Program Year

Obligatoires

  • Machine Learning
  • Computer Science Project
  • Industrial Organization
  • Blockchain economics
  • Legal challenges of data analytics

Obligatoires

  • Economics of the internet
  • Revenue management, with applications to airline industry
  • Network analysis of financial markets
  • Robo-Advice and individuals'portfolio choices
  • Data, Régulation & Firms
  • Internship

Optionnels - 3ECTS

  • Applied machine learning for marketing
  • High frequency trading

Academic Training Year 2021 - 2022 - subject to modification

Teaching Modalities

All courses are taught in English, and the program is completed in two semesters:
The first semester is devoted to fundamental methods and techniques (using econometrics, operating large-scale databases, implementing suitable models, and evaluating parameters). All courses are mandatory, and amount to 30 ECTS credits. Courses and final exams end in December of the academic year.

During the second semester, students choose one of two specializations: Network Economics or Finance. They also attend a seminar on "Data, Firms and Regulation" where private sector’s practitioners and regulators expose the new practices and public policy challenges raised by the digital transformation. The students should also complete an end-of-studies internship lasting at least 4 months. The curriculum includes guest lectures by visiting professionals on issues related to Big Data, providing another means of connecting with relevant business circles.

Internships and Supervised Projects

Students must intern at a company (semester 4) for at least 4 months, and the internship will conclude with a report to be reviewed by a committee.