About us

We are an EU-funded consortium established to design and deliver innovative learning programs for European students and professionals in AI and health, a key field of innovation for the future. Our double diploma degree program, entirely delivered in English, equips you with the essential skills and knowledge to thrive in this rapidly evolving landscape.

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70+ Conferences
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4 Universities
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Biomarkers
Omics
Health informatics
For students

Our Master's

Designed for curious and innovative minds, our Master's degrees offer a complete program, combining theory and practice, to train you to become a major player in the field of digital health.

We offer three European Master’s programs in Pisa, Stockholm, and Marseille, as well as an AMU–University of Pisa double degree in biotechnology, biomarkers, and AI for health, providing rigorous scientific training and an international academic experience tailored to the future of AI-driven healthcare.

3
Prestigious Universities
4
Different Master’s options
120
ECTS each Master
2
Year Training Program
AMU campus

Quality First

All Master’s programs are officially recognized European degrees.

Unipi Campus
SU Campus
Interdisciplinary Expertise

The programs bridge the gap between Artificial Intelligence and Health Sciences, combining theoretical knowledge with hands-on practice in biotechnology and data analysis.

International Double Degree

Students can obtain two recognized European diplomas through the AMU–Pisa partnership, gaining exposure to different academic cultures and a global professional network via Erasmus mobility.

Research & Career Readiness

The curriculum is designed by experts to prepare students for high-impact roles in medical diagnostics, pharmaceuticals, and PhD programs across Europe.

PROGRAM INFORMATION

PROGRAM INFORMATION

Explore the different master’s programs and start your journey

Biomarkers and AI

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.

  • Faculty of Science, Aix-Marseille Université
  • Language: English
    • Program Structure

    Semester 1 (30 ECTS)
    • • Biostatistics in health - 3 ECTS
    • • Practice in wet lab I - 3 ECTS
    • • Molecular bases of immunotherapies - 3 ECTS
    • • Intro to Data Science - 6 ECTS (Online SU)
    • • Intro to Programming - 6 ECTS (Online SU)
    • • Basics for numerical science - 3 ECTS
    • • Oral presentation skills - 3 ECTS
    • • Analysis of Articles - 3 ECTS
    Semester 2 (30 ECTS)
    • • Applied math & algorithms - 3 ECTS
    • • Biological data: Basic concepts - 3 ECTS
    • • NLP - 3 ECTS (Online SU)
    • • AI II - 3 ECTS (Online UNIPI)
    • • Professional project - 3 ECTS
    • • Ethics for modern AI I - 3 ECTS
    • • Internship & Defense - 6 ECTS
    • • Biosis & Wet Lab II - 6 ECTS

    Semester 3 (30 ECTS)
    • • Applied biostatistics - 3 ECTS
    • • Ethics for modern AI II - 3 ECTS
    • • Bibliographic project - 3 ECTS
    • • ML: single cell datasets - 6 ECTS
    • • Advanced programming - 3 ECTS
    • • Bioinformatics (BAM) - 3 ECTS
    • • Image analysis - 3 ECTS
    • • Open & Reproducible Science - 6 ECTS
    Semester 4 (30 ECTS)
    • • Internship and Master's Thesis - 30 ECTS
    Admission Requirements

    Bachelor's degree (180 ECTS) in Computer Science, Biomedical Engineering, Medicine, or related fields. English proficiency (English 6) required.

    More information AMU - AI for Health

    Med Biotech & AI

    The Master's Program at Università di Pisa offers comprehensive training in AI, data science, and biomedical applications, focusing on diagnostics, predictive modelling, and bioinformatics.

