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Master's programme

Computational Science and Engineering (CSE) Technical University of Munich

Duration
4 semesters
Language of instruction
English
Tuition fees
Tuition varies
Next application deadline
31 May 2027 (winter semester)
Language level required
English: C1
German: None

Immer wissen, was als Nächstes ansteht

Mit deinem Study Guide hast du eine persönliche To-do-Liste, die sich an dein Herkunftsland, deinen Abschluss und deine Interessen anpasst – und dir zeigt, was als Nächstes wichtig ist.

Programme overview

Quick facts

Degree
MSc
Duration
4 semesters
Full-time / part-time
Full-time
Intake
Winter semester
Joint degree / double degree programme
No
A Diploma supplement will be issued
Yes
Combined Master's degree / PhD programme
No

Language of instruction

English

Courses are held in English (100%).

Programme description

The course of study consists of 120 ECTS credits and comprises 90 credits of coursework and a 30-credit Master's thesis.

The coursework is subdivided into four modules and a collection of additional electives:

1. Scientific Computing (31 credits mandatory):

  • Introductory lectures on scientific computing in the first year
  • introductory "lab" course
  • selection of practical and seminar courses

2. Computer Science (10 credits mandatory subjects, 10 credits elective):

  • Introductory lectures in programming and algorithms
  • key lectures in parallel programming
  • electives on HPC, visualisation, and software engineering

3. Applied Mathematics & Numerical Methods (16 credits elective):

  • Lectures on numerical analysis, and/or
  • lectures on numerics for HPC

4. Applications of CSE (8 credits elective):

  • Each student will choose one application area.
  • Lectures are chosen from catalogues, such as computational fluid mechanics, computational structural dynamics, computational physics, computational methods in medicine or biology, or a similar field.

The remaining 15 credits can be achieved from additional electives either in the above modules or from a much broader "further electives" catalogue including courses in, e.g. parallel and distributed computing, probabilistic and stochastic methods, and data-driven simulation and computing.

For more details on the Computational Science and Engineering (CSE) curriculum, please refer to:

https://www.cit.tum.de/cit/studium/studiengaenge/master-computational-science-engineering/

Programme structure

Of the coursework, 35% is composed of compulsory content on basic CSE topics and 40% is composed of elective subjects from given catalogues with application and methods for CSE.

In addition, 25% of the credit points are assigned to the Master's thesis.

Mode of study

  • Fully on-site

Integrated internships

There is no integrated internship in the programme.

Application and admission

Application period(s)

Winter semester

Applicants from Applications begin Application deadline
All countries
1 February 2027
31 May 2027

Academic admissions requirements

  • Outstanding results in a Bachelor's, Master's, or "Diplom" course (or a degree equivalent to those of a German "Fachhochschule") in some field of science or engineering
  • A solid background in mathematics
  • Good programming skills in a modern programming language
  • A background in science or engineering

Please refer to the CSE website for more details, including required application documents.

Language requirements

Please check all requirements directly with the respective higher education institution. Exceptions may apply. See our website for further details.

German language requirements

German: None

English language requirements

English: C1

Accepted certificates include
Certificates Minimum result
TOEFL iBT Home Edition (since 2026)
Total: 4.5 / 6
TOEFL iBT (since 2026)
Total: 4.5 / 6
TOEFL iBT Home Edition (before 2026)
Total: 88 / 120
TOEFL iBT (before 2026)
Total: 88 / 120
Cambridge English Qualifications
Total: C1 Advanced
IELTS Academic
Total: 6.5 / 9

How to apply?

Website

Please check this website.

Click here

Costs and funding

Tuition fees per semester

Applicants from Tuition fee
EU countries
0 EUR
Iceland
0 EUR
Norway
0 EUR
Liechtenstein
0 EUR
Non-EU countries
6,000 EUR

Semester contribution

Cost of living

In order to cover personal expenses while studying in Munich, we recommend a budget of at least 1,000 EUR per month.

Please refer to the following page for more information:
https://www.studentenwerk-muenchen.de/en/international/international-students-in-munich/in-preparation/cost-of-living/.

Part-time employment

There are various opportunities as teaching assistants and research assistants at the university.
Munich is also an excellent place to find internships at companies.

As CSE is a full-time study programme, we generally do not recommend working more than ten hours per week.

Please refer to the following page for more details:
https://www.tum.de/en/studies/during-your-studies/living-and-working/jobs-and-internships.

Scholarships and financing information

Many international students can have their fees waived or receive scholarships to finance them. You can find all information on waivers and scholarships here.

Living & services

Support for international students

  • Buddy programme
  • Tutors

Accommodation

It’s not easy to find a place to live in Munich – but it’s not impossible either! The Technical University of Munich (TUM) supports students and staff in their search for accommodation by providing personal advice, in-house listings and useful information to ensure that you can quickly find a place to call your own.
https://www.tum.de/en/studies/during-your-studies/living-and-working/accommodations

Contact

Main contact

School of Computation, Information and Technology Chair of Scientific Computing CSE Coordinators

Adresse
Boltzmannstraße 3, 85748 Garching b. München
E-Mail
E-mail

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Stipendien werden geladen...

Diese Stipendien könnten zu diesem Studiengang passen. Bitte wähle zuerst ein Herkunftsland aus. 

Immer wissen, was als Nächstes ansteht

Mit deinem Study Guide hast du eine persönliche To-do-Liste, die sich an dein Herkunftsland, deinen Abschluss und deine Interessen anpasst – und dir zeigt, was als Nächstes wichtig ist.