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.). This is a track of MSc Economics.
Education as of September 2022
All education takes place on campus again, now that the coronavirus measures have been scaled back. Of course, we will always maintain a safe environment for our students and staff. Therefore, a few basic measures still apply. For the latest updates on the COVID-19 situation, see our FAQs for prospective students.
US News Best Global Universities, 2021
Program and courses
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.
- Finally, your strong foundation in Econometrics and Economic Analysis gives you the ability to make sense of data from an economist’s perspective.
- This is a track of MSc Economics. You can choose to follow the main program or one of the tracks.
Typical courses are:
- Data Science for Economics
- Governance of Innovation
- Econometrics 1 & 2
Upon graduating, you will have obtained the following title (as stated on your diploma): Master of Science.
Data scientists are highly sought after in today’s economy by all types of private and public organizations, as they enable those organizations to make better decisions (based on data). Students taking this track will become ‘translators’ between data miners (who have a computer science or engineering background) and economic and political decision makers, who rely on advice based on data.
Some examples of our graduates' jobs:
- Policy Advisor at the Ministry of Finance
- Statistical Analist at De Nederlandsche Bank
- Doctoral student at the University of Oxford
- 84% are (very) satisfied with the Master program
- Gross monthly income one year after graduation: € 2,734
- Average number of months between graduation and first job: 3,7
Source: National Alumni Survey, 2020 | n=12 (Master Economics)
Application and admission
This Master’s program starts:
End of August and end of January
Best preparatory programs:
A Bachelor’s degree in Economics or in a similar program (e.g., in Econometrics)
Open to Research University students, not to students from a Dutch University of Applied Sciences (HBO).
Tuition fees and scholarships
Interested in this Master’s program?
More information on this Master's program
Download the brochure with information on program content, admission requirements, career prospects, housing and immigration matters, and student life in Tilburg. Throughout the year you can take part in various types of events: on-campus, abroad or online.
To be announced
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Master's Open day
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Interested in the MSc Economics?
Check your eligibility and the deadlines for application