Designed for curious and innovative minds, our Master degrees offer a complete program, combining theory and
practice, to train you to become a major player in the field of digital health. Our teachers, composed of recognized
experts in the fields of artificial intelligence and health, will guide you throughout your academic journey,
providing you with the knowledge and tools to meet the most complex challenges of this rapidly expanding field.
Masters degrees from the partners
Master's Program in AI for Health — Aix-Marseille Université (AMU)
University: Aix-Marseille Université (AMU)
Program Code: AMU
Credits: 120 ECTS (2 years)
Language of Instruction: English
Start Date: Autumn 2023
Department: Faculty of Science, Aix-Marseille Université
Program Description
The Master's Program in AI for Health at Aix-Marseille Université provides interdisciplinary training in
artificial intelligence, data science, and their applications in healthcare. The program is designed to
equip students with technical expertise in AI-driven medical solutions, including disease modeling,
biomarker discovery, and health informatics.
Program Structure
Year 1 - Biomarkers and Artificial Intelligence
Semester 1 (30 ECTS)
Biostatistics in health - 3 ECTS
Practice in wet lab I - 3 ECTS
Molecular bases of immunotherapies - 3 ECTS
Introduction to data science - 6 ECTS (Online with SU)
Introduction to programming - 6 ECTS (Online with SU)
Basics for numerical science - 3 ECTS
Oral presentation and communication skills - 3 ECTS
Analysis of Articles - 3 ECTS
Semester 2 (30 ECTS)
Applied mathematics and algorithms for data analysis - 3 ECTS
Biological data: Basic concept - 3 ECTS
Natural language processing - 3 ECTS (Online with SU)
Artificial Intelligence II - 3 ECTS (Online with UNIPI)
Professional project - 3 ECTS
Ethics for modern AI in health I - 3 ECTS
Internship, report and defense - 6 ECTS
Biosis - 3 ECTS
Practice in wet lab II - 3 ECTS
Year 2 - Biomarkers & Artificial Intelligence
Semester 3 (30 ECTS)
Applied biostatistics - 3 ECTS
Ethics for modern AI in health II - 3 ECTS
State of the art bibliographic project - 3 ECTS
Machine Learning: application to single cell datasets - 6 ECTS
Advanced programming - 3 ECTS
Bioinformatics and mutational analysis (BAM) - 3 ECTS
Image analysis - Biomarker diagnostics - 3 ECTS
Open Science and Reproducible Science - 6 ECTS
Semester 4 (30 ECTS)
Internship and Master's Thesis - 30 ECTS
Admission Requirements
A Bachelor's degree of at least 180 ECTS or equivalent in computer science, biomedical engineering,
medicine, bioinformatics, or related disciplines. English proficiency required (English 6 or equivalent).
Contact Information
For further details, visit the program page: Aix-Marseille Université - AI for Health.
Master's Program in AI for Health — Università di Pisa (UNIPI)
University: Università di Pisa
Program Code: UNIPI
Credits: 120 ECTS (2 years)
Language of Instruction: English
Start Date: Autumn 2023
Department: Department of Computer Science and Biomedical Sciences
Program Description
The Master's Program in AI for Health at Università di Pisa provides students with comprehensive
training in artificial intelligence, data science, and biomedical applications. The curriculum
focuses on AI-driven healthcare solutions, covering diagnostics, predictive modelling,
and bioinformatics.
Program Structure
Year 1 - Core AI and Biomedical Sciences
Semester 1 (30 ECTS)
Artificial Intelligence I (Common Course) – 6 ECTS
Advanced Biochemistry (Common Course) – 6 ECTS
Probability and Biostatistics (Biology Track) – 6 ECTS
Bioinformatics and In Silico Models (Biology Track) – 12 ECTS
Biology of Cellular Systems (Engineering Track) – 6 ECTS
Genetics and Molecular Biology (Engineering Track) – 12 ECTS
Semester 2 (30 ECTS)
Artificial Intelligence II (Common Course) – 6 ECTS
Physio-pathology (Common Course) – 6 ECTS
Biotechnologies Applied to Sense Physiology (Common Course) – 6 ECTS
Smart Materials and Sensors (Biology Track) – 12 ECTS
Microbiology and Public Health (Engineering Track) – 12 ECTS
Year 2 - Advanced Specialization and Research
Semester 3 (30 ECTS)
Cell Signaling and Imaging Tools – 6 ECTS
Bioengineering and Experimental Models in Health and Disease – 6 ECTS
Omics: Biotechnology and AI for Health – 6 ECTS
Job Placement Activities – 3 ECTS
Focused Lab Training – 6 ECTS
Elective Courses – 3 ECTS
Semester 4 (30 ECTS)
Internship and Master's Thesis – 30 ECTS
Admission Requirements
A 180-ECTS Bachelor's degree in a relevant field (computer science, biomedical engineering,
medicine, bioinformatics, or related disciplines). English proficiency required.
