Engineering
BA Architecture
Yale University, United States
- Degree
- Bachelor's
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- First-year and transfer applicants apply to begin in the fall semester.
Engineering
Yale University, United States
The hybrid MHS in Medical Artificial Intelligence is for professionals who will lead development and implementation of AI tools in healthcare, with training in machine learning, data science, software engineering, regulatory affairs and clinical applications. It offers a Technical track and a Clinical (non-technical) track.
Faculty: Yale School of Medicine | Duration: Two years; hybrid format | Study mode: online | Location: New Haven, CT, United States
Two in-person weeks at Yale (August and January), pre-recorded lectures and live online sessions. Core courses are Mathematical Foundations of AI, Medical AI Context, Computational Foundations of AI and Medical AI Lab, followed by electives and a project practicum culminating in an independent project or oral examination.
Undergraduate degree in a technical field such as computer science, data science, engineering, statistics or medicine, with relevant professional experience; applicants must reside in the United States, Canada or Mexico.
Duration: Two years; hybrid format
Apply through the official page: https://medicine.yale.edu/edu/degree-programs/mhs-degree/admissions-and-support/how-to-apply
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
Engineering
Yale University, United States
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