Explore how machine learning can help interpret medical signals and images. This English-taught course brings data methods and bioengineering together around health research.
Experiența de învățare
Core work covers biosignals, machine learning and statistical signal processing. Electives extend into medical imaging and health applications, alongside research-skills training and a nine-credit thesis.
Admissions and fit
Relevant computing, data, electrical, telecommunications and bioengineering degrees are accepted entry backgrounds. Preparatory courses depend on previous study. Consult the university’s English requirements.
The course may suit students interested in doctoral research or health-technology R&D. Compare the imaging and signal-processing options with your existing skills to see where you would like to deepen your knowledge.
Elementele esențiale ale cursului
- Instituție
- Universitatea Carlos III din Madrid (UC3M)
- Țara
- Spania
- Subiect
- Informatică și date
- Nivelul de studiu
- Gradul de master
- Predarea limbilor străine
- Engleză
- Formatul studiului
- În campus
- Campus
- Leganés, Madrid region, Spain
- Durată
- 1 an academic
- Credite
- 60 ECTS
- Taxă de școlarizare
- Official page displays €2,701.20 for EU students and €5,044.20 for non-EU students. The table does not explicitly identify the academic year. Confirm intake-specific prices; administrative, degree-issue and any bridging-course fees are additional.
- Ingnădire
- Applications shown as closed on 28 October 2026. Ask UC3M for the next intake dates before making plans.
Information reviewed: 2026-10-28
See the UC3M profile, our Guvernatorul Spaniei și tuition budgeting guide to plan the wider experience.