Friedrich-Alexander-Universität Erlangen-Nürnberg, Bavaria
Faculty of Engineering
MSc in Computational Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg, Bavaria
Faculty of Engineering
24
Program Duration
Computational Science
Degree Type
120
Course Credits
Master of Computational Engineering is one of the best courses to choose from that offers
in-depth learning in a Computational Science. An MS Degree in Computational Science from the
Friedrich-Alexander-Universität Erlangen-Nürnberg has consistently made its place among the top global universities.
International students prefer this course at the Friedrich-Alexander-Universität Erlangen-Nürnberg due to its high graduate
employability rate.
Friedrich-Alexander-Universität Erlangen-Nürnberg offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Computational Science from the Friedrich-Alexander-Universität Erlangen-Nürnberg, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at Friedrich-Alexander-Universität Erlangen-Nürnberg offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computational Science from the Friedrich-Alexander-Universität Erlangen-Nürnberg is
a great choice for students who want to analyse the field in great depth.
Why Study Computational Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg
Test Score Requirements
Minimum english score required
IELTS
5.5
TOEFL
80
Minimum aptitude score required
GRE
Optional
Application Pre-requisites
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Yocketer profiles
Akarsh Varma Uppalapati
ShortlistedMSc in Computational Engineering
Fall 2025
Neeraj Menon
ShortlistedMSc in Computational Engineering
Fall 2025
Neda Faiz
ShortlistedMSc in Computational Engineering
Fall 2025
Hemanth Selva Raaja
ShortlistedMSc in Computational Engineering
Fall 2023
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