
This Master's degree program focuses on applying digital innovation within the biomedical and healthcare sectors. It equips graduates with a unique interdisciplinary skillset, blending expertise in the biomedical field with practical skills in artificial intelligence and data science. The 2-year, 120 ECTS program covers core areas of biomedicine, data management, and data analysis, alongside integrated courses that delve into the practical and multidisciplinary aspects of these fields. Students will also explore the ethical, legal, and economic considerations of managing biomedical data in various contexts. The curriculum includes laboratory experience and an internship, which can be undertaken domestically or internationally, preparing students for diverse professional and research roles. Graduates will act as crucial bridges between biomedicine and data analysis, enhancing communication in fields where these disciplines often struggle to understand each other.
The curriculum is designed to provide a comprehensive understanding of artificial intelligence applied to biomedicine and healthcare. It includes courses covering key aspects of biomedicine, data management, and data analysis, alongside interdisciplinary modules. Students will also examine the ethical, legal, and economic dimensions relevant to biomedical data. Laboratory work and a thesis internship are integral components.
Graduates will be prepared for professional roles that bridge the gap between the biomedical and data science fields. The program aims to develop professionalism and technical skills applicable to various work environments and research settings.
Personal preparation will be assessed through a written and oral test. A motivation letter is also required. Language certifications must be no more than three years old. Accepted entry qualification documents are in English, French, Italian, or Spanish. Documents in other languages require certified translations.
Tuition fees for the academic year 2026-27 will be confirmed on the University portal. Fee reductions or exemptions may be available. An application fee of €60 is required and is non-refundable.
Applicants need a first-cycle degree (minimum 3 years) with a grade of at least 9/10 of the highest possible grade. This degree must include a minimum of 45 ECTS/CFU in specific fields such as Mathematics, Statistics, or Biology.
Accepted tests include IELTS (5.5 overall, no component below 5.5), PTE Academic (65), TOEFL iBT (69 overall, no component below 17), and Cambridge English Certificates (FCE: 173 (B), CAE, CPE). Language certifications must be no more than three years old.
Tuition for international students is €2,800 per year. There is also a non-refundable application fee of €60.
The program has a nominal duration of 2 years and consists of 120 ECTS credits. The study language for the entire program is English.
The application deadline for non-European applicants residing abroad is August 25, 2026, with the application submission closing on September 8, 2026, at 23:59:59 CET.
Graduates will be prepared for professional roles that bridge the gap between biomedical and data science fields. They will act as crucial bridging figures between biomedicine and data analysis.