A research-oriented master's programme structured around five thematic Focus Areas — from algorithms and data to software engineering — allowing students to build a personalised profile across disciplines while completing a mandatory practical project embedded in the curriculum.
The Master's programme in Computer Science at Universität Paderborn is designed for graduates who want to deepen their expertise in a flexible, research-informed environment. The curriculum is built around five thematic Focus Areas, and students construct their academic profile by selecting nine elective modules — each worth 6 credit points — drawn from at least two different Focus Areas. This cross-area structure ensures breadth while still enabling genuine depth: completing three modules within a single Focus Area constitutes a recognised specialisation in that area.
Beyond the elective module structure, the programme integrates mandatory practical elements directly into the study plan, ensuring that theoretical knowledge is applied in realistic settings. Students gain hands-on experience through project work embedded in the curriculum, complemented by access to entrepreneurship support through garage33 — the university's start-up initiative — and industry-facing activities such as company visits and career events.
Instruction takes place primarily in English, with individual modules offered in German where indicated in the respective course descriptions. This mixed-language environment prepares graduates for international professional and research contexts.
The programme is offered in both the winter and summer semesters, and is available as a full-time course of study. Students can enter the programme either directly after completing a relevant bachelor's degree or after practical professional experience, depending on their trajectory. The degree is awarded by the Faculty of Electrical Engineering, Computer Science and Mathematics — one of the technically strong faculties at the university — providing access to research groups active across the full breadth of modern computer science.
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