Computational Modelling and Simulation
The Master of Science in Computational Modelling and Simulation at TU Dresden is an international graduate program designed for students aiming to combine computer science, applied mathematics, and engineering to solve complex scientific and technical problems. The program focuses on computational life sciences, visual computing, computational engineering, energy economics modeling, and applied artificial intelligence, offering students a strong foundation in both theory and practical simulation techniques. Students gain hands-on experience in algorithm development, numerical simulation, and data-driven modeling, preparing them for advanced roles in research, industry, and technology-driven fields.
Located in Dresden, a hub for scientific innovation, this program emphasizes interdisciplinary learning, cutting-edge computational methods, and international collaboration. Students benefit from access to modern computing facilities, expert faculty, and collaborative projects, enabling them to develop the analytical, programming, and modeling skills necessary to excel in high-demand global careers in computational science, engineering, and AI-driven applications.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Dresden
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Mechanical Engineering, Applied Computer Science, Bioinformatics, Computer Science, Applied Mathematics, Artificial Intelligence
- Admission modus: Selection procedure / qualifying examination
- Main language: English
Program Structure
Semester 1 – Foundations of Computational Modelling
- Introduction to Computational Methods
- Mathematical Modelling and Simulation
- Programming for Scientific Computing
- Basics of Visual Computing
Semester 2 – Advanced Techniques and Applications
- Computational Life Sciences
- Computational Engineering Methods
- Logic Modelling and Numerical Simulation
- Applied Artificial Intelligence (from Winter Semester 2023/24)
Semester 3 – Specialization & Project Work
- Energy Economics Modelling
- Visual Computing and Data Visualization
- Project Management in Computational Science
- Collaborative Research Project
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Thesis
- Advanced Simulation Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of the Master of Science in Computational Modelling and Simulation are equipped for a variety of roles across academia, research institutions, and industry sectors. Potential career paths include computational scientist, simulation engineer, data analyst, AI specialist, and applied mathematician. Students gain practical experience with advanced modelling techniques, preparing them for positions in engineering, bioinformatics, energy, and technology-driven industries.
Why Choose This Program
This program combines rigorous academic training with hands-on, application-oriented experience in computational methods. Offered by Technische Universität Dresden, it provides access to state-of-the-art facilities, expert faculty, and collaborative research projects. Students benefit from a strong international perspective and an interdisciplinary curriculum that integrates mechanical engineering, applied mathematics, computer science, and bioinformatics.
The program’s unique strength lies in its specialized focus on computational life sciences, visual computing, computational engineering, and applied artificial intelligence. Graduates gain practical experience with advanced modelling techniques, preparing them to excel in research, industry, and technology-driven environments where complex problem-solving and innovative approaches are required.
Contact Information
Technische Universität Dresden – Student Advisory Service
Fritz-Foerster-Bau, Mommsenstr. 6
01069 Dresden, Germany
Tel: +49 351 463-42000
Fax: +49 351 463-42001
Email: studienberatung@tu-dresden.de
Fakultät Informatik – Programme Contact
Andreas-Pfitzmann-Bau (APB), Nöthnitzer Str.
4601187
Dresden, Germany
Email: cms-admin@mailbox.tu-dresden.de
International Office – Technische Universität Dresden
Fritz-Foerster-Bau, Mommsenstr. 6
01069 Dresden, Germany
Tel: +49 351 463-42000
Fax: +49 351 463-42001
Email: studium.international@tu-dresden.de
