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 winter term 2025/2026

Please see the course information on this website, in the university calendar and in Moodle.

 

Exam date "Machine Learning and Programming in Python"

The exam will take place on February 26th 2026, from 10 am to 12 pm.

 

Resit exam date "Grundlagen in Data Science"

The resit exam will take place on February 23rd 2026, from 2 to 4 pm.

 

Bachelor & Master theses in the winter term 2025/2026

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
Übung zu Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften (Bachelor)
Übung
1 contact hours
WS
SS 26
Data Analytics und Programmieren mit Python in den Wirtschaftswissenschaften (Bachelor)
Vorlesung
2 contact hours
SS
SS 26
Machine Learning and Programming in Python (Master, PhD)
Lecture
2 contact hours
WS
SS 26
Übung Machine Learning and Programming in Python (Master/PhD)
Übung
2 contact hours
irreg.
Tutorium zu Grundlagen in Data Science und Big Data (Bachelor)
Tutorium
1 contact hours
SS
Seminar zu Data Science in Economics: Wachstum, Nachhaltigkeit und Transformation (Bachelor)
Seminar
2 contact hours
irreg.
WS 2025/26

Next dates

January 28, 2026
Blockveranstaltung Tag 1 – Seminar zu Data Science in Economics: Wachstum, Nachhaltigkeit und Transformation
January 29, 2026
Blockveranstaltung Tag 1 - Seminar zu Data Science in Economics: Digitale Transformation und ökonomische Entwicklung
January 29, 2026
Blockveranstaltung Tag 2 – Seminar zu Data Science in Economics: Wachstum, Nachhaltigkeit und Transformation
January 30, 2026
Blockveranstaltung Tag 2 - Seminar zu Data Science in Economics: Digitale Transformation und ökonomische Entwicklung

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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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Girls' Day at the Chair of Data Science in Economics
April 30, 2025
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Meet your Prof
Begrüßungsveranstaltung neue Studierende
March 27, 2025
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Vortrag am Data Science Institute der London School of Economics and Political Science
February 19, 2025
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Forschungskooperation mit der London School of Economics and Political Science
February 17, 2025
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Beitrag aus der Serie Neu ernannt: Astrid Krenz arbeitet mit großen Datensätzen
January 10, 2023

The chair belongs to the competence field:

CEIT