Data Analytics and Artificial Intelligence in Health Sciences

The 2-year Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS) is an exciting new learning opportunity. It is designed to train a professional figure with an understanding of the healthcare sector and the theoretical and practical knowledge required to implement AI and Machine Learning methods.
Entirely taught in English, the course stems from the large medical, biological and healthcare experience in medicine provided by Humanitas University and its joint Hospital networks, and the large experience in AI, data science and data analytics from Bocconi University.
The partnership between Humanitas University and Bocconi University will guarantee training in medical biology, statistics, mathematics and computer science in the pursuit of improved care and quality of life for patients.
New technologies based on Artificial Intelligence and Machine Learning are transforming the fields of medicine and life sciences. When considering the latest advancements in information technology applied to health sciences, biotechnology and medical research – such as the development in “omics” data, imaging, electronic health records and digitalized biology applications – the massive volume of data that these new technologies generate every day can be surprising. However, these data mines are often underutilized due to the challenges associated with their analysis, leading to the emerging need for experts who can bridge the gap between data science and health sciences, while taking advantage of innovations, such as partial automation of healthcare processes and the development of new patient-oriented tools and services. To address these unmet demands from hospitals, patients, research centers and companies, Bocconi University and Humanitas University have joined forces to develop a new Master of Science in Data Analytics and Artificial Intelligence in Health Sciences.
Thanks to the Bocconi-Humanitas partnership, the program provides multidisciplinary training in statistics, mathematics, computer science, and medicine-biology. The ultimate goal is to improve patient care and quality of life, advance scientific research, harness the value of data within the health sciences and meet the challenges presented when analyzing such data.
The two-year MSc, in English, specifically focuses on the intersection between data science, medicine and life sciences, aiming to develop professionals with advanced knowledge in data analytics, machine learning, artificial intelligence and all the knowledge necessary to apply these advanced skills within hospitals, research laboratories, companies and regulatory bodies. Graduates are expected to possess the analytical skills valuable in health sciences. They will master data analysis combined with an understanding of the peculiarities of healthcare data, national healthcare systems, and the ethical and regulatory implication of collaboration between academia and industry.
In recent years, AI and machine learning have made enormous advances in the field of medicine, opening up new perspectives and opportunities to improve the diagnosis and treatment of diseases. ​These technologies are expected to bring further revolutionary advances to this field, while also allowing full advantage to be taken of telemedicine technology and networks in an increasingly integrated pathway between hospital and community.
The Joint Bocconi-Humanitas MSc in Data Analytics and Artificial Intelligence in Health Sciences aims to offer an integrated and innovative perspective in these areas, in line with the unique needs of the market that increasingly demands multidisciplinary skills.
Students who choose this new joint program will have the chance to learn from outstanding faculty in Bocconi’s Departments of Computing Sciences and Decision Sciences, as well as researchers at Humanitas Research Hospital. These experienced professors will share their expertise and knowledge during the program’s cutting-edge coursework.
The MSc will train comprehensive professionals who are ready to be employed by health technology companies, hospitals and healthcare organizations, as well as research institutions, pharmaceutical and biotechnology industries, health analytics companies, and regulatory bodies. After graduation, they will be able to apply their knowledge to make a positive impact on society, with a specific focus on health.