Learning Objectives

The MSc in Data Analytics and Artificial Intelligence in Health Sciences aims to provide students with theoretical and practical knowledge to be able to understand and implement AI and machine learning methods, while taking into account the complexity of healthcare data, within hospital and territorial enterprises, as well as clinical research institutes.

In particular, the program aims to provide:

A solid understanding of statistical inference and modeling, and of machine learning principles and methods.
Deep knowledge of programming, algorithms, databases, architecture and programming for small and large datasets in health.
In-depth training in the area of new artificial intelligence techniques as applied to predictive and diagnostic models.
In-depth training in other relevant, specific areas such as natural language processing, causal inference or computer modeling.
Knowledge of the biological-health area with reference to biological (biology, genetics) and medical-health disciplines (human anatomy, physiology and pathology, aspects of clinical medicine, diagnostic imaging and radiology).
Knowledge in epidemiology for the study of disease patterns, clinical data analysis, and in the impact of AI and machine learning on public health and specific patient populations and individuals.
Knowledge of the healthcare system and the functioning of healthcare settings, as well as the associated healthcare databases.
Problem-solving skills combined with the analytical skills necessary to identify the information technology and statistical components useful in solving problems peculiar to the medical-healthcare area with a focus on specific purposes in the patient-care setting.
Knowledge of legal/ethic issues related to the management and protection of privacy and sensitive data in order to understand limits and conditions imposed by the law.