Saarbrücken Graduate School of Computer Science

Overview

The graduate school offers a research-focused, English-language environment for advanced study in computer science, covering almost all subfields of the discipline. It brings together internationally recognized research institutes and university groups on one campus, creating a lively, interdisciplinary setting for coursework and research. Students benefit from close links to major partner institutions in Saarbrücken that actively participate in the graduate school.

Structure and opportunities

The academic programme begins with a preparatory phase that features a wide selection of courses and opportunities to explore different research areas. After successfully completing this phase, students enter the main research and dissertation stage. The graduate school hosts research immersion labs and additional breadth requirements to help students identify and join research groups early on. Talented candidates with an excellent bachelor’s degree may be admitted directly to an early start, and students also have the option to submit a master’s thesis during the programme if they wish to obtain a Master’s degree en route to doctoral research.

Research environment and scale

The graduate school is co-located with the International Max Planck Research School (IMPRS-TRUST) and works closely with several leading institutes and campus units, providing extensive interdisciplinary collaboration in areas such as computational linguistics, cognitive science, business information systems, law and computer science, and bioinformatics. The school supports a large research community—over 540 doctoral candidates are based in Saarbrücken, including roughly 70 in the preparatory phase—making it a substantial hub for graduate research.

Key facts and requirements

• Language of instruction: English
• Large, research-intensive environment with strong interdisciplinary collaboration
• Co-located and partnered institutes include the Max Planck Institutes, CISPA, DFKI, and the Center for Bioinformatics (active partners)
• Programme begins with a preparatory phase offering broad course options and research exploration
• Successful completion of the preparatory phase is required to progress to the main research/dissertation phase
• Talented applicants with an excellent bachelor’s degree may be admitted early
• Option to submit a master’s thesis to obtain a Master’s degree during the programme
• Graduate students face additional breadth requirements and participate in research immersion labs to find suitable research groups early on

Curriculum overview

The programme is organised in two main stages: a preparatory coursework phase tailored to each candidate’s prior qualifications, followed by a qualifying examination and then the research and dissertation phase. During the preparatory phase students take a broad set of courses and join research projects to survey the full spectrum of computer science while beginning to specialise in areas of interest. Part‑time study is allowed in the preparatory stage, and students receive close, continuous supervision from a dedicated faculty team throughout all phases. After passing the qualifying exam, students may move directly into the dissertation phase — holding a prior Master’s degree is not required for admission to doctoral research.

Research environment and opportunities

The campus provides an exceptionally rich research setting: over 800 researchers work across co‑located institutes (including two Max Planck Institutes and the German Research Center for Artificial Intelligence), and more than 540 doctoral candidates are already pursuing theses in internationally recognised research groups. This concentration of expertise gives students access to a wide range of topics and collaborative projects, enabling early entry into doctoral studies in line with international practice and strong integration into active research teams.

Key learning outcomes

Students complete advanced coursework and hands‑on research projects that prepare them to:

• Master a broad foundation in computer science while developing deep expertise in selected subfields
• Design and conduct independent, original research suitable for a doctoral dissertation
• Successfully pass the programme’s qualifying exam and transition to sustained research activities
• Produce a substantial thesis (and, if applicable, satisfy the institution’s Master’s regulations including a Master’s thesis during the preparatory phase)

Program requirements (key milestones)

• Complete preparatory coursework tailored to entrance qualifications (part‑time study possible during this phase)
• Participate in research projects and advanced courses covering a wide range of computer science areas
• Pass the qualifying examination to enter the dissertation/research phase
• Note: a Master’s degree is not required for entry to the dissertation phase; a Master’s degree will be awarded only if all Master’s regulations are fulfilled during the preparatory phase, including completion of a Master’s thesis
• Receive and engage with continuous supervision from faculty and research groups across the campus

Graduates typically continue into doctoral research and academic careers, culminating in a doctoral degree (Dr. rer. nat. or Dr.-Ing.). The programme’s close ties to leading research institutes and strong supervision prepare students for postdoctoral positions and faculty roles.

Alumni also move into research and development roles in industry — for example in AI, cybersecurity, bioinformatics and high-tech startups — or into research-intensive positions at national and international research centres. The combination of coursework, research projects and networked institute collaborations supports both academic and industry career paths.