Computational Modelling in Engineering - CME
Karlsruhe Institute of Technology KIT · Karlsruhe, Germany
- Level
- Master's
- Award
- Master of Science
- Language
- English
- Duration
- 4 semesters
- Study mode
- Full-time
- Campus
- Karlsruhe
- Apply by
- Register by 15 January 2027 + 1 more
- Starts
- Winter and summer semester
- Tuition
- €3,000
Entry requirements and how to apply
- Entry requirements
- BSc in Engineering programme (min. grade 2.3) Engineering/natural sciences background: ≥ 40 ECTS Mathematical knowledge ≥ 15 ECTS Sufficient English language skills (min. B2) Achieving min. 10 points in a selection interview on engineering problem-solving (0-10 points), presentation of engineering topics (0-5 points) and motivation and fit for the programme (0-5 points).
- English language requirement
- B2 required, please provide an official language certificate, e.g.: UNIcert® English: UNIcert® II TOEIC: 785 Reading: 385 Listening: 400 Speaking: 160 Writing: 150 TOEFL iBT (before 2026): 90 Reading: 18 Listening: 17 Speaking: 20 Writing: 17 PTE Academic: 59 IELTS Academic: 6.5 Cambridge English Qualifications: B2 First
- German language requirement
- No minimum language level required
- Application period
- The following is valid for applicants from: all countries For the summer semester: until 15 January The following is valid for applicants from: all countries For the winter semester: until 15 July
- Apply through
- Please check this website .
About this programme
Model. Compute. Innovate. Engineering a Sustainable Future. The English-taught Master’s programme Computational Modelling in Engineering is designed for motivated students with a background in engineering, natural sciences, or computer science who want to shape sustainable technologies in an increasingly digital world. The programme offers a strong foundation in mathematical and physical modelling, complemented by advanced numerical and data-driven methods that are essential in modern engineering practice. As a student, you will learn to develop, analyse, and critically evaluate complex computational models while working in interdisciplinary teams that reflect real-world engineering environments. The curriculum combines fundamental theory with practical applications across various engineering domains, equipping you with skills that are both academically rigorous and highly relevant for your future career. A broad range of elective courses allows you to tailor your studies to your personal interests — whether you are passionate about materials science, fluid dynamics, structural mechanics, or innovative data‑centric approaches. Thanks to the close integration of teaching and active research, you will gain insights into current scientific challenges and collaborate with international researchers. Graduates benefit from excellent global career prospects in academia, research institutions, and forward‑thinking industries.
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