Contents
Data analysis has been intensively and extensively used by many organizations. In the life sciences, clinical data analysis is becoming increasingly popular, and it could even be said that it is becoming essential.
The application of methodologies based on AI and Big Data can greatly benefit all the stakeholders involved in the healthcare sector. For example, data analysis can help healthcare organizations in management decision-making, assist doctors in identifying effective treatments and best practices, and enable patients to receive better healthcare services at a lower cost.
The enormous amount of data generated by healthcare is too complex to be processed and analyzed using traditional methods. Artificial intelligence applied to data analysis provides the methodology and technology to transform these vast amounts of data into useful information for decision-making.
Masters degree studies are organized into 5 compulsory courses, each worth 10 ECTS, and a Master's Final Project (10 ECTS).
| Subject | Credits | Type |
|---|---|---|
Artificial Intelligence in Health |
10 ECTS |
Obligatory |
Health Data Analysis |
10 ECTS |
Obligatory |
Big Data Environments for Data Analysis |
10 ECTS |
Obligatory |
Data Storage and Visualization |
10 ECTS |
Obligatory |
Related programmes
Graduate Diploma in Artificial Intelligence and Big Data in Health
Course in Artificial Intelligence Iin Health
Course in Big Data Environment For Data Analysis
Course in Health Data Acquisition, Filtering And Security
Course in Health Data Analysis
Course in Health Data Storage And Viewing
Title obtained
Lifelong Learning Master's Degree Artificial Intelligence And Big Data in Health