The Master's Program in AI for Health is offered by Aix-Marseille Université (AMU), one of France’s largest and most prestigious universities. AMU has a strong reputation for excellence in education and research, particularly in artificial intelligence, healthcare technologies, and biomedical sciences. Located in Marseille, the university provides students with access to cutting-edge laboratories, collaborative research projects, and partnerships with leading healthcare institutions and technology companies.
- Program Name: Master's Program in AI for Health
- 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
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.
Year 1 - Biomarkers and Artificial Intelligence
Semester 1 (30 ECTS)
- Biostatistics in health - 3 ECTS
- Practice in wet lab I - 3 ECTCS
- Molecular bases of immunotherapies - 3 ECTS
- Introduction to data science - 6 ECTS (Online with SU)
- Introduction to programing - 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 - Biomakers & Artificial Intelligence
Semester 3 (30 ECTS)
- Applied biostatistics / Introduction : descriptive statistics adapted to biomarkers - 3 ECTS
- Ethics for modern AI in health II - 3 ECTS
- State of the art bibliographic project - 3 ECTS
- Machine Learning : application to the analysis of single cell data sets - 6 ECTS
- Advanced programming - 3 ECTS
- Bioinformatics and mutational analysis (BAM) - 3 ECTS
- Image analysis - Biomarker diagnostics - 3 ECTS
- Open Science and Reproductible Science - 6 ECTS
Semester 4 (30 ECTS)
- Internship and Master's Thesis - 30 ECTS
- A Bachelor's degree of at least 180 ECTS or equivalent in a relevant field (computer science, biomedical engineering, medicine, bioinformatics, or related disciplines).
- Proficiency in English (English 6 or equivalent).
For further details, visit the program page:
Aix-Marseille Université - AI for Health.