Contents
The Specialization Diploma studies are organized into 3 compulsory subjects of 10 ECTS each and the final diploma project. Data analysis has been used intensively and extensively by many organizations. In life sciences, the analysis of clinical data is becoming increasingly popular, and one could even say increasingly essential.
The application of methodologies based on AI and Big Data can greatly benefit all actors involved in the health 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 care services at a lower cost.
The enormous amount of data generated by healthcare is too complex to be processed and analyzed with 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.
| 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 |
Final project |
5 ECTS |
Obligatory |
Specific skills
KNOWLEDGE:
KT01: Recognize the technologies for generating health data.
KT02: Identify AI-based environments and the models used.
KT03: Identify specific technologies and concepts in the field of big data.
KT04: Demonstrate knowledge in AI and Big Data environments/applications/models in Health.
SKILLS:
ST01: Analyze data transformations and processing in the field of Health Sciences.
ST02: Relate all aspects linked to data in the field of Health Sciences.
ST03: Analyze AI methodologies applied to medical data.
ST04: Use environments and tools for managing big data.
ST05: Determine efficient data management environments and structures.
ST06: Experiment with AI and Big Data tools and models.
COMPETENCIES:
CT01: Evaluate different aspects related to data in the field of Health Sciences.
CT02: Design environments for medical data processing.
CT03: Validate technological tools for big data management.
CT04: Design big data processing code.
CT05: Build AI and Big Data-based processing environments.
Title obtained
Specialisation Diploma Artificial Intelligence and Big Data in Health