Scientific Computing

The Master's Degree in Scientific Computing at the University of Bayreuth focuses on providing students with advanced skills in mathematics and computational science. Throughout the four-semester program, students will engage with complex mathematical models and learn how to use sophisticated computational techniques to solve scientific and practical problems. The curriculum is structured into modules that encompass both theoretical knowledge and practical application, ensuring that graduates are well-prepared for the challenges of various industries.

This program is designed with a balance of core mathematical concepts and applied computational skills. Students will engage in numerous projects and assignments that enhance their problem-solving and analytical abilities. A practical or internship semester is often included in programs at universities of applied sciences, but at the University of Bayreuth, emphasis is placed on research and the development of computational tools that can be implemented in real-world scenarios. The final semester is typically dedicated to a thesis project, where students can delve deeply into a research topic of their choice, supported by faculty and industry partners.

Students in this program will acquire valuable skills including programming, data analysis, and algorithm development, which are applicable across a wide range of scientific disciplines and industries. The program suits individuals looking to pursue a career in research, data analysis, or any field that relies on extensive mathematical modeling and computation. The collaborative environment encourages teamwork and fosters connections with industry partners, particularly within Germany's strong Mittelstand sector.

As a student in Germany, individuals can benefit from the country’s 18-month post-study job-seeking permit, allowing ample time to secure employment in the relevant field. Additionally, the unique blend of research and practical exposure means graduates from this program are well-positioned to enter the workforce, contributing to the ongoing innovation and development within the mathematics and science sectors.

• Data Scientist
• Quantitative Analyst
• Research Scientist
• Software Engineer in Computational Applications
• Mathematical Modeler

Industries hiring include:

• Information Technology
• Finance
• Engineering
• Research and Development
• Telecommunications