Bachelor Computational Biomedicine and Artificial Intelligence

The Computational Biomedicine and Artificial Intelligence degree combines areas of Bioengineering, Medical Sciences and Computational Technologies, with an emphasis on practical application and innovation. This cycle of studies aims to train professionals capable of creating solutions that integrate artificial intelligence and data analysis in the diagnosis, prevention and treatment of diseases. Through an interdisciplinary approach and laboratory practices, students develop skills in programming, ethics, medical information management and in silico research, responding to the growing needs of the health sector and promoting the modernization of national and international health systems.

This study cycle accepts candidates who submit their application via the institutional entry admission and have obtained a positive score on one of the following sets:



Candidates can apply to this cycle of studies if they apply through the institutional access competition and have passed one of the following sets of entrance exams: 02 - Biology and Geology and 07 - Physics and Chemistry or 07 - Physics and Chemistry and 16 - Mathematics Candidates can also enter through the change of institution/course pair system, or through a Special Competition, in accordance with the legal rules in force (e.g. holders of Higher Education Courses, holders of Specialized Technological Specialization Courses, holders of Professional Higher Technical Courses, people over 23, holders of Dual Certification Courses). Candidates who meet the conditions laid down in the International Student Statute may also enter.

Students interested in the intersection between health and technology, with an aptitude for programming, data analysis and innovation, and who wish to contribute to advances in biomedicine, artificial intelligence and the modernization of health systems.

- Health data analyst for clinics, hospitals and healthcare centers. - Programmer of artificial intelligence solutions in the medical field. - Consultant in health technologies for companies and public institutions. - Specialist in medical image processing and biomedical instrumentation. - Researcher in computational biomedicine and artificial intelligence. - Data and clinical process manager in healthcare systems. - Professional in telemedicine and technical support in digital solutions.