Economics: Data Science

1 year English Starts end of August and end of January

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.

#50

worldwide in Economics & Econometrics

QS World University Rankings, 2024

43%

international students

in 2022/2023
MSc Economics including all tracks

86%

of the students is (very) satisfied with the program

National Student Survey, 2023, MSc Economics including all tracks (n=41)

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
Data Science and Society
Econometrics 1 & 2

More information on the program and courses

Career prospects

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:

IT Consultant at Adesso Austria
Data Translator at Building Blocks
Data Analyst at 10XCREW

Alumni facts

100% are (very) satisfied with the Master's program
95% would recommend the program to friends, family and colleagues
81% would choose the same program at the same university

Source: National Alumni Survey, 2021 | MSc Economics including all tracks| n=21

More information about career prospects

Students on campus enjoying the good weather

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)

Pre-Master’s program:

Open to Research University students, not to students from a Dutch University of Applied Sciences (HBO).

Tuition fees and scholarships

International students find the information about the tuition fees and the scholarships available here.

Interested in this Master’s program?

Check your eligibility

More information on this Master's program

Create your own e-brochure with information on program content, admission requirements, career prospects, and student life in Tilburg. Throughout the year you can take part in various types of events: on-campus, abroad or online.

All information in one e-brochure

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