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Oldenburg, Germany
Cost Of Living
Undergraduate Fees International Students
Post Graduate Fees International Students
The below information is required while
completing the university application :
Higher Secondary School Certificate – Equivalent to the German "Abitur" (e.g., Indian CBSE Class 12 with good scores).
University Entrance Qualification (HZB) – Verified through anabin or uni-assist to ensure eligibility.
Language Proficiency
German-taught programs: TestDaF (min. TDN 4), DSH-2, or Goethe C1/C2.
English-taught programs (limited): IELTS/TOEFL scores if required.
CV/Resume – For international applicants, sometimes optional.
Letter of Motivation – Often needed for selective or limited-seat programs.
Proof of Internship/Work (if required) – Some technical or business courses ask for practical experience.
APS Certificate – Required for Indian, Vietnamese, Chinese applicants.
Know more
In June 2025, Oldenburg and the University of Bremen submitted a joint University Excellence Consortium proposal to the Wissenschaftsrat, aiming to secure €15–28 million annually in funding starting 2027. This initiative is built on their shared scientific strengths and 2025 Success in Excellence Clusters.
Oldenburg was once again nominated for the German Sustainability Award in 2024, recognizing its interdisciplinary sustainability work, carbon-neutrality commitment (2030 target), and rooftop solar systems—among the highest in Germany.
The Research Group Cascade Use at the university won the German Federal Ministry of Economic Affairs’ Raw Material Efficiency Award (2018) for its RAUPE decision-support tool, with the prize officially awarded in January 2019. It was the only academic winner.
Part of the new NaviSense Cluster of Excellence, this long-term research explores quantum-based magnetoreception in migratory animals. The findings are translated into bio-inspired sensors and autonomous navigation systems for robotics and conservation applications—secured major federal funding in May 2025
Dr. Sovanna Chhoeung, as part of her doctoral research, developed an AI-driven system using Random Forest algorithms to predict parametric rolling on ships. It provides real‑time course/speed recommendations to prevent accidents—recognized with the 2023 Innovationspreis Niedersachsen in the “Vision” category
Originating from the Department of Automated Manufacturing Technology (AMT) and OFFIS, this mobile robot base supports modular payloads up to 50 kg and uses ROS (Robot Operating System). Its omnidirectional drive makes it highly flexible for research, teaching, and industrial adaptation—with roots in EXIST start‑up funding around 2015–2016.
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