The track 'Data Science’ trains economics students in programming languages that are used in firms, the public administration, and research to work with big data and algorithms (Python and R), including hands-on exercises that analyze and present (big) data sets from structured and unstructured sources, such as Internet and Social Media data, e-mails, company reports, images, or data from diverse administrative data sources.
Moreover, it offers a deeper understanding of innovation economics, the consequences of datafication, and, thereby, how innovation affects markets, political landscapes, and our societies – and what to do about it as policy maker.
The minimum requirements for admission in Master’s program Data Science at Tilburg University for all applicants (Domestic or International) are:
Note: Please check the university website in the link below.
You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://www.tilburguniversity.edu/education/masters-programmes/economics-data-science
Become an economist with hands-on experience in processing and interpreting unstructured (big) data sets. With a strong foundation in statistical modeling and additional training in programming languages, you will have the right skills to understand the economic value of data and to become an ''analytics translator'': a person who can bridge the technical expertise of data engineers with the end user in any organization (managers, policy makers, etc.).
You can join one of the following careers: