University of Bayreuth

Overview

The Master of Science in Scientific Computing at the University of Bayreuth equips students with the skills to design, analyze, and implement effective numerical methods for intricate challenges in science and engineering. This program emphasizes modeling real-world systems, optimizing computational processes, and executing simulations on advanced computing platforms.

• Degree: Master of Science (MSc)
• Programme focus: Numerical methods, modeling & simulation, high-performance computing, and mathematical analysis
• Delivery: On-campus (Germany)
• Credits: Typically 120 ECTS
• Duration: Typically 24 months
• Language of instruction: English (B2 level required)
• Tuition fees: Please refer to the official University of Bayreuth website for the latest fee information.
• Application & start dates: For details, visit the programme page on the university's website.

What you'll study

The MSc programme encompasses advanced coursework in numerical mathematics and computing, integrating theoretical concepts with practical simulation applications. It incorporates research-oriented elements to prepare students for potential doctoral studies.

• Numerical Methods for Differential Equations
• Applied Functional Analysis
• High-Performance Computing
• Complexity Reduction
• Advanced Topics in Numerical Mathematics
• Modeling and Simulation

Research and applied learning components typically include:

• Seminars focused on modeling and simulation techniques
• Project work applying numerical methods to real-world computational problems
• Preparation for research placements and pathways to doctoral studies

Capstone / thesis: Completion of a master’s thesis is usually required, with specifics subject to the university's examination regulations.

Entry requirements

A bachelor’s degree (or equivalent) in mathematics, computer science, natural sciences, or engineering is required for admission. Additionally, candidates must meet the university's academic standards, typically achieving a minimum examination grade.

Career prospects

Graduates of the MSc in Scientific Computing can pursue various career paths in academia, industry, and research institutions. Opportunities may include roles in data analysis, computational modeling, software development, and research positions, where they can apply their expertise in numerical methods and high-performance computing to solve complex scientific and engineering challenges.