Turin, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
Oct 2025
TUITION FEES
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STUDY FORMAT
On-Campus
* tuition fee varies depending on your country's GDP
Introduction
The Artificial Intelligence for Biomedicine and Healthcare program aims to create a professional figure capable of applying digital innovation to the biomedical and healthcare sector. After graduating, they will have a transversal interdisciplinary skillset that joins the biomedical field together with practical experience and solid skills in artificial intelligence and data science.
The course takes place in 2-year time, and it is divided into 120 credits necessary for the achievement of the master's degree.
Courses covering the main fields of biomedicine, data management, and data analysis are foreseen, as well as integrated courses aimed at deepening the practical and multidisciplinary aspects of these areas. In addition, ethical, legal, and economic aspects concerning the analysis and management of biomedical data in public and private contexts will be addressed.
Students will accumulate experience in the laboratory and, together with the internship linked to the thesis degree that can be done in public or private companies, in Italy or abroad, will develop professionalism and technical skills that will be useful in any working reality and in research.
The graduate will represent a professional bridging figure between two different realities, making the communication between biomedicine and data analysis more effective, in a world where too often these two disciplines speak different languages, reciprocally little understandable.
Professional Profile
Graduates in Artificial Intelligence for Biomedicine and Healthcare will work closely with a team of doctors, research scientists, or public health managers to design, develop, and apply techniques based on artificial intelligence to exploit and interpret data for clinical prediction and research. They will be ideal team leaders, able to coordinate work between several professional figures with diversified skills, as they will be competent in both the analytical and the biomedical areas.
The skills associated with their professional profile are:
- the ability to identify, customise and critically evaluate the analytical tools already available for their application in the hospital, academic, and industrial biomedical and public health fields,
- the ability to develop customised tools for medical, scientific, health, and management issues,
- the ability to use, interpret, and contextualise information from a large amount of data of biomedical, scientific, health, and management relevance,
- the ability to integrate different knowledge and skills, with leadership, independent learning and critical judgement, communication, and interpersonal skills.
Gallery
Ideal Students
The LM-91 Artificial Intelligence for Biomedicine and Healthcare program will train a professional figure who possesses:
- a significant knowledge of the basic aspects of biomedicine, from the biological aspects (biochemical, molecular, cellular, histological and genetics), up to the clinical aspects (internal medicine, radiology, surgery);
- a solid knowledge and ability to apply the basic techniques underlying artificial intelligence, such as mathematical and computational methods, machine learning, deep learning, data management and representation, and mathematical modelling;
- a broad and advanced knowledge of artificial intelligence tools, techniques, and data science related to biomedicine, especially focusing on:
- robotic surgery,
- biological and diagnostic imaging,
- pharmaco-omics,
- epidemiology,
- robotic surgery,
- biological and diagnostic imaging,
- pharmaco-omics,
- epidemiology,
- expertise on ethical, legal, managerial, and organisational aspects associated with the production, processing, and interpretation of biomedical data;
- The capability of integrating different knowledge and skills in the multidisciplinary biomedical and informatics fields.
Admissions
Scholarships and Funding
University corridors for refugees - UNICORE 7.0 - A.Y. 2025-2026
For the A.Y. in 2025-2026, the University of Turin joins for the fourth time the UNICORE project.
The aim of the UNICORE 7.0 project is to promote the right to higher education for refugees, through the creation of university corridors from Ethiopia, India, Kenya, Malawi, Mozambique, Namibia, Niger, Nigeria, South Africa, Tanzania, Uganda, Zambia, Zimbabwe to Italy.
UNICORE 7.0 is supported by a consortium of international, national and local partners, including the United Nations High Commissioner for Refugees (UNHCR), the Italian Ministry of Foreign Affairs and International Cooperation (MAECI), the University of Turin and other Italian universities.
The University of Turin funds 3 two-year scholarships including monetary (7,000 euro per year) and service benefits to international students who are refugees in Ethiopia, India, Kenya, Malawi, Mozambique, Namibia, Niger, Nigeria, South Africa, Tanzania, Uganda, Zambia, Zimbabwe and interested in enrolling for the a.y. 2025-2026 in the first year of one of the postgraduate degree programs without a restricted number of places and held in English.
38 two-year scholarships to international students "Talents 4 UniTo"
For the first time, the University of Turin funds 38 two-year scholarships to international students "Talents 4 UniTo" interested in enrolling in the first year of a postgraduate degree program without a restricted number of places, held in English, for the A.Y. 2025-2026.
Total amount of the scholarship value: 20,000 euros (gross amount).
Scholarships awarded by EDISU Piemonte
EDISU Piemonte, the Regional Agency for the Right to Education of Piedmont, awards scholarships and other grants to students who are enrolled in a Piedmontese University and meet the economic and merit requirements specified in the competition notices.
Scholarships awarded by the Italian Ministry of Foreign Affairs and International Cooperation (MAECI)
The Italian Ministry of Foreign Affairs and International Cooperation (MAECI) awards scholarships to foreign citizens not residing in Italy and Italian citizens living abroad (IRE) in order to foster international cultural, scientific and technological cooperation, to promote Italian language and culture and to support Italy’s economic system in the world.
