Intelligent Computing Industrial Doctorate Program 48 months PHD Program By National Cheng Kung University (NCKU) |Top Universities

Intelligent Computing Industrial Doctorate Program

Subject Ranking

# 201-250QS Subject Rankings

Program Duration

48 monthsProgram duration

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Degree Programs : Interdisciplinary Curriculum Planning Concept and Characteristic
1. Plan interdisciplinary and team practice courses which focus on advanced applications and system integration, and combine industry practices to cultivate talents with dual expertise with AI computing technology as the core. 2. This program’s course is divided into four areas, including (1) Statistics and Applied Mathematics, (2) Computing in Memory, (3) Semiconductor Circuits and Processes, (4) Basic EECS Courses (Intermediate Former non-EECS students). 3. Leverage the advanced courses in computing/professional fields of existing departments, with course guides and course maps. 4. Some courses will be connected with industry, and teachers with interdisciplinary expertise and industry experts will jointly guide students to implement application topics. 5. There are more than 20 teachers across the colleges of Electrical Engineering and Computer Science, Engineering, science, and Management. 6. Link industry, academia, and research resources to provide a comprehensive interdisciplinary application-oriented integrated teaching and research environment!   

Program overview

Main Subject

Computer Science and Information Systems

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Degree Programs : Interdisciplinary Curriculum Planning Concept and Characteristic
1. Plan interdisciplinary and team practice courses which focus on advanced applications and system integration, and combine industry practices to cultivate talents with dual expertise with AI computing technology as the core. 2. This program’s course is divided into four areas, including (1) Statistics and Applied Mathematics, (2) Computing in Memory, (3) Semiconductor Circuits and Processes, (4) Basic EECS Courses (Intermediate Former non-EECS students). 3. Leverage the advanced courses in computing/professional fields of existing departments, with course guides and course maps. 4. Some courses will be connected with industry, and teachers with interdisciplinary expertise and industry experts will jointly guide students to implement application topics. 5. There are more than 20 teachers across the colleges of Electrical Engineering and Computer Science, Engineering, science, and Management. 6. Link industry, academia, and research resources to provide a comprehensive interdisciplinary application-oriented integrated teaching and research environment!   

Admission Requirements

5.5+
72+

4 Years
Sep

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