Career Opportunities
This Master’s Degree Course aims to train professional figures with an understanding of the healthcare sector and deep knowledge of the theoretical and practical knowledge required to implement AI and machine learning methods in that sector.
The role of Data Scientist in Health Sciences
Graduates in this role will effectively extract, analyze, model and interpret health data through the application of state-of-the-art analytical techniques derived from statistics, machine learning and artificial intelligence, to obtain answers useful for scientific research. They will also interpret clinical-diagnostic-therapeutic pathways, understand the demands of clinicians and basic researchers, as well as identify software tools needed for clinical and biological data processing and analysis. Lastly, they will design and conduct scientific studies in the field of medicine and health sciences by collaborating effectively with health professionals and researchers from different disciplines.
They may be employed by a variety of employers, including: research institutions, pharmaceutical and biotechnology industries, health technology companies, public bodies and government institutions, hospitals and healthcare organizations, startups in the healthcare industry, consulting and professional services and research institutions.
Graduates of the program will be able to:
- Design and implement a complete process of statistical analysis of health data, from acquisition to extraction of the information of interest, with a special focus on methods and algorithms from Machine Learning and Artificial Intelligence
- Build predictive models from data
- Design and develop software to perform the analysis and interpret the results of health data analysis
- Represent and communicate the results from analyses
- Describe and implement procedures for the protection of data quality, privacy and intellectual property