Nowadays, the intersection of these two areas stands out for its enormous potential in both research and application: the role of machine learning, signal processing, data science, and artificial intelligence is becoming crucial in almost any field and particularly in health engineering applications. Significantly, both public and private investing in research related to these areas has an enormous social and economic impact. In fact, companies such as Philips, Siemens, Microsoft, IBM, Amazon, Google or Apple, to name just a few, are demanding this research profile.
This Master in Information Health Engineering at Carlos III University of Madrid combines the disciplines of information and health engineering with the goal of training researchers to become experts in signal and data analysis tools, with special emphasis on their use on medical signals and images. The training provided by the master's degree will have a strong theoretical foundation, allowing future graduates to apply their knowledge to design innovative methods of information processing and providing the basis for subsequent doctoral studies and/or R&D activities in industry.
- Biosignals & Bioimages
- Machine Learning
- Statistical Signal Processing
- Deep Learning
- Biomedical Image Processing
- Data Modelling
- Data intensive computing
- 12 months
Start dates & application deadlines
- Apply before
DisciplinesBio & Biomedical Engineering Health Sciences Health Informatics View 11 other Masters in Bio & Biomedical Engineering in Spain
We are not aware of any academic requirements for this programme.
- To access this master's degree, it is necessary to hold a degree in Telecommunications Engineering, Data Engineering and Data Science, Computer Science and Computer Engineering, Electrical Engineering, Biomedical Engineering or Bioengineering
International5044 EUR/yearTuition FeeBased on the tuition of 5044 EUR per year during 12 months.
EU/EEA2701 EUR/yearTuition FeeBased on the tuition of 2701 EUR per year during 12 months.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.