Visiting students at the Department of Computer Science may attend a wide range of internationally recognized bachelor's and master's courses taught by first-class professors and lecturers. In addition, you will benefit from modern teaching and learning resources such as modern study rooms, smart boards, computer pools, and an e-learning platform where you can access your course materials from anywhere. You will also have the chance to be social and find like-minded people at the department. Whether at regular BBQ events, karaoke or game nights organized by the Fachschaft Informatik, interesting lectures held by the alumni association or in one of the many clubs on the topics of FOSS, cinema, games, game development, etc.: Guest students can quickly become part of the community in Dortmund and can turn their semester abroad into a unique cultural, academic and personal experience they’ll never forget.
In addition, the International Office, which is responsible for the entire university, offers a wide range of support services for incoming students, such as German intensive crash courses, semester-long language courses, academic support and assistance in finding accommodation and dealing with the German authorities.
Prospective students from partner universities can apply and register via the corresponding channels or persons. Students from non-partner universities should use the general contact channels.
Some lectures and courses are offered yearly (in the summer or winter term), while others only take place irregularly. This page just gives an overview and is subject to change, so please always consult with the current schedule.
Always taught in English
Can be completed in English (to be arranged with organizers)
english slides (*with English recordings)
BSc - Bachelor's level
MSc - Master's level
- INF-MSc-236: Machine Learning Paradigms for Complex Data
- INF-MSc-507: Natural Language Processing
- INF-MSc-521: Industrial Data Science 2
- Reinforcement Learning*
- Deep Learning
- INF-Msc-523: Causality
- INF-MSc-520: Industrial Data Science 1
- INF-BSc-225: Probabilistic Reasoning and Machine Learning
- INF-MSc-502: Computer Vision
- Data Science Challenges in Practice
- Graph Mining and Exploration
- INF-MSc-313: Aspect-based Software Engineering of Complex Systems
- INF-MSc-315: Complex Systems Monitoring and Evolution
- INF-MSc-324: Distributed Systems Theory
- INF-MSc-324: Logical Methods of Software Engineering 1 (LMSE1)
- INF-MSc-326: Logical Methods of Software Engineering 2 (LMSE2)
- INF-MSc-314: Parallel Computing Concepts
- INF-MSc-323: Semantic Service
- INF-MSc-328: Technology-Driven Innovation Development: The IT Perspective
- INF-MSc-213: Virtualization and Compilation
- INF-MSc-333: Software Verification
Disclaimer: Visiting students can only participate in exceptional cases, since registration usually takes place several months before project start.