After close to two years of pretty intense work, many discussions, and a lot of reading, I'm quite happy that we're finally there: we launched the new Master's program "Data Science in Business and Economics" at the School of Business and Economics at the University of Tübingen.
This program rests on three main pillars. Of course, data science does not work without econometrics, which is the first pillar. Second, we believe that data scientists must have sound theoretical knowledge of the content domain that they are active in. Hence, students in this program will have to spend considerable time improving their understanding of how markets and consumers work and think. And the really new part is that we will equip students with a new skill set that allows to them to deal with large and unstructured data sets and apply new methods. This includes, of course, coding in R and Python, but students can also benefit from our University's excellent Department of Computer Science, one of the leading places for Machine Learning. It is going to be very interesting to see how this combination works out. I will provide a bit more information on our definition of and view on data science in one of the next posts.
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