Data Science in Economics

About us

Welcome to our website!

The Chair of Data Science in Economics at the Faculty of Economics at Ruhr University Bochum works on analyses with structured and unstructured data sets, Big Data, Machine Learning, Artificial Intelligence, as well as on research questions on Digital Transformation, Innovation, Regional, Labour and International Economics and other fields of application in Economics.

In research and in the courses taught at the Chair, we are programming in Python, R, Stata, among others.

 

Contact

For any questions about the Chair's lectures, seminars, or other events, please always contact us at
ls-dsecon@ruhr-uni-bochum.de.
Only if you want to make specific inquiries, please contact the relevant person directly.

 

 

Courses in the summer semester 2026

 

Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften (Bachelor)

The exam will take place on July 28, 2026.

Further information can be found in the Moodle course.

 

Grundlagen in Data Science und Big Data (Bachelor)

The exam will take place on August 06, 2026.

Further information can be found in the Moodle course.

 

Data Science in Economics: Digitale Transformation und ökonomische Entwicklung (Bachelorseminar)

Applications for the seminar must be submitted by April 7, 2026 (11:59 PM) to ls-dsecon@rub.de.

Further information regarding the registration process can be found in the Moodle course.

 

Data Science in Economics: Wachstum, Nachhaltigkeit und Transformation (Bachelorseminar)

Applications for the seminar must be submitted by April 7, 2026 (11:59 PM) to ls-dsecon@rub.de.

Further information regarding the registration process can be found in the Moodle course.

 

Machine Learning and Programming in Python (Master)

To participate, you must apply by email to  ls-dsecon@rub.de by April 7, 2026 (11:59 PM).

The exam will take place on August 03, 2026.

Further information regarding the registration process can be found in the Moodle course.

 

Seminar on Data Science in Economics: Topics in Labor Economics (Masterseminar)

Applications for the seminar must be submitted by April 7, 2026 (11:59 PM) to daniel.gyetvai@rub.de.

Further information regarding the registration process can be found in the Moodle course.

 

 

Bachelor & Master theses in the summer semester 2026

The Chair of Data Science in Economics offers the opportunity to write a Bachelor or Master thesis in the winter term 2025/2026.

If you are interested in writing a Bachelor thesis at the chair, please select us as your first preference in the online application system (via the WiWi-BOS Moodle course). It is recommended to have attended at least one of our courses (lecture or seminar). Please note the deadlines for the registration process. Further information can be found on the homepage of the Prüfungsamt. If you have been accepted for a Bachelor thesis at our chair, please contact us within the deadlines set by the Prüfungsamt and let us know which topic/s you would be interested in. You are also welcome to send us your own topic suggestions.

For Master theses, please contact us directly via email at ls-dsecon@rub.de. You can let us know which topic/s you would be interested in. You are also welcome to send us your own topic suggestions. It is recommended to have attended at least one of our courses (lecture or seminar).

For further questions, do not hesitate to contact us at ls-dsecon@rub.de.

 

Team

Prof. Dr. Astrid Krenz
Chair of the department, Professor
Andrea Riesenberg
Employee in technology and administration
Daniel Gyetvai
Post-Doc, Scientific assistant
Sören Henkel
Scientific assistant
Jammila Laâguidi
Research assistant
Marco Mortazavi
Student assistant

Teaching

Information on:

Teaching offers

Study Type
Seminar on Data Science in Economics: Topics in Labor Economics
Seminar
2 contact hours
SS
SoSe 2026
Übung zu Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften (Bachelor)
Übung
1 contact hours
WS
SoSe 2026
Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften (Bachelor)
Vorlesung
2 contact hours
WS
SoSe 2026
WS 26/27
Machine Learning and Programming in Python (Master, PhD)
Lecture
2 contact hours
WS
SoSe 2026
WS 26/27
Seminar zu Data Science in Economics: Wachstum, Nachhaltigkeit und Transformation (Bachelor)
Seminar
2 contact hours
irreg.
SoSe 2026
Grundlagen in Data Science und Big Data (Bachelor)
Lecture
2 contact hours
SS
SoSe 2026

Next dates

April 21, 2026
FlexNow registration deadline for seminars in Data Science
June 26, 2026
FlexNow registration deadline for exams in the summer semester 2026
July 28, 2026
Exam Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften
August 03, 2026
Exam Machine Learning and Programming in Python

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Publications

Krenz, A. (2025). Does Gender matter for Export Behavior? Evidence for German Companies, International Journal of Gender and Entrepreneurship, https://doi.org/10.1108/IJGE-05-2024-0179.

Krenz, A. and Strulik, H. (2025). Male excess mortality during the epidemiological
transition: theory and evidence from India, Journal of Population Economics, 38-67, https://doi.org/10.1007/s00148-025-01124-0.

Krenz, A. and Strulik, H. (2025). Automation and the Fall and Rise of the Servant Economy, European Economic Review, vol. 172,  104926.

Krenz, A. (2025). Does Gender matter for Export Behavior? Evidence for German Companies, International Journal of Gender and Entrepreneurship, https://doi.org/10.1108/IJGE-05-2024-0179.

Krenz, A. and Strulik, H. (2025). Male excess mortality during the epidemiological
transition: theory and evidence from India, Journal of Population Economics, 38-67, https://doi.org/10.1007/s00148-025-01124-0.

Krenz, A. and Strulik, H. (2025). Automation and the Fall and Rise of the Servant Economy, European Economic Review, vol. 172,  104926.

Latest news

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Begrüßungsveranstaltung neue Studierende
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Vortrag am Data Science Institute der London School of Economics and Political Science
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The chair belongs to the competence field:

CEIT