Carnegie Mellon University｜M.S. In Neural Technologies (MiNT)。项目库类目：生物工程 · 工科。
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QS 2027 · 第 55 位
学位 硕士
📖 项目简介
Duration: A full-time, five-semester (72-week), 153-unit degree.
Target Audience: Ideal for students with a bachelor's degree in a relevant area such as physics, biology, chemistry, mathematics, computer science, neuroscience or engineering.
Prerequisites: Successful applicants are expected to have a strong background in basic science or engineering, statistics and data science, and a basic proficiency in at least one programming language (e.g., Python, R, C++).
Duration: A full-time, five-semester (72-week), 144-unit degree.
Target Audience: This program is best suited for students with a bachelor's degree in a foundational discipline like physics, biology, chemistry, mathematics, neuroscience or engineering.
Prerequisites: Applicants should have a strong background in basic science or engineering, statistics and data science, and a basic proficiency in at least one programming language (e.g., Python, R, C++).
Duration: A two-semester, 90-unit accelerated degree.
Prerequisites: Admission is selective and based on academic performance. Applicants must have a strong background in statistics and data science and basic proficiency in a programming language (e.g., Python, R, C++), with a preference for students who have some training in engineering.