Scientific Computing

TU Berlin

M.Sc. On Campus
24 months
Tuition fee
Apply date
Start date


The Scientific Computing program from TU Berlin has transitioned from providing insight to also providing reliable numbers for design in engineering disciplines, thereby shortening and economizing the design cycle for products and processes. 


Development of new technology is a key answer to economic and social demands for improved sustainable quality of life. Advanced Scientific Computing is an enabling technology for scientific discovery and engineering design. The remarkable development of large scale computing has turned Scientific Computing into the scientific “third pillar”, complementing theory and experiment.

Scientific Computing program from TU Berlin is a key technology for applications in medicine, climate, energy and environment, advanced materials, biology, nano-manufacturing, and many, many others. Virtual prototyping is ubiquitous in most sectors of industry. The businesses in Telecom, IT, Power generation and distribution, Aerospace, Financial industries, and Automotive are broad-spectrum users, relying on in-house resources, academia, research institutes, and software developers as providers.

Although Scientific Computing research is often initiated by challenges of certain application areas, the subject of Scientific Computing is the tools developed which are universal and generally transferable to other applications. The computer science and mathematics skills needed are quite broad, because the strength of such generic tools lies in their innovative power to bring techniques from one discipline to bear on problems from very different settings. It follows that advances in modeling need both deeper insight in mathematics, familiarity with the application area, and with high-performance computer software issues.

Programme Structure

Course Overview:

  • Area 1: Scientific Computing
  • Area 2: Applied Mathematics
  • Area 3: Applied discipline
  • Area 4: Free choice
  • Area 5: mathematical Seminars
  • Area 6: Internship
  • Area 7: Master thesis

Key information


  • Full-time
    • 24 months

Start dates & application deadlines




120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Application form for direct applicants of TU Berlin
  • Copy of your undergraduate/primary university degree
  • Proof of language proficiency  
  • Copy of your passport or ID card
  • Further specific proofs and certificates (degree course related)

Tuition Fee

  • International

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.
  • EU/EEA

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.


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Scientific Computing
TU Berlin