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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.

Exam for "Machine Learning and Programming in Python"

There will be an exam for the lecture on "Machine Learning and Programming in Python" (Master/ PhD) on the 29.7.2024, 8-10 am. Students who have been formally accepted as participants of this course in the Winter Semester 2023/2024 may take part in this exam, too. Please consider and follow the registration deadlines in FlexNow.

Exam for "Grundlagen in Data Science"

There will be a second exam for the Bachelor's lecture on "Grundlagen in Data Science" on 1.8.2024, from 12-14 pm ("Nachschreibtermin"). Please follow the registration deadlines as given in FlexNow.

 

Courses in the summer term 2024

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

 

Courses in the winter term 2024/2025

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

 

Team

Prof. Dr. Astrid Krenz
Chair of the department, Professor, Professorin
Markus Holtze
Research assistant, Scientific assistant, Wissenschaftlicher Mitarbeiter
Leon Lohbeck, M.Sc.
Research assistant, Scientific assistant, Wissenschaftlicher Mitarbeiter
Tim Adam
Employee in technology and administration
Xenia Zhang
Research assistant, Scientific assistant
Frauke Schneider
Research assistant, Scientific assistant
Kim Michelle Wirth
Student assistant
Nhat Quang Huynh
Research assistant, Scientific assistant

Teaching

Information on:

Teaching offers

Study Type
Übung
2 contact hours
SS
Tutorium
1 contact hours
irreg.
Seminar
2 contact hours
irreg.
Lecture
2 contact hours
SS
Lecture
2 contact hours
WS
Übung
2 contact hours
WS

Next dates

No data was found.

The chair belongs to the competence field:

CEIT