    • Department of Biology, Pisa University
    • Language: English
    Program Structure

    Semester 1 (30 ECTS)
    • Common Courses:
    • • AI I – 6 ECTS
    • • Advanced Biochemistry – 6 ECTS
    • Specialization Tracks:
    • • Biology Track: Prob. & Biostats (6) + Bioinfo (12)
    • • Engineering Track: Cellular Systems (6) + Genetics (12)
    Semester 2 (30 ECTS)
    • Common Courses:
    • • AI II – 6 ECTS
    • • Physio-pathology – 6 ECTS
    • • Biotech Applied to Sense Physiology – 6 ECTS
    • Specialization Tracks:
    • • Biology Track: Smart Materials & Sensors (12)
    • • Engineering Track: Microbiology & Public Health (12)

    Semester 3 (33 ECTS)
    • • Cell Signaling & Imaging Tools – 6 ECTS
    • • Bioengineering & Exp. Models – 6 ECTS
    • • Omics in Med Biotechnologies – 6 ECTS
    • • Job Placement Activities – 3 ECTS
    • • Elective Courses – 12 ECTS
    Semester 4 (27 ECTS)
    • • Internship & Master's Thesis – 27 ECTS
    Admission Requirements

    Biotechnologies, Biological Sciences, Computer Sciences, Biomedical Engineering, or related. Basic knowledge in biotechnologies, computer sciences and maths required. English proficiency required.

    More information UNIPI – AI for Health

    AI for Health

    The Master's Program at Stockholm University focuses on AI methodologies for medical diagnostics, treatment optimization, and disease prevention, blending computer science with biomedical modeling.

    • Dept. of Computer and Systems Sciences, Stockholm University
    • Language: English
    Program Structure

    Semester 1 (30 ECTS)
    • • Foundations of Data Science – 7.5 ECTS
    • • Introduction to Programming – 7.5 ECTS
    • • Health & Emergence of Diseases – 7.5 ECTS
    • • Intro to Information Security – 7.5 ECTS
    Semester 2 (30 ECTS)
    • • Data Mining – 7.5 ECTS
    • • Biological Foundations of Health – 7.5 ECTS
    • • Natural Language Processing (NLP) – 7.5 ECTS
    • • Machine Learning – 7.5 ECTS

    Semester 3 (30 ECTS)
    • • Managing AI in the Organization – 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)
    • • Master's Thesis – 30 ECTS
    Admission Requirements

    Degree of at least 180 credits (or equivalent). English proficiency required.

    More information: SU – AI for Health

    AMU–UNIPI Double Degree

    An exceptional European academic pathway at the intersection of biotechnology, biomarkers, and AI. Students spend one year at Aix-Marseille Université and one year at Università di Pisa.

    Why Choose This Program?
    International Mobility: Full immersion in two academic cultures via Erasmus+.
    Research Access: Work in cutting-edge labs in both France and Italy.
    Career Boost: Dual exposure to different clinical and industrial systems.
    Final Diplomas (120 ECTS)
    • AMU: Master’s in Health and Biology (AI & Biomarkers).
    • UNIPI: Medical Biotechnologies laurea class (LM-9), Master’s Degree in Biotechnologies and Applied Artificial Intelligence for Health.

    Objectives:
    • Expertise in AI applied to biomedical sciences.
    • Proficiency in bioinformatics & machine learning.
    • Ethics, regulatory and legal aspects of AI.
    Career Prospects:
    • R&D in AI-driven healthcare.
    • Personalized medicine & Diagnostics.
    • Health Data Science & Analytics.
    Both degrees grant eligibility for Ph.D. programs throughout Europe.
    More information: Double Degree

    Grants for Learners

    Dedicated grants are available specifically for students. These financial awards are jointly co-funded by the European Union and participating partner institutions.

    AMU Scholarships for Master 2 Internship

    Master « Biology & Health » | Track: « Biomarkers and AI »

    Status: Published Max 1 application per candidate French version

    Opening: 30 May 2025

    Deadline: 30 May 2027

    Project Details
    Acronym: AI and Health
    Full Name: Advanced Digital Skills AI and Health
    Grant No: 101083880
    Topic: DIGITAL-2021-SKILLS-01-SPECIALISED – Specialised education programmes in key capacity areas
    Financial & Duration
    Scholarships: 70 available
    Total Budget: 210,000 euros
    Internship: Min. 6 months
    Allowance: €487.20 (16d) – €639.45 (20d)

    Purpose: Granting funds for students enrolled in Master 2 « Biology & Health » at the Faculty of Medical & Paramedical Sciences (AMU).

