Data Science in Economics

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 reviews for “Machine Learning and Programming in Python” and “Grundlagen in Data Science”

There are dates for the exam reviews of “Machine Learning and Programming in Python” (Master/ PhD) and “Grundlagen in Data Science” (Bachelor). On Monday, 23.09.2024, at 13-14 for “Grundlagen in Data Science” (Bachelor), and at 14-15 for “Machine Learning and Programming in Python” (Master/ PhD). Please send an email to ls-dsecon@ruhr-uni-bochum.de to participate in the review.

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 20.2.2025 ("Nachschreibtermin"). Students who have been formally accepted as participants of this course in previous semesters 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 17.2.2025. Students who have been formally accepted as participants of this course in previous semesters may take part in this exam, too. Please follow the registration deadlines as given in FlexNow.

Courses in the winter term 2024/2025

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