Computational Engineering
The Master of Science in Computational Engineering is a prestigious graduate program jointly offered by the University of Erlangen-Nuremberg and Università della Svizzera Italiana in Lugano, Switzerland. Designed for professionals aiming to expand their expertise, this full-time international degree combines academic depth with industry practice. Students gain hands-on experience in computer science, mathematics, engineering informatics, and interdisciplinary engineering applications, preparing them for advanced roles in research and the global engineering industry. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Erlangen, one of Germany’s leading technical hubs, this master’s program emphasizes both innovative engineering solutions and technical excellence. With a strong focus on practical training and collaborative projects, students not only develop advanced computational and engineering skills but also benefit from international networking opportunities. The course reflects Germany’s reputation for combining academic quality with professional relevance, making it an excellent choice for those seeking to specialize in computational engineering for global technological markets.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Erlangen
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Electrical Engineering, Mechanical Engineering, Engineering Informatics
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Computational Engineering
- Principles of Computer Science & Applied Mathematics
- Introduction to Engineering Informatics
- Basics of Simulation and Modeling
- Technical Project Planning
Semester 2 – Advanced Computational Techniques
- Numerical Methods & Optimization
- Computational Mechanics
- Machine Learning and Data Analytics
- Collaborative Project I (engineering case study)
Semester 3 – Specialization & Industry Practice
- High-Performance Computing & Simulation
- Computational Materials Science & Dynamics
- Project Management & Team Leadership
- Collaborative Project II (industry-partnered project)
Semester 4 – Master’s Thesis & Final Project
- Independent Research or Creative Thesis
- Development of Final Computational Engineering Project
- Presentation & Portfolio Development
Career Opportunities
Graduates of this program are prepared for a wide range of roles within the field of Computational Engineering and related technical industries. Career paths include computational engineer, simulation specialist, data analyst, software developer, and research engineer. Students benefit from Erlangen’s strong academic and industrial network, providing opportunities to collaborate with international research institutes and technology companies.
Why Choose This Program
Choosing the Master of Science in Computational Engineering at the University of Erlangen-Nuremberg means joining a program that combines rigorous academic training with practical, real-world applications. The program offers access to expert faculty, cutting-edge laboratories, and collaborative projects that mirror current industry challenges.
Its unique strength lies in integrating advanced computational techniques, interdisciplinary engineering knowledge, and international perspectives. Students not only develop high-level problem-solving and analytical skills but also gain the collaborative experience needed to succeed in research, development, and applied engineering roles worldwide.
Contact Information
Student Advisory Service
Zentrale Studienberatung (ZSB)
Schlossplatz 3
91054 Erlangen, Germany
Tel: 09131 / 85-23333
Fax: 09131 / 85-24803
Email: zsba@fau.de
Programme Contact
Department Informatik
Martensstr. 3
91058 Erlangen, Germany
Tel: 09131 / 85-27998
Email: studienberatung-cea@fau.de
International Office
Servicestelle International (RIA)
Helmstraße 1
91054 Erlangen, Germany
Tel: 09131 / 85-24801
Fax: 09131 / 85-22131
Email: kira.gehrmann@fau.de