Contact Information
For further details, visit: Università di Pisa – AI for Health.
Master's Program in AI for Health — Stockholm University (SU)
University: Stockholm University
Program Code: SAIHO
Credits: 120 ECTS (2 years)
Language of Instruction: English
Start Date: Autumn 2023
Department: Department of Computer and Systems Sciences
Program Description
The Master's Program in AI for Health at Stockholm University provides advanced training
in AI methodologies and their application to healthcare. Students develop expertise in data
science, biomedical modelling, and cutting-edge AI techniques for medical diagnostics,
treatment optimization, and disease prevention.
Program Structure
Year 1 – Fundamentals of AI and Health
Semester 1 (30 ECTS)
Foundations of Data Science – 7.5 ECTS
Introduction to Programming – 7.5 ECTS
Health and the Emergence of Diseases – 7.5 ECTS
Introduction to Information Security – 7.5 ECTS
Semester 2 (30 ECTS)
Data Mining – 7.5 ECTS
Biological Foundations of Health and Disease – 7.5 ECTS
Natural Language Processing (NLP) – 7.5 ECTS
Machine Learning – 7.5 ECTS
Year 2 – Advanced AI for Health Applications
Semester 3 (30 ECTS)
AI for Business Architecture – 7.5 ECTS
Research Topics in Data Science – 7.5 ECTS
Explainable AI – 7.5 ECTS
Reinforcement Learning – 7.5 ECTS
Semester 4 (30 ECTS)
Independent Research Project in AI for Health (Master’s Thesis) – 30 ECTS
Admission Requirements
A Bachelor's degree of at least 180 ECTS in a relevant discipline (computer science, medicine,
bioinformatics, biomedical sciences, or engineering). English proficiency required.
Contact Information
For further details, visit: Stockholm University – AI for Health.
AMU–University of Pisa Double Degree
The AMU–University of Pisa double degree offers an exceptional European academic pathway
at the intersection of
biotechnology, biomarkers, and artificial intelligence for health. This joint program provides a comprehensive
scientific foundation paired with advanced methodological training, preparing students for the rapidly evolving
field of AI-driven healthcare.
Students complete their first year either at Aix-Marseille Université (AMU) or at the
University of Pisa (UNIPI),
and undertake their second year at the partner institution. This structure promotes full immersion in two academic
cultures, fostering adaptability, scientific rigor, and international awareness.
Why Choose This Double Degree?
Two renowned European universities
A rigorous academic environment supported by recognized excellence in health sciences,
biotechnology, and artificial intelligence.
A fully international experience
Exposure to diverse scientific approaches, teaching styles, and cultural contexts.
Access to leading research laboratories
Students work alongside researchers in cutting-edge facilities, enabling high-impact thesis
projects and early research involvement.
Enhanced career opportunities
Dual exposure to French and Italian academic systems broadens employability in industry, academia,
and clinical research.
A multicultural professional network
Collaboration with peers and experts from across Europe strengthens long-term professional
connections.
Final Diplomas
Upon successful completion of the double degree (120 ECTS), students are awarded two
fully
recognized European Master’s diplomas:
Master’s in Health and Biology (Specialization in AI and Biomarkers) – Aix-Marseille Université
Laurea Magistrale LM-9 in Biotechnologies and Applied AI for Health – University of Pisa
Both degrees are accredited as research Master’s qualifications, granting eligibility for
admission into Ph.D.
programs throughout Europe.
To obtain the double degree, students are required to complete a mobility period
during the second year. This mobility is carried out through the Erasmus programme, ensuring a structured and fully
recognised academic exchange between partner universities.
Key Learning Objectives
By completing the program, students will:
Acquire expertise in artificial intelligence and its applications in health and biomedical sciences.
Develop proficiency in bioinformatics, computational biology, and machine learning for healthcare.
Gain hands-on experience through lab training and internships in industry and research institutions.
Understand ethical, regulatory, and legal aspects of AI applications in medicine.
Career Prospects
Graduates of the program will be well-prepared for careers in:
