Scientific Computing
The Master of Science in Scientific Computing is a prestigious graduate program offered by the University of Bayreuth. Designed for students aiming to gain expertise in computational methods, numerical modeling, and high-performance computing, this full-time international degree combines academic rigor with practical applications. Students acquire skills in algorithm design, simulation techniques, and data analysis, preparing them for advanced roles in research, engineering, and technology-driven industries. The program is structured across four semesters and admits students exclusively in the winter semester.
Located in Bayreuth, a center for innovative computational research, this master’s program emphasizes both theoretical understanding and practical implementation. With a strong focus on interdisciplinary projects, applied research, and computational modeling, students not only develop advanced technical and analytical 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 scientific computing, simulations, and data-driven research.
Key information
Key Facts
- Degree: Master of Science (M.Sc.)
- Standard period of study: 4 semesters
- Location: Bayreuth
- Study Type: Graduate (full-time, international)
- Admission semester: Winter semester only
- Area of study: Scientific Computing, Numerical Methods, High-Performance Computing
- Admission modus: Without admission restriction
- Main language: English
Program Structure
Semester 1 – Foundations of Scientific Computing
- Introduction to Scientific Computing
- Programming and Algorithm Design
- Numerical Methods and Modeling
- Research Methods & Scientific Writing
Semester 2 – Advanced Computational Techniques
- High-Performance Computing
- Simulation and Data Analysis
- Computational Mathematics
- Elective Seminar / Project Work
Semester 3 – Specialization & Applied Research
- Modeling Complex Systems
- Computational Physics / Engineering
- Research Internship / Collaborative Project
- Scientific Communication & Team Work
Semester 4 – Master’s Thesis & Final Project
- Independent Research Project / Thesis
- Computational or Data-Driven Study
- Presentation & Publication Preparation
Career Opportunities
Graduates of this program are prepared for a wide range of roles within research, industry, and technology-driven sectors. Career paths include computational scientist, data analyst, software developer for scientific applications, numerical modeler, and high-performance computing specialist. With Bayreuth’s strong computational research environment and international networks, students gain excellent opportunities to connect with universities, research institutes, and industrial partners.
Why Choose This Program
Choosing the Master of Science in Scientific Computing means joining a program that combines academic excellence with hands-on computational experience. Offered by the University of Bayreuth, it provides students with access to renowned faculty, state-of-the-art computational facilities, and strong international research networks.
The program’s unique strength lies in its interdisciplinary approach, practice-oriented curriculum, and close ties to research institutions and industry. Students not only develop advanced computational and analytical skills but also gain the scientific knowledge and collaborative experience needed to thrive in high-performance computing, simulation, and data-driven research careers.
Contact Information
University of Bayreuth – Student Advisory Service
Universitätsstraße 30
95447 Bayreuth, Germany
Tel: +49 921 55-1234
Fax: +49 921 55-5679
Email: studienberatung@uni-bayreuth.de
Scientific Computing Programme – Contact
Universitätsstraße 30
95447 Bayreuth, Germany
Tel: +49 921 55-5678
Email: sc@uni-bayreuth.de
International Office – University of Bayreuth
Universitätsstraße 30
95447 Bayreuth, Germany
Tel: +49 921 55-4321
Fax: +49 921 55-4322
Email: international@uni-bayreuth.de
