Università di Pisa (UNIPI)

The Master's Program in AI for Health is offered by Università di Pisa. The university has a strong tradition in scientific research and innovation, particularly in the fields of medicine, engineering, and artificial intelligence. Located in Pisa, a city known for its academic excellence and technological advancements, the university provides students with access to a rich research environment and collaboration opportunities with leading healthcare institutions and industry partners.

Program Overview

• Program Name: Master's Program in AI for Health
• 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, Università di Pisa

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 their applications in biomedical research and healthcare. The program is designed to equip students with advanced skills in AI-driven healthcare solutions, including medical diagnostics, predictive analytics, 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 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).

Contact Information

For further details, visit the program page: Università di Pisa - AI for Health.