Course Overview
The Master's Programme in Computational Mechanics (specializations in Solids and Fluids) offers an interdisciplinary education combining engineering principles and advanced computational methods. Students will acquire expertise in numerical modelling, simulation techniques, and the application of computational tools to solve complex engineering problems in solids, fluids, and interdisciplinary fields. The program emphasizes theoretical foundations and practical applications, preparing graduates for industry, research, and academic careers.
Program Profile
This program provides comprehensive training in computational mechanics, covering topics such as finite element methods, computational fluid dynamics, and structural analysis. Students will engage in hands-on projects, collaborative research, and exposure to industry practices. The curriculum is designed to develop skills in modelling, formulation, analysis, and implementation of simulation tools, fostering an innovative and entrepreneurial mindset essential for modern engineering challenges.
Students will acquire:
Expertise and Skills
Graduates of this program will develop:
Professional Opportunities
Graduates are uniquely positioned to serve as agents of change, driving technological and industrial advancements and being well-prepared for various roles in aerospace, automotive and civil engineering, advanced manufacturing, energy, bioengineering, and materials science sectors.
Potential career paths include:
The program also lays a solid foundation for those pursuing doctoral studies in related fields.
Why Study Computational Mechanics?
Computational Mechanics is a pivotal field in modern engineering, enabling the analysis and design of complex systems that are beyond the reach of traditional methods. By mastering computational techniques, graduates can innovate and optimize products and processes across various industries. Studying this discipline equips you with the skills to address contemporary engineering challenges, drive technological advancements, and contribute to developing efficient and sustainable solutions.
Additional Note
The Master’s Thesis serves as the program's culminating work, integrating knowledge from coursework into developing an original research project. This capstone enables students to apply advanced computational models to real-world challenges, solidifying their technical and analytical skills while contributing to the field’s ongoing development.
Official Code: | M543 |
Director: | José Machado |
Acronym: | MMC |
Academic Degree: | Master |
Type of course/cycle of study: | Masters Degree |
Start: | 2011/2012 |
Duration: | 2 Years |