Computer Science
Master of Science

After successfully completing a relevant bachelor's degree in computer science at a university in Germany (or at an equivalent domestic or foreign educational institution), a master's program can be started. This requires a final grade of at least 2.5 in the Bachelor's degree or a very good Bachelor's thesis and an overall grade of at least 3.0. The four-semester degree program with the "Master of Science" (M.Sc.) as a degree can be started in the summer and winter semesters. Application and aptitude test are made directly at the Heinrich Heine University. The application deadlines are March 15th and September 15th.

The Master's program builds on the bachelor's program and has a standard duration of four semesters. In contrast to the Bachelor program, the Master program is scientifically oriented. Participation in current research questions and projects - integrated into the working groups of the scientists of the institute - is therefore an important element of the computer science master's program in Düsseldorf. A successfully completed master's program enables both the entry into the scientific career through a doctorate and the entry into the economy, which has a high demand for highly trained computer scientists.

In terms of content, there is a clear focus and concentration compared to the bachelor's degree. The basics of the bachelor's program are specialized and deepened. Thereby, there is a great scope to set individual accents by the choice of different events and to arrange the study according to the own interests - in fact, not a single event is compulsory for all students!

The Institute of Computer Science of the Heinrich Heine University Düsseldorf currently consists of twelve working groups covering a broad spectrum. The focal points of the working groups are at the same time the topics in which a focus in the bachelor's or master's program is possible:

• Algorithms and Data Structures (Prof. Dr. Melanie Schmidt)
• Algorithms and Data Structures (Prof. Dr. Egon Wanke)
• Algorithmic Bioinformatics (Prof. Dr. Gunnar W. Klau)
• Operating Systems (Prof. Dr. Michael Schöttner)
• Big Data Analytics for Mircoscopical Images (Prof. Dr. Timo Dickscheid)
• Computational Cell Biology (Prof. Dr. Martin Lercher)
• Data & Knowledge Engineering (Prof. Dr. Stefan Dietze)
• Datenbases and Information Systems (Prof.. Dr. Stefan Conrad)
• Dialog Systems and Machine Learning (Prof. Dr. Milica Gašić)
• Digital Innovation and Entrepreneurship (Prof. Dr. Steffi Haag)
• Complexity Theory und Cryptology (Prof. Dr. Jörg Rothe)
• Machine Learning (Prof. Dr. Paul Swoboda)
• Machine Learning for Medical Data (Prof. Dr. Dominik Heider)
• Computer Networks (Prof. Dr. Martin Mauve)
• Responsible Machine Learning (Jun.-Prof. Dr. Gabriella Lapesa)
• Software Engineering and Programming Languages (Prof. Dr. Michael Leuschel)

Precisely because the institute is rather small and young compared to the computer science faculties of many other universities, a teaching and learning culture becomes possible that is characterized by openness and transparency. The professors, professors and private lecturers are directly accessible to the students, we attach great importance to the direct contact between teachers and students.

The Master's program in Computer Science comprises achievements amounting to 120 credit points (CP) according to these study achievements:

CE: Compulsory elective; MA: Master Thesis. The core of the study is focused on events that can be used in various fieldsoof practical, technical or theoretical computer science. Here courses can be selected from a wealth of offers according to personal preferences

The so-called project work, which is particularly special in this field in a computer science master's degree program, also plays a central role. Over a total of two semesters, our students participate in current research projects in which they work on and discuss central research questions in direct interaction with the scientists get to know computer science research "first hand". The project work conveys the methods and questions of science and leads to a master's thesis, in which over half a year, independently but with intensive personal support, a current scientific topic is worked on in order to finally acquire the degree of a "Master of Science".

Due to the close involvement of the students in the research work at the university, students are able to actively recognize their interests early on, to deepen their knowledge through appropriate choice of events and influence the research landscape by their work.

Is computer science a part of you and has the master's program in computer science at the Heinrich Heine University convinced you? Then contact us! We look forward to young talents!

Computer scientists are in demand today in all sectors of the economy. This is not only due to the fact that information and communication technology is used practically everywhere and in ever-increasing measure: computer scientists are well-versed in the recording, analysis and structuring of contexts. These competences are combined with the ability to formulate and practically tackle problems and their solutions both abstractly and in practice. For this reason, computer scientists often work in interdisciplinary teams in which they build valuable bridges between theory and practice. The computer science master's program aims to train this problem-solving competence and to deepen it over the entire spectrum of the subject

Whether you need to be a programming ace for that, which can provide mathematical evidence in your sleep? Definitely not! Much more important are interest in complex contexts, fun in the puzzle, the tenacity to face even difficult challenges, and a certain basic mathematical and scientific understanding, as shown in the corresponding subjects in the bachelor's degree.