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Technische Universität Hamburg
Master German + English Computer Science

Computational Methods and Machine Learning in Engineering

Master of Science (M.Sc.)

About the Program

The Computational Methods and Machine Learning in Engineering study program is characterized by its strong interdisciplinary focus, combining core elements of mathematics, computer science, and classical engineering disciplines. Students develop skills in numerical modeling, simulation techniques, algorithm development, and high-performance computing, enabling them to analyze and solve complex physical problems virtually. The program emphasizes both theoretical foundations — such as differential equations and numerical analysis— and practical application through programming. A hallmark of the program is its focus on applying computational methods to real-world engineering challenges, preparing graduates for roles in research, development, and industry innovation.

General Requirements

Specific requirements for this program are not in our database yet. The following are typical for this degree and language in Germany — always verify the exact requirements on the program's official page.

Academic qualification

A recognised Bachelor's degree in a related field; some programs require a minimum grade or specific prerequisites.

Language

Depending on your chosen track: German at C1 (DSH-2/TestDaF) or English (IELTS ~6.5 / TOEFL iBT ~90).

Typical documents

  • Recognised diploma and transcript (certified translations)
  • Language certificate
  • Passport and passport photo
  • Tabular CV (Lebenslauf)
  • Letter of motivation (for many programs)
  • Application via uni-assist / VPD (for most international applicants)

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

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Subjects / Topic Areas

Computational Engineering

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Frequently Asked Questions

Quick answers about Computational Methods and Machine Learning in Engineering at Technische Universität Hamburg

Is Computational Methods and Machine Learning in Engineering at Technische Universität Hamburg taught in German or English? ▼

This Master programme is taught in German + English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Computational Methods and Machine Learning in Engineering programme cost? ▼

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Computational Methods and Machine Learning in Engineering at Technische Universität Hamburg? ▼

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (German + English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline? ▼

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Computational Methods and Machine Learning in Engineering? ▼

Yes. International students may work up to 140 working days a year without additional permission (a day of up to 4 hours counts as half a day). After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Technische Universität Hamburg — directly or via uni-assist? ▼

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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