Scholarships are offered to carry out study, training and research projects in Italian Higher Education Institutes.
Please regularly check the page Study in Italy for updates on the call for applications.
National and international scholarship programs
The University of Turin welcomes international undergraduate and postgraduate students, PhD students, researchers, teachers and academics in mobility within the framework of any national or international scholarship programs.
Currently available opportunities:
- China Scholarship Council –CSC (Chinese students/researchers)
Curriculum
First Year
- Biochemistry, cellular and molecular biology
- Complex networks
- General Medicine and Clinical Sciences
- Machine learning
- Neural Networks
- Structural biochemistry, or the molecules of life
- Introduction to cellular and molecular biology
- Cell Signalling, metabolism and introduction to immunology
- Modelling and quantitative approaches to life science
- Clinical biochemistry and molecular biology
- Basic histology and human embryology
- General pathology of human tissues
- Organ disease pathology
- Imaging techniques in physio-pathology and comparative microscopy
- Basic and medical genetics
- Organ system 1. Cardiovascular and endocrine system diseases
- Organ system 2. Respiratory system diseases
- Organ system 3. Digestive system diseases
- Organ system 4. Urinary and Reproductive Systems Diseases
- Organ system 5. Nervous system diseases
- Microbiology, infections and "One health"
- Oncology
- Surgery
- Programming for Data Science
- Tissue pathophysiology and genetics
Second Year
- Biological and diagnostic imaging and image analysis
- Innovative Technologies in Medicine and Surgery
- Multi-omics and Data Science for Precision Medicine
- Robotics in healthcare
- Telemedicine and remote patient care
- "Immersive" technology applications
- AI-driven Radiation Oncology
- Precision medicine and translational sciences in oncology
- Tissue regeneration, biomaterials and nanotechnologies
- Genomics, transcriptomics, and phenotypic screenings
- Proteomics
- Data Science and AI approaches applied to multi-omics
- Machine learning for biomedical image processing
- Biochemical and physical principles of cellular imaging
- Fundamentals of diagnostic imaging and clinical applications
- Artificial intelligence applied to diagnostic imaging and reporting systems
- Introduction to Computational Modelling and Simulations in Life Sciences
- Cancer as a model system for population dynamics
- Supervised learning applications to healthcare
- Epidemiology
- Enterprise systems and governance logics of healthcare facilities
- Philosophy of Medicine and AI
- EU Fundamental Rights, Health and AI
- Systems Biomedicine Approaches to Epidemiology and Public Health
- The Impact of Economics, Law and Humanities in a Data-Driven World
Program Outcome
The Dublin descriptors for LM-91 Artificial Intelligence for Biomedicine and Health care, outcomes fulfilled by all the graduates, can be described according to two main principles: knowledge and understanding, and the ability to apply knowledge and understanding.
Knowledge and understanding:
The master's graduate will have acquired knowledge and understanding of notions and languages typical of the biomedical, computer science, statistical, ethical, legal, managerial, and organisational fields, and in particular:
- the biochemical and molecular bases of biological macromolecules, the main metabolic processes, and organ-specific aspects of human biochemistry and molecular biology in the context of health sciences,
- the structure and functioning of the cell, its integration into a tissue, and its physiological and pathological aspects,
- the fundamental genetic mechanisms underlying the functioning of the human body and the onset of mono- and multifactorial diseases,
- basic medicine (anatomy, pathological anatomy, physiology and pathophysiology, medical genetics), clinical medicine (internal medicine, medical oncology) and surgery (general and specialist surgery such as urology),
- the main mathematical and computational modelling approaches applicable in biological and clinical fields,
- the main methods of acquisition and use of images in the biological and medical fields, and of the main traditional analysis techniques, based on machine learning or deep learning,
- the biomedical and modelling aspects necessary for the description of population dynamics in an epidemiological or genetic view,
- modern omics technologies and related data analysis procedures,
- recent technological developments in medicine and surgery with reference to approaches that take advantage of data-driven or artificial intelligence-based algorithms,
- tools and techniques of artificial intelligence and information systems of strategic importance in biomedicine and healthcare,
- the ethical, legal, managerial, and organisational aspects associated with the production, storage, processing, interpretation, and management of biomedical data.
Program Tuition Fee
Career Opportunities
- Graduates will be able to work as digital innovators in biomedicine in private or public research laboratories, within hospitals, clinical research laboratories, or public health companies.
- They may also exploit their managerial skills within organisations in the public or private health sector for the administration of:
- therapeutic and diagnostic procedures
- health and epidemiological data that use omics data or big data
- technological innovation processes centred on data in the biomedical field.
- therapeutic and diagnostic procedures
- health and epidemiological data that use omics data or big data
- technological innovation processes centred on data in the biomedical field.
Finally, they will be able to undertake an entrepreneurial career, for example, in the development of informatics tools for diagnosis and prognosis or for the management of large-scale health data.