Discrete Choice analysis Predicting Demand and Market Shares

Sunday, February 12 - Thursday, February 16, 2017

Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Room BC 02 (click for the online map)



Professors and lecturers

A limited number of scholarships (2500 CHF each) are available to full-time teaching staff (rank of instructor or higher) of academic institutions. Written requests for such scholarships should accompany applications for admission. These requests must motivate the relevance of the course for the applicant's research and teaching activities. Please register here. During the registration process, after giving your email address, do not forget to check the box labeled I am a full-time teaching staff (rank of instructor or higher) of an academic institution or a PhD student eligible for a scholarship, and to describe the relevance of the course for your research and teaching activities.

PhD students

One full-tuition scholarship will be awarded to one outstanding PhD student. Applications must contain a complete resume and a motivation of the relevance of the course for the applicant's research. The full-tuition scholarship will be awarded to the best applicant. Other partial scholarships may be awarded to other outstanding applicants not ranked first.
Apply before December 01, 2016 by clicking here.
Every applicant must register to the course in order to be eligible for a scholarship. If the scholarship happens not to be granted, the applicant can withdraw from the program at no cost.


  • Fundamental methodology
  • Data collection
  • Model design issues
  • Model estimation issues
  • Forecasting techniques
  • Examples and real case studies

Important dates

December 01, 2016:

January 14, 2017:

February 11, 2017:

February 12-16, 2017:
Important notice:
deadline for scholarships applications
deadline for early registration
deadline for late registration
the course is organized from Sunday to Thursday.

Who should attend?

The course is designed for professionals (from industry and public authorities) and academic researchers (professors, researchers, PhD students), interested in understanding and predicting consumer choices, demand and market share, such as marketing analysts, managers, planners, economists, engineers, operations researchers.


Mila Bender

Transport and Mobility Laboratory (TRANSP-OR)
Station 18
CH-1015 Lausanne