Choice between a software and a data science project, although it is also possible to complete a project that has not been selected as part of an elective. Completion of individual compulsory modules in English in order to prepare for the predominantly English-language elective and the English-language master's degree programme. Hybrid exercise group offerings for all compulsory modules.

Research-oriented teaching through a research project (participation in a working group) as part of the master's degree programme. Development of individual focus areas of study through regularly revised master's degree programmes. Interdisciplinary study opportunities through numerous areas of application within CAU.

English Master's programme in the Master's degree programme in Computer Science and various Erasmus partnerships.

Universidad de Cadiz (ES), University of Bergen (NO), Università degli studi di Bologna (IT), University of Malta (MT), University of Gothenburg (Schweden), Université de Bretagne Occidentale, Brest (FR), Universidade de Lisboa (PT), Universidad de La Laguna, Tenerife (ES), Charles University in Prague (CZ), Universität Wien (AT)

The entire campus is equipped with WiFi. The institute has several generally accessible computer rooms. One of these rooms is intended as a student workroom only. The others can be used if they are not occupied for courses. In all of these rooms there is HP ThinClients together with the software and electricity and network connections used in the basic education. Labs for special applications are also available to the work groups for research and teaching, such as databases, multimedia, FPGA, model railways, real time systems.

Focus on algorithms, systems engineering and data science; interdisciplinary character, including participation in the clusters of excellence and the postgraduate school as well as cooperation with the Leibniz Information Centre for Economics as well as the Software Systems Engineering skills network and the Digital Science Centre; Close association with neighbouring subject areas, such as business Informatics and Scientific Computing/practical mathematics.

Close contact between lecturers and students; Very active departmental student body; Specially developed quality assurance process for teaching; Diverse contacts with industry in the region; Located in an area with high recreational value.

https://www.studium.uni-kiel.de/de/textbausteine/zul-beschraenkung-bewerbung-und-einschreibung