Computational Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is an interdisciplinary program integrating engineering principles, computational sciences, and applied mathematics to address complex scientific and technical challenges. The curriculum emphasizes high-performance computing, simulation, and modeling techniques, preparing students for innovative roles in research and industry.
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Computational Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is an interdisciplinary program integrating engineering principles, computational sciences, and applied mathematics to address complex scientific and technical challenges. The curriculum emphasizes high-performance computing, simulation, and modeling techniques, preparing students for innovative roles in research and industry.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
6.0
Starting 2025-10-01
Apply before 2125-04-18
Unknown
Courses include:MathematicsComputer ScienceTechnical Application FieldElective Technical Subjects
Applicants must hold a bachelor's degree in Computational Engineering, Computer Science, Applied Mathematics, or an engineering discipline. Required application materials include a detailed CV, a motivation letter, high school leaving certificate with English translation, university entrance exam results (if applicable), university certificates with translations, international transcripts, TOEFL or equivalent English proficiency proof, and, where applicable, APS certificate (for Chinese applicants). Additional language certificates and GRE scores are optional but advantageous. Proven proficiency in computer usage and programming is essential.
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Annual Fee
2 years
Total Duration
No Living costs available.
No University Scholarships Available
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Amount
1250 USD
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
Various benefits
Deadline
Not specified
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Amount
2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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