TUHH Master Programs
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Hamburg University of Technology: List of all Master programs (2026/27)

The Hamburg University of Technology (TUHH/TU Hamburg), founded in 1978, is a specialized public technical university with 8,000 students in Hamburg-Harburg. It focuses exclusively on engineering, technology, and natural sciences, offering programs in mechanical, electrical, civil, and process engineering, as well as distinctive specializations in naval architecture, logistics, and green technologies. TUHH is located in Harburg, 20 minutes south of Hamburg's city center by S-Bahn. This compact technical university operates from a modern campus near the Elbe River.

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Quick Facts
Type
Technical University (public)
of international students
32%
No. of students (2026)
8,704
Term model
Semester

Master Programs at TUHH: Overview

Intake

49%
Winter Semester
51%
Both Semesters
Application Deadlines

Language of Instruction

49%
English only
11%
English & German
11%
German only
29%
German (and some English)

Tuition fees

GermanyEU Germans & EU Students
World Non-EU Students
77%
tuition-free
23%
with tuition

Hamburg University of Technology: All Master Programs

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35 courses
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MBA Technology Management - Double Master's Рrοgram
MBA Technology Management - Double Master's Рrοgram
MBA Technology Management - Double Master's Рrοgram
MBA Technology Management - Double Master's Рrοgram
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Business Analytiсs & АI
Business Analytiсs & АI
Business Analytiсs & АI
Business Analytiсs & АI
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MBA Technology Managеmеnt
MBA Technology Managеmеnt
MBA Technology Managеmеnt
MBA Technology Managеmеnt
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Global Technology and Innovation Management & Entrepreneurship (GTIΜΕ)
Global Technology and Innovation Management & Entrepreneurship (GTIΜΕ)
Global Technology and Innovation Management & Entrepreneurship (GTIΜΕ)
Global Technology and Innovation Management & Entrepreneurship (GTIΜΕ)
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Computational Methods and Machine Learning in Enginееring
Computational Methods and Machine Learning in Enginееring
Computational Methods and Machine Learning in Enginееring
Computational Methods and Machine Learning in Enginееring
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