines three complementary disciplines that are usually taught separately at this level of study:

Microeconomic analysis: The microeconomics component gives students the tools for learning about corporate strategic decisions and strategic interactions within an ever-changing environment. Students focus on areas such as market and industrial organization, game theory and econometrics.

Corporate finance: This field deals with the analysis of firm's financial decisions. The students get to grips with various analytical techniques according to each subject, and tackle quantitative case studies.

Data analytics: Gaining crucial knowledge in econometrics, statistics and big data, the program equips students with the skills to analyze and interpret data.

For more information about the programs, please register to our online information sessions.


The Program offers high-level classes taught by École Polytechnique's academic professors and researchers, as well as by professionals. Throughout the two years, the focus moves from academic classes and exams toward more project-oriented courses (data research, essay writing, etc.). Each year is divided into three trimesters, with the first two devoted to classes (9 weeks each), presentations and projects. The last trimester takes the form of an end-of-year internship.

Year 1 of the program involves principally theory-based teaching, focusing on fundamentals and methodologies of the disciplines studied, and finishing with a four-month internship period.

In year 2, students follow an in-depth curriculum with applied courses. A six-month internship then forms the final chapter of the program.

Each week, students attend three to four science classes and a personal development class (management, languages, civilization, sport). In addition to the academic classes with professors, our students regularly attend lecture series given by guest professionals, during which they are occasionally required to make presentations. Each trimester, students take:

  • Mandatory courses in microeconomics
  • Mandatory courses in econometrics or data analytics
  • Mandatory courses in corporate finance
  • One extra elective course
  • classes in sports, languages, social sciences and management

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will studyFull-timeHow long you will study2 years
    Course startsSeptemberDomestic course feesEUR 13000 per yearInternational course feesEUR 13000 per year

Entry requirements

Following the École Polytechnique’s tradition of excellence in the applied sciences, the Economics, Data Analytics and Corporate Finance Master builds on your scientific training to provide an economics-based understanding of strategy and competition. The program is primarily intended for students with comprehensive Mathematical and Economics training. However, it is open to students with a finance, or engineering background. Above all, a good command of mathematics is crucial to follow the highly quantitative-based approach of this Master's program.

Candidates with other degrees may be considered, provided that they have a strong background in the above-mentioned subjects. Please note that Ecole Polytechnique is ranked in the world's Top 20 in Mathematics, therefore the level in Mathematics is particularly high in all academic programs.

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