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The Master's degree program in Artificial Intelligence Technology and Applications is a cross-disciplinary teaching focus actively developed by National Yang-Ming Chiao Tung University. It integrates the rich resources and outstanding faculty of the College of Electrical Engineering and the College of Information Science to actively cultivate talents in the field of AI who have leading innovation capabilities, the ability to solve key technical problems, meet the needs of Taiwan's economic and industrial development, and have an international perspective and global competitiveness. Through the AI talent sprint, we actively promote industry-university cooperation, drive the integration of AI technology and industry, and lead Taiwan's technological development and growth. The talent training goals of this program include solid basic science and AI professional knowledge, mastering cross-disciplinary compound knowledge, and possessing AI engineering processes and practical capabilities. In line with this goal, the curriculum planning of this program covers multi-faceted AI courses with both depth and breadth, including four key directions: basic AI theory, AI chips and components, AI applications and optimization, and AI signals and systems. A key feature of this program is the construction of diverse practical applications in the field of AI that are close to the needs of the industry and integrate hardware and software. Examples include drones, self-driving cars, reinforcement learning visual intelligence systems, video compression, AI chip design, factory automation testing, medical big data analysis, and AI robotics. This allows students to leverage the latest academic findings, delve into real-world scenarios, and directly learn AI engineering practices that enable them to "use AI to solve real-world problems."
Programme overview
Main Subject
Engineering - Electrical and Electronic
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master's degree program in Artificial Intelligence Technology and Applications is a cross-disciplinary teaching focus actively developed by National Yang-Ming Chiao Tung University. It integrates the rich resources and outstanding faculty of the College of Electrical Engineering and the College of Information Science to actively cultivate talents in the field of AI who have leading innovation capabilities, the ability to solve key technical problems, meet the needs of Taiwan's economic and industrial development, and have an international perspective and global competitiveness. Through the AI talent sprint, we actively promote industry-university cooperation, drive the integration of AI technology and industry, and lead Taiwan's technological development and growth. The talent training goals of this program include solid basic science and AI professional knowledge, mastering cross-disciplinary compound knowledge, and possessing AI engineering processes and practical capabilities. In line with this goal, the curriculum planning of this program covers multi-faceted AI courses with both depth and breadth, including four key directions: basic AI theory, AI chips and components, AI applications and optimization, and AI signals and systems. A key feature of this program is the construction of diverse practical applications in the field of AI that are close to the needs of the industry and integrate hardware and software. Examples include drones, self-driving cars, reinforcement learning visual intelligence systems, video compression, AI chip design, factory automation testing, medical big data analysis, and AI robotics. This allows students to leverage the latest academic findings, delve into real-world scenarios, and directly learn AI engineering practices that enable them to "use AI to solve real-world problems."
Admission Requirements
1 Year
Aug
Scholarships
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Graduate Degree Program of Artificial Intelligence
Chiaotung Campus, Hsinchu City, Taiwan
# 151-200QS Subject Rankings
12 monthsProgramme duration
Engineering - Electrical and ElectronicMain Subject Area
Programme overview
Main Subject
Engineering - Electrical and Electronic
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Engineering - Electrical and Electronic
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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