International Graduate School for Dynamics in Logistics (IGS)

Structured doctoral programme in logistics dynamics at the University of Bremen that combines an individual doctoral project with interdisciplinary training, colloquia, coaching, and close links to the LogDynamics research cluster and industry.

Academic requirements

The decisive element of the application is the preliminary research proposal, which should describe a research question, research methods and literature references. A research plan is mandatory as well.

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

The reviewed official IGS research report states that the working language of training and thesis is English. The reviewed DAAD record states that applicants should have a very good command of English and lists minimum examples including TOEFL iBT 95 plus TWE 5.0 or IELTS 7.0 with at least 6.0 in each module.

German requirements

Familiar with basic German.

Accepted bachelor fields

The reviewed DAAD record states that applicants need a master's degree equivalent to a German university degree in production engineering, industrial engineering, economics, electrical engineering, physics, computer science, mathematics, logistics, or law. The reviewed official IGS page describes the school as part of the interdisciplinary LogDynamics research cluster across these logistics-related fields.

APS Certificate

Yes

Thesis required

Yes

Tuition fee

None

Semester contribution

EUR 425.40 per semester (current semester contribution published by the University of Bremen for Winter Semester 2025/26).

Funding info

Tuition: None Semester contribution: EUR 425.40 per semester (current semester contribution published by the University of Bremen for Winter Semester 2025/26).

The reviewed official and DAAD pages describe the IGS as preparation for research and advanced professional work in logistics, including academic careers, interdisciplinary logistics research, and industry-linked doctoral work in dynamic planning, control, modelling, and logistics systems.

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