Master of Science in Computational Engineering

The Master of Science in Computational Engineering at Friedrich-Alexander-University Erlangen-Nürnberg is a comprehensive program that dives deep into the realms of Computational Science. This program is tailored for students who aspire to not only understand but also innovate in the field of engineering through computational methods. With a curriculum that blends theoretical foundations with hands-on applications, students will engage in a variety of subjects including numerical methods, data analysis, and algorithm development, preparing them for the challenges of the modern engineering landscape.

The program spans a duration of 24 months and comprises a rigorous curriculum that includes core courses such as Computational Fluid Dynamics, Finite Element Methods, and High-Performance Computing. Students will also have the opportunity to choose from elective courses that cover specialized topics such as Machine Learning, Robotics, and Environmental Modeling. This flexible structure allows students to tailor their education according to their career aspirations while gaining a solid foundation in essential computational skills.

Faculty expertise is a cornerstone of the Computational Engineering program. The faculty members at Friedrich-Alexander-University Erlangen-Nürnberg are renowned experts in their fields, contributing extensively to research and development projects that influence both academia and industry. Their teaching methodology emphasizes interactive learning, where students are encouraged to engage actively in discussions, simulations, and collaborative projects. This approach not only enhances learning outcomes but also helps students develop critical thinking and problem-solving skills essential for their future careers.

In addition to an outstanding educational experience, the program offers unique research opportunities and resources. Students are encouraged to participate in ongoing research projects, which are supported by state-of-the-art laboratories and computational facilities. They will have access to a vast array of resources, including supercomputers and simulation software, allowing them to engage in cutting-edge research that addresses real-world engineering challenges.

The connection between academia and industry is robust at Friedrich-Alexander-University Erlangen-Nürnberg. The program has established partnerships with various companies, providing students with valuable internship opportunities that enhance their practical skills and employability. Graduates of the program are well-prepared to enter a competitive job market, with prospective roles including but not limited to Data Scientist, Engineering Manager, Research Scientist, and Computational Engineer. The average base salary for graduates reflects the strong demand for their skill set, with a median base salary of €55,000 annually.

The success stories of alumni from the Master of Science in Computational Engineering illustrate the effectiveness of the program in launching fruitful careers. Many alumni have gone on to achieve significant accomplishments, securing positions in leading technology firms, research institutions, and even starting their own ventures. Their testimonials often highlight the transformative impact of the program on their professional lives, emphasizing the blend of rigorous training and practical experience they received during their studies.

Furthermore, the program is designed to foster a diverse and inclusive environment that welcomes students from all backgrounds. With an average class size of 25 and a student international diversity percentage of 16%, the program creates a rich cultural exchange that enhances the learning experience for everyone involved. This multicultural atmosphere prepares students for global careers and promotes networking opportunities that extend beyond the classroom.

Why Study Computational Engineering at Friedrich-Alexander-University Erlangen-Nürnberg

• A rigorous curriculum that combines theoretical knowledge with practical applications in Computational Science.
• Access to cutting-edge research facilities and resources, including high-performance computing labs.
• Opportunities to participate in research projects alongside esteemed faculty and industry professionals.
• Strong industry connections providing valuable internship experiences and job placements.
• A vibrant community with a diverse student body that enhances cultural understanding and collaboration.

Admission to the Master of Science in Computational Engineering at Friedrich-Alexander-University Erlangen-Nürnberg requires a strong academic background in engineering or a related field. Prospective students must submit their transcripts, a detailed resume, and an academic letter of recommendation as part of the application process. Proficiency in English is mandatory, with a minimum score of 5.5 in IELTS or 80 in TOEFL.

The program waives the GRE requirement, making it more accessible for international applicants. With a commitment to fostering a diverse learning environment, Friedrich-Alexander-University Erlangen-Nürnberg encourages students from all over the globe to apply and embark on a transformative educational journey into the world of computational engineering.