Master of Science in Computational Modelling and Simulation
An interdisciplinary, research-oriented Master's programme focusing on the mathematical and algorithmic foundations of computational modelling and simulation.
Best for:Best for students with a strong background in computer science, mathematics, or engineering seeking to specialize in advanced computational modelling.
Overview
The Master of Science in Computational Modelling and Simulation (CMS) at Dresden University of Technology is a research-focused, interdisciplinary programme. It provides students with a deep understanding of mathematical and algorithmic foundations, covering areas such as machine learning, data analysis, and numerical simulation. Students can choose from seven specialized tracks, including Computational Life Sciences, Applied Artificial Intelligence, and Computational Engineering. The curriculum combines core foundational modules with track-specific coursework and a hands-on research project. Graduates are prepared for advanced research careers, with the programme offering a fast-track option into structured PhD studies.
What you'll do
- Complete core modules in computational modelling and computer simulation.
- Select and pursue a specialized track in an application-specific domain.
- Participate in interdisciplinary seminars and hands-on research projects.
- Conduct an independent research project during the third semester.
- Author and defend a Master's thesis in the final semester.
Requirements
Degree required: BSc or higher in Computer Science, Mathematics, Natural Science, Economics/Finance, or Engineering
Degree offered: Master of Science
Language: English; B2 level (e.g., IELTS 6.0, TOEFL iBT 4.5, PTE 60)
Instruction: English
- Proficiency in at least one compiled programming language
- Foundational knowledge in calculus of functions
- Basics of linear algebra including matrix operations
- Understanding of probability and distributions
- Knowledge of algorithms and data structures
- BSc-level knowledge in the chosen application track
- Hold a qualifying university degree in a relevant field
- Meet English language proficiency requirements
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2025-07-15
Applications must be submitted through the official university portal. Applicants should select their preferred track upon application and provide all required academic and language documentation.
- Academic transcripts
- Degree certificate
- English language proficiency certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.