A research-oriented master's program at the University of Rostock offering two specialisation tracks — Information Systems and Complex Systems — combining rigorous theoretical foundations with current research topics in AI, big data, distributed systems, and cybersecurity, delivered entirely in English.
Computer Science International is a fully English-taught research master's program offered by the Faculty of Computer Science and Electrical Engineering at the University of Rostock. It is designed for graduates who wish to engage deeply with cutting-edge topics in computer science and develop the skills needed for independent research, advanced development, and complex problem-solving.
The program is structured around two specialisation tracks: **Information Systems** and **Complex Systems**. Students select one track and build a coherent academic profile through a combination of compulsory specialisation modules, elective areas, and interdisciplinary electives. Alongside subject-specific depth, the curriculum includes a non-technical elective area covering competencies such as language skills, presentation techniques, leadership, project management, and the societal impact of computer science.
A central element of the program is the **Project Module** in the third semester, in which students independently investigate a research question or develop a technical solution under academic supervision, putting theoretical knowledge into practice. The fourth semester is dedicated entirely to the **Master's Thesis**, an original research contribution that demonstrates the student's ability to work autonomously on a significant scientific or technical problem.
The program covers a broad spectrum of contemporary research areas. Within Information Systems, students engage with topics such as databases, big data analytics, data mining, software engineering, human-computer interaction, machine learning and artificial intelligence, interactive visual analysis, and simulation. Within Complex Systems, the focus shifts to distributed systems, modeling and verification, self-organizing systems, security and fault tolerance, cryptographic algorithms, middleware, and web technologies.
Both full-time and part-time study modes are available, accommodating a range of personal and professional circumstances. The program admits students for both the winter and summer semesters, offering flexibility in when to begin.
