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    • Why study Business Data Science?
    • Program outline
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  • Summer School 2020
    • Deep Learning
    • Introduction in Genome-Wide Data Analysis
    • Econometric Methods for Forecasting and Data Science with Applications in Finance, Economics and Business
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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 courses:

Building knowledge

In year 2, students focus on a given business sub-discipline, selecting from among: 1) 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 courses: 

5 courses in chosen sub-discipline*
Bayesian Econometrics 
Research clinic 
Skills workshops: Review process, academic writing and presentations 
Research Hackathon 
Research Master Thesis (30 credits)

* Fields:  1) finance, 2) management science, 3) supply chain analytics
For full course list and course descriptions please see 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.