Teaching

The chair offers courses at the bachelor's and master's levels for students in the fields of business informatics, digital business, economics, data science, and computer science. Interested students from other disciplines are also welcome to participate.

The aim of the course is to provide students at the University of Regensburg with a challenging analytical and quantitative education with a strong practical focus. The focus is on learning sound methods and the ability to apply acquired knowledge and skills to practical problems. The teaching portfolio supports students in developing an interdisciplinary and application-oriented study profile in the fields of digital business, data economics, and machine learning.

Bachelor: Courses, Seminars and Theses

	Semester	Language	Format	ECTS	GRIPS
Data Business and Digital Value Creation Processes	Winter	DE	2V+2?	6	→ (external link, opens in a new window)
Digital Business II: Networks and Digital Markets	Winter	DE	2V+2?	6	→ (external link, opens in a new window)
AI Methods & Applications	Summer	DE	2V+2?	6	→ (external link, opens in a new window)
Project Seminar	Always	DE/EN		8
Seminar - Introduction to Academic Research	Always	DE/EN		6
Bachelor Thesis	Always	DE/EN		10/12

Master: Courses, Seminars and Theses

	Semester	Language	Format	ECTS	GRIPS
Digital Platforms and the AI Economy	Winter	EN	2V+2?	6	→ (external link, opens in a new window)
Theoretical Seminar	Always	DE/EN		6
Practical Seminar	Always	DE/EN		6
Master Thesis	Always	DE/EN		30

Further information on the B.Sc. and M.Sc. degree programmes in Management Information Systems can be found here (external link, opens in a new window).

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