Computational Biomedical Engineering at Pompeu Fabra University applies advanced computing to solve real healthcare challenges, from data analysis to digital models of the human body. You will learn how to build and validate computational methods that support diagnosis, treatment planning, and biomedical innovation.
The Master's programme in Computational Biomedical Engineering at Pompeu Fabra University leverages advanced computing techniques to address pressing healthcare challenges. This innovative course encompasses data analysis, the development of digital models of the human body, and the design of computational methods to enhance diagnosis, treatment planning, and biomedical advancements.
The programme blends essential training in computational and biomedical fields with a strong emphasis on research-oriented learning. The curriculum is structured to guide students from foundational data and methods to practical applications in digital health and advanced research practices.
Indicative course areas include:
Learning outcomes across the programme:
Capstone / final work: Details regarding a master's thesis or final project format should be confirmed with the university.
Specific requirements regarding GRE, GMAT, or GPA scores for admission into this programme have not been disclosed. It is recommended to check with the university for the most accurate information.
Graduates of the Computational Biomedical Engineering programme will be well-equipped to pursue diverse career paths within the healthcare and technology sectors. Opportunities may include roles in biomedical research, healthcare data analysis, clinical engineering, and the development of innovative health technologies. The skills acquired will enable graduates to contribute significantly to the fields of healthcare and biomedical innovation.
Shortlist scholarships and plan your application — free guidance from our advisors.