Technische Universität Berlin: Computational Materials Engineering
Technische Universität Berlin

Study Computational Materials Engineering at Technische Universität Berlin (2026/27)

Technische Universität Berlin (TU Berlin), founded in 1879, is one of Europe’s leading technical universities. Located in the heart of Berlin, it combines a long-standing tradition of academic excellence with a forward-looking approach to research and innovation. With over 30,000 students, TU Berlin offers a dynamic environment at the intersection of science, technology, and society.

The university’s campuses blend historic charm with modern facilities, creating a space for creativity, collaboration, and hands-on learning. Its central location ensures strong ties to industry, culture, and research institutions.

TU Berlin offers a wide range of programs across engineering, computer science, natural sciences, economics, and planning, with particular strengths in Mechanical Engineering, Electrical Engineering, Computer Science, Urban Planning, and Sustainability.

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Technische Universität Berlin (TU Berlin), founded in 1879, is one of Europe’s leading technical universities. Located in the heart of Berlin, it combines a long-standing tradition of academic excellence with a forward-looking approach to research and innovation. With over 30,000 students, TU Berlin offers a dynamic environment at the intersection of science, technology, and society.

The university’s campuses blend historic charm with modern facilities, creating a space for creativity, collaboration, and hands-on learning. Its central location ensures strong ties to industry, culture, and research institutions.

TU Berlin offers a wide range of programs across engineering, computer science, natural sciences, economics, and planning, with particular strengths in Mechanical Engineering, Electrical Engineering, Computer Science, Urban Planning, and Sustainability. Many programs are unique within Germany, reflecting TU Berlin’s interdisciplinary and innovative character.

A member of the prestigious TU9 alliance and a participant in the German Excellence Initiative, TU Berlin is internationally recognized, ranking among the top 200 universities worldwide. Its community includes Nobel laureates like Fritz Haber and pioneers such as Konrad Zuse. TU Berlin prepares graduates to tackle real-world challenges with a strong foundation in research, entrepreneurship, and social responsibility.

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TU Berlin: Computational Materials Engineering-related subjects
Quick Facts
Type
Technical University (public)
Study programs
1
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Semester
TU Berlin: Computational Materials Engineering

TU Berlin: Computational Materials Engineering

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Technische Universität Berlin Ranking in Computational Materials Engineering

Technische Universität Berlin & Most Popular Computational Materials Engineering Universities in Germany

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Technische Universität Berlin
Technische Universität Berlin
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Fees & Costs

German Students
Other EU Students
Non-EU Students
German Students
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Tuition Fee
Master
No tuition fees
Disclaimer: You should use this text as a general guide, but it cannot serve as a guarantee. Keep in mind that there is no universal tuition fee that applies to all study programs and all student groups. Hence, we urge you to always individually double-check the specific fees of the specific study programs offered by the Technische Universität Berlin on its official website.

Deadlines

Below are the most frequent application deadlines for Technische Universität Berlin Computational Materials Engineering programs.
German Students
Other EU Students
Non-EU Students
Non-EU Students
Winter Semester
Summer Semester
Admission-restricted courses Admission-free courses
Master 15 JuneNo courses
Master
Admission-restricted courses
15 June
Admission-free courses
No courses
Specific courses may have different application deadlines. Please always double-check the information individually.
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Numerus Clausus (Admission Restriction)

For degree courses with a numerus clausus, part of the study places are allocated according to the grade point average (GPA) of the previous degree. Selection is generally based on how many applicants apply for a place. The higher the grade, the more difficult it is to get onto the course. The German grading system ranges from 1.0 (very good) to 6.0 (unsatisfactory).
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Technische Universität Berlin: All Computational Materials Engineering Programs

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