The specialization in Business Data Science is a two-year track consisting of 120 EC. It is tailored for recent Bachelor’s degree graduates, or those currently still enrolled in an undergraduate degree program, who are looking to pursue a solid course of training leading to a doctoral degree.
Year 1: 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.
Year 2: Building knowledge
In year 2, students focus on a given business sub-discipline, selecting from among: 1) finance, 2) entrepreneurship and innovation, 3) marketing science, 4) human resources and organization, 5) logistics and supply chain. 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.
Aligning skills and knowledge
The curriculum starts with an overview of the business problems that data science can address (in block 0), which also exposes students to fundamental components of the five business fields. This early exposure helps students to absorb and process materials presented later in courses on methodology, with respect to the various business perspectives. Students become further acquainted with the five business fields during seminars held throughout the first year, as well as during the research hackathon. This event makes students think about how to approach the problems that arise in the various disciplines, and puts their knowledge to the test.
First year students will address problems in all five business fields; second year students will focus on addressing the problems linked to their field of specialization. The research clinic and the Research Master thesis represent students’ final moments of integrating business and data science, and will showcase their ability to identify relevant problems and address them using cutting-edge techniques to make a substantive contribution to the field.
For the full course list we refer to the Study Guide and the Curriculum page.