Máster online
Duración : 12 Meses
With IU's Master's in Applied Artificial Intelligence in Healthcare program, you'll gain exposure to a variety of AI solutions tailored to address healthcare challenges. This degree equips you with a robust understanding of computer science, machine learning, and healthcare, empowering you to forge innovative connections between AI and medicine. By bridging these disciplines, you'll propel both fields towards new frontiers, driving innovation and shaping the future of healthcare.
Why should you choose IU?
• Affordable: Enjoy tuition fee reduction
• Flexible: 24/7 access to IU’s digital learning materials, wherever you are
• 24/7 Assistance: IU’s AI-driven teaching assistant helps you prepare for exams, find materials in the virtual library, and clarify questions
• Career-oriented: Courses combine theory and practical application through real-world case studies
• International: All programmes are accredited according to German and EU standards in education
Emagister S.L. (responsable) tratará tus datos personales con la finalidad de gestionar el envío de solicitudes de información y comunicaciones promocionales de formación con tu consentimiento. Ejerce tus derechos de acceso, supresión, rectificación, limitación, portabilidad y otros, según se indica en nuestra política de privacidad.
Requisitos
Academic Requirements: - Completed degree from a public or officially recognised university/higher education institution in relevant field. - At least a “satisfactory” or Grade C equivalent earned in your previous degree. - Your undergraduate degree should be worth 240 ECTS credits. Professional Experience: For some 60-ECTS master programmes, you will need to have achieved one year of professional work experience before starting your studies. English Level: - Proof of English skills. - If you do not meet the English skills requirements, IU offers a free of charge English Language course. This is available to you if you meet the other admission requirements. - If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.
Temario completo de este curso
SEMESTER 1
Machine Learning
Deep Learning
Reinforcement Learning
Inference and Causality
Seminar: Current Topics in AI
AI in Healthcare
SEMESTER 2
AI in Medical Imaging and Diagnostics
Medical NLP
Medical Robotics and Diagnostics
Master Thesis
Module guide
Course schedule