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BDS Curriculum

Learn more about the 2-year research master.


Acquiring skills

In year 1, the primary objective is to build a solid data science foundation and expose students to a variety of methodological approaches. These skills are applied to various business disciplines in the field courses.

First year overview:

* Students who select the quantitative finance specialization take Asset pricing in block III in the first year and Empirical Asset Pricing in block V of the first year, and postpone the start of the Research Hackathon to year 2. 

See full list of courses for year 1

Building knowledge

In year 2, students focus on a given business sub-discipline, selecting 5 courses in a chosen sub-discipline: 1) quantitative finance, 2) management science, 3) supply chain analytics. The courses assigned for each of these sub-disciplines have been carefully selected by a team of experts with the aim of ensuring the perfect learning trajectory that will lead to substantive contributions in the fields of each particular sub-discipline. 

Second year overview: 

Students also take the following courses in year 2:

  • Bayesian Econometrics
  • Research Clinic
  • Skills workshops (review process, academic writing and presentations)
  • Research Hackathon 
  • Research Master Thesis (30 credits)

For full course list for year 2 and see the Study Guide.

Academic and Examination Regulations

The Academic and Examination Regulations provide details on the program requirements and examination procedures and can be downloaded from the intranet.