    Hosting Organism: Allocation follows French Law for traineeships >2 months. Paid as daily allowance (4.35 €/hour). Max 10h/day, 35h/week. Double-funding: Combination with Erasmus+ or other EU grants is not allowed.

    • AI usage in biomedical and healthcare research.
    • Development and validation of biomarkers (diagnosis/monitoring).
    • Appropriate use of IT tools for large medical datasets.
    • Machine Learning & Deep Learning for personalised medicine.
    • High-impact research in biology, AI, and bio-informatics.

    Applications: Send form + attachments (Cover letter, CV, Traineeship agreement from aiandhealth.eu, Liability insurance, Enrollment certificate, ID card) to: nicole.haroun@univ-amu.fr.

    Selection Criteria: Based on traineeship location, merit, and qualifications. Weight: 1. Subject alignment (3/5) | 2. Publication potential (1/5) | 3. New digital skills (1/5).

    Downloads:
    Application Form (EN) Form (FR)

    Payment: Paid by AMU based on time sheets.

    Legal Disclaimer: This call (as well as the financial support that will be provided through it) is NOT an EU action. This call is launched solely by Aix-Marseille Université [AMU]. The financial support to the selected successful applicants will be provided directly by AMU in its own name and under its own responsibility. AMU’s own responsibility includes the preparation and drafting of this call as well as the selection of successful applicants that will receive the said financial support. The publication of this call in the EU Funding & Tenders Portal is made solely for information purposes with the aim to increase the visibility of this call to the general public, including to potential applicants (i.e. students). The said publication shall not be construed as direct or indirect approval of the content and conditions of this call by the relevant EU authorities or as any form of waiver from the above-described responsibility of AMU.

    European Mobility Programme – INRIA Internship

    Master's program AI & Health | Research Specialization

    10 Scholarships available EU, EFTA & Associated Countries only

    Opening: 08 Jan 2026

    Deadline: 31 Mar 2026

    Mobility Details
    Host Institution: INRIA World-class Laboratories (France)
    Duration: 6-month internship
    Objective: Professional specialization & Ph.D. promotion
    Requirement: Data Protection Agreement (signed by Home Univ.)
    Financial Support
    Grant Amount: 600 euros
    Coverage: Travel, accommodation, subsistence
    Not Covered: Repatriation and liability insurances
    Double Funding: Not combinable with Erasmus+ (SMP)

    • January 8, 2026: Opening of the internship call.
    • January 2026: Start of the internships in INRIA's hosting labs.
    • March 31, 2026: Deadline for applying for the call.
    • October 2026: Deadline for completing the funded internship.

    Eligibility: Open only to students from EU countries, EFTA countries, and countries associated with the Digital Europe Programme (e.g., Ukraine) registered in the AI & Health Master.

    How to submit: Check application details in the document below and send your proposal to:

    aiandhealth.eu.internship@inria.fr
    Application Documents

    Submission Portal: aiandhealth.eu.internship@inria.fr

    EVENTS

    EVENTS

    From universal knowledge to cutting-edge technology: discover our diverse range of educational events

    Conferences

    The Université du Temps Libre (UTL), a common service of Aix-Marseille University, has the general mission of disseminating and transmitting knowledge, expertise, and scientific culture through non-degree educational programs, open to all and with no diploma requirements. It also serves as a tool for promoting and enhancing university research and the region.

    In previous conferences and events, we have explored:

    • AI-Driven Healthcare Transformation: How artificial intelligence is revolutionizing medical diagnostics, oncology, and real-time patient monitoring.
    • Strategic European Innovation: Contributions to major forums like VivaTech and the Digital Europe Programme to shape the future of digital skills.
    • Ethical & Transparent Technology: Addressing the "black box" of AI through discussions on algorithmic explainability and ethical frameworks.
    • Multidisciplinary Impact: Expanding AI’s reach beyond medicine to include environmental sustainability and satellite imagery analysis.

    View all conferences

    Dashboard Interface

    AI&Health TechTalks

    As part of our commitment to advancing innovation in digital health and supporting the next generation of professionals, we are offering a series of free webinars focused on the most relevant and cutting-edge AI technologies for eHealth. These sessions aim not only to inform and engage eHealth professionals and companies but also to help students from the AI & Health Master’s program deepen their knowledge and enhance their career prospects. By connecting them with real-world use cases and industry leaders, we aim to facilitate their transition into the job market. The webinars will be led by highly innovative startups involved in the project, including top-tier companies such as:

    All recognized for their pioneering work in AI and healthcare. Join us to explore how AI is transforming the future of health — and how you can be part of it.

    View all TechTalks

    Analytics Tools
    Webinar Recap

    Our Last Event

    Webinar: Machine Learning & Data Analysis

    February 26th, 2026 | #AI&Health Project

    On February 26, experts Silvia Panicacci and Gianluca Giuffrida from IngeniArs led an insightful deep dive into how ML and Data Analysis are reshaping the modern world. This session provided specialized expertise in AI, biomarkers, and health informatics.

    Session Materials:
    Watch Recording Download Presentation
    MOOCs

    MOOCs

    Tailored for beginners without prior experience, this series of Massive Open Online Courses (MOOCs) welcomes professionals, healthcare practitioners and innovators, policymakers, students, and anyone curious about AI.

    Explore flexible, self-paced learning across multiple courses, diving into the fundamentals of AI, data science, and their diverse applications in healthcare. Whether embarking on your AI career journey or simply exploring, these introductory courses are designed just for you!

    Explore a wide range of courses designed to enhance your skills and knowledge in AI, data science, and their applications to healthcare.

    Access available courses
    AI and ML Introduction

    1. Introduction to AI and ML

    A course introducing the core concepts of AI and Machine Learning, and potential real-world applications. The course also explores AI risks, ethical concerns, and how explainable AI could help address these.

    Access the course
    Data Science and ML Methods

    2. Data Science and ML Methods

    A deeper dive into data science, from data exploration to training and evaluation. The course also covers the three main machine learning paradigms: supervised, unsupervised, and reinforcement learning, with examples of algorithms and applications.

    Access the course
    SHORT-TERM COURSES

    SHORT-TERM COURSES

    The AI&Health Project offers specialized AI training for industry and healthcare professionals

    HOW

    With specialized training courses

    These courses combine cutting-edge scientific knowledge with hands-on sessions, enabling participants to master advanced digital technologies directly applicable to industrial challenges. By fostering collaboration between researchers and engineers, the AI&Health Project aims to accelerate the adoption of trustworthy, efficient AI solutions across the industrial Healthcare sector.

    Services
    AI and Healthcare
    AI and Healthcare: From Predictive to Prescriptive Models
    Module: State of the Art
    Language: French

    Understanding the potential of health data with AI models.

    Learn more
    Federated learning and Healthcare
    Federated Learning in Healthcare
    Module: Deeptech
    Language: French (English on demand)

    This module covers current advances in federated learning for applications using sensitive health data, addressing challenges in data heterogeneity and real-world deployment.

    Learn more
    model for artificial intelligence
    The brain, a model for artificial intelligence
    Module: State of the Art
    Language: French

    This training aims at better understanding how different forms of artificial intelligence work and how they learn, their methods, their capabilities, and their limitations.

    Learn more
    Medical devices incorporating AI
    Medical devices incorporating AI: methodological and regulatory challenges
    Module: State of the Art
    Language: French

    This module covers advanced machine learning and causal reasoning methods, alongside a strict regulatory framework for integrating AI into medical devices.

