Study Plan - Bocconi University

The study plan has been structured to merge disciplinary fields from data science with disciplinary fields from the medical-biological field. This will allow advanced training in statistics, computer programming, machine learning, and artificial intelligence, to be combined with knowledge of biology, genetics, ethics, and regulation within the healthcare sector.

The first year is mainly focused on providing the necessary knowledge in advanced statistics, programming , machine learning and artificial intelligence, and it is mainly based at Bocconi University. The final part of the first year, and the whole second year, complements training mainly within Humanitas University, through an immersive, hands-on learning experience which includes the delivery of compulsory integrated teaching, elective exams, seminars, hands-on experiences and independent research.

Students will also have the opportunity to learn during international experiences as part of the development of their thesis and internship.

The first year of the program is divided into four bimesters.

1^st bimester – at Bocconi

Foundationalcourses in Advanced Statistics for the Health Sciences, and Advanced Computer Programming.

2^nd bimester – at Bocconi

Foundational courses in Artificial Intelligence and Machine Learning, plus a specific focus on the privacy, ethical and regulatory issues associated with healthcare.

3^rd bimester – at Bocconi

This bimester builds upon the core technical knowledge acquired in the first two bimesters, with additional training in artificial intelligence and on the functioning of data systems in healthcare; students will also have the opportunity to choose among different elective courses, including the topics of causal inference, natural language processing, and computer modelling.

4^th bimester – at Humanitas

Focus on biological and clinical knowledge.

The first year takes place mainly at Bocconi, with one final bimester held at Humanitas. This allows students to gain fundamental and core basic knowledge, in both data science and the medical-biological field.

Study Plan (Year 1)

Advanced statistics for health sciences (@ Bocconi)	8
Advanced computer programming (@ Bocconi)	9
Artificial Intelligence - module 1 (@ Bocconi)	6
Privacy, ethics and regulations in the application of AI - seminar (@ Bocconi)	2
Machine Learning (@ Bocconi)	8
Artificial Intelligence - module 2 (@ Bocconi)	6
Data Systems in healthcare (@ Bocconi)	6
1 elective (@ Bocconi) out of Causal inference Natural language processing Dynamic modelling for complex systems	6
Biology and genetics (@ Humanitas)	4
Data Science for Clinics (@ Humanitas)	8
Clinical Epidemiology (@ Humanitas)	10

AT HUMANITAS UNIVERSITY

The whole second year takes place at Humanitas University, where students will take additional courses and will be exposed to problems within the reality of a large teaching hospital, working on biological and clinical data. Courses, seminars and labs focus on the application of advanced technologies in the clinical and biological sciences.

The second year allows students to personalize their path through hands-on learning experiences, such as electives, an internship and the thesis.

Study Plan (Year 2)

Next generation sequencing and bioinformatics (@ Humanitas)	7
Applications of artificial intelligence in health sciences (@ Humanitas)	10
1 elective (@ Humanitas) out of AI and visualisation-navigation techniques in surgery and endoscopy AI applied to imaging (radiology and human pathology) Clinical decision system and AI	6
Guidelines for quality assessment and reporting in AI publication - seminar (@ Humanitas)	2
Foreign language (1st sem) (@ Humanitas)	2
Internship	6
Thesis	14
Total credit points	120

Please note that the program structure is subject to change.

Learning Objectives