    Learn more
    Other AI modules
    Recommended European Hubs (AI & Health)
    • CHEDIH, Italy

      Offers several training courses on medical & health topics.

      More information
    • DATALife, Spain

      Offers several trainings about Biotechnology and Healthcare.

      More information
    • eDIH-DIZ

      Offers courses on AI and health topics, as well as cybersecurity applied to the medicine sector.

      More information
    PARTNERS

    PARTNERS

    To create a network of educational and training institutions, research centers and companies in the field of AI and health, several universities have teamed up to train students across four countries (Sweden, Italy, France, and Spain) to obtain a double master's degree.

    Aix-Marseille Université Campus
    Partner University

    Aix-Marseille Université (AMU)

    Aix-Marseille Université (AMU) stands as France's largest university, boasting a student body of 68,831 individuals, according to the 2021 Shanghai ranking. Internationally acclaimed for its expertise in health and Artificial Intelligence, AMU has established itself as a leader in the field through its pioneering teaching programs. In 2021, AMU took a significant step forward with the establishment of the Institut Laënnec, a groundbreaking institute dedicated to digital sciences and artificial intelligence for health.

    Discover the AMU Team
    Università di Pisa
    Partner University

    Università di Pisa (UNIPI)

    The University of Pisa, founded in 1343, is dedicated to generating, preserving and sharing knowledge across all academic fields. Our core mission is to foster excellence in both research and teaching, and to strengthen the ties between them. Thanks to a long tradition of high-level scholarship, rich international networks and an open-minded community of passionate researchers, we are well-placed to tackle global challenges, drive innovation and transfer knowledge to society and industry.

    Discover the UNIPI Team
    Stockholms universitet
    Partner University

    Stockholms universitet (SU)

    Stockholm University is ranked among the world’s top 100 universities, and is one of Europe’s leading institutes for higher education and research within both human science and science. With more than 30,000 full-time equivalent students, around 1,300 doctoral candidates, and 5,400 employees, Stockholm University is one of the largest universities in Sweden and one of the largest employers in the capital. Knowledge, enlightenment, truth seeking and critical thinking have been cornerstones since the University was founded in 1878.

    Discover the SU Team
    Universitat Autònoma de Barcelona
    Partner University

    UAB

    The Universitat Autònoma de Barcelona (UAB) is a leading European centre of research and teaching. It offers top-level undergraduate and postgraduate programmes across nearly all disciplines, supported by 351 research groups, 57 departments and 68 institutes—many founded in partnership with major scientific organisations. UAB’s five affiliated hospitals also engage in research; three hold the Carlos III Health Institute’s seal of excellence.

    Discover the UAB Team
    Inria
    Research Partner

    Inria

    Inria is the French national institute for research in digital science and technology, and since January 2024 has been responsible for the Agence de programmes dans le numérique (Digital Programs Agency), designed to strengthen the collective dynamics of higher education and research. Its DNA is based on world-class research, technological innovation and entrepreneurial risk. Within 220 project teams, most of which are shared with major research universities, more than 3,800 scientists are exploring new avenues, often in interdisciplinary collaboration with industrial partners, to meet ambitious challenges. As a technology institute, Inria supports a wide range of innovation paths: from open source software publishing to the creation of technology startups (Deeptech).

    Additional Start-ups, SMEs, and Associated Partners supporting and collaborating in the project

    GenomeUp
    IngeniArs
    Kode
    Roka
    3IA
    Bucharest Uni
    UMF Carol Davila
    CONTACT

    CONTACT

    Get in touch with the Advanced Digital Skills: AI & Health consortium. We are happy to answer any questions about our project and initiatives.

    General Inquiries

    Curious about our project?

    Want to know more about AI & Health? Whether you have questions about the consortia, our objectives, or potential collaborations, we would love to hear from you.