Based in Dongguan, serving Guangdong — aligned with the “Guangdong Province Manufacturing High-Quality Development 14th Five-Year Plan” and the national “Made in China 2025” strategy.
With the goal of strengthening the R&D and application of next-generation AI and developing intelligent industries, enterprises promote manufacturing transformation and upgrading and implement intelligent manufacturing concepts. The program aims to cultivate talents with knowledge spanning mechanical design, robot control, information acquisition, intelligent production line operation and maintenance, and management. Students will receive basic training in intelligent manufacturing engineering skills and will be able to engage in intelligent manufacturing system analysis, planning, design, and project management in related fields. They will be high-quality applied innovative talents who meet local economic and social development needs and possess teamwork spirit and innovation and entrepreneurship awareness.
Objective 1: Engineering and technical talents with professional knowledge and skills in intelligent manufacturing.
Objective 2: Ability to think independently and develop innovations in the field of intelligent manufacturing engineering.
Objective 3: Basic knowledge and professional skills in software programming, artificial intelligence, and general-purpose instrumentation.
Objective 4: Humanistic literacy, teamwork spirit, good professional ethics, social responsibility, love for the motherland, and law-abiding.
Objective 5: Innovation ability, teamwork ability, professional ability, cross-disciplinary ability, service ability, and English proficiency.
National Taiwan University of Science and Technology, National Taipei University of Technology, Donghua University, Tamkang University, Fu Jen Catholic University, Tatung University, and more than twenty other higher education institutions.
Delta Electronics Power (Dongguan), Dongguan Shini Electric Heating Machinery, Dongguan Beiliku Metal Products, Dongguan Sisuo Connector, SMC Automation, Dongguan Quanchuang Optoelectronics, Yide Electronic Technology, Shenzhen Moore Lab, Beijing Jingdiao Group, Shun De Machinery (Dongguan), and many other enterprises.
Students must meet moral education goals and pass the university physical education standards, complete all required and elective credits with specified practice components, obtain a total of 165 credits (including 149 theoretical credits with in-class practice, 16 credits of intensive practice), and earn required extracurricular credits to graduate.
Engineering Knowledge: Ability to apply relevant knowledge of mathematics, basic sciences, and intelligent manufacturing engineering to solve intelligent manufacturing engineering problems.
Problem Analysis: Ability to apply basic principles of mathematics, natural sciences, and engineering sciences to identify and formulate complex intelligent manufacturing engineering problems, and to obtain valid conclusions through literature research and analysis.
Design/Development Solutions: Ability to master basic theories and techniques such as machining, mechanical design, microcontroller programming, PLC control, industrial robot integration, and industrial IoT operation and maintenance. Innovative awareness to propose innovative solutions to intelligent manufacturing engineering problems.
Research: Ability to be familiar with basic scientific research methods in machining, mechanical design, microcontroller programming, PLC control, industrial robot integration, industrial IoT operation and maintenance, etc. Scientific research spirit to propose effective research methods for complex intelligent manufacturing engineering problems and effectively solve them.
Using Modern Tools: Ability to appropriately select appropriate technologies, resources, and modern tools for complex intelligent manufacturing engineering problems, to predict, simulate, and conduct feasibility analysis. Discover more effective modern tools through international vision and cross-cultural communication and cooperation skills.
Engineering and Society: Ability to assess the social impact and consequences of engineering solutions to complex intelligent manufacturing engineering problems.
Environment and Sustainable Development: Ability to assess the environmental impact and effects on sustainable development of engineering solutions to complex intelligent manufacturing engineering problems.
Professional Standards: Ability to comply with professional ethics and standards, fulfill social responsibilities, and exert positive influence when carrying out work related to intelligent manufacturing engineering.
Individual and Team: Possess a positive and proactive personality and a cooperative team attitude. Ability to play a key role in solving complex intelligent manufacturing engineering problems, enabling rapid completion through teamwork.
Communication: Ability to propose specific ideas and viewpoints on complex intelligent manufacturing engineering problems through effective communication channels, drawing the attention of colleagues or external parties, creating a favorable communication environment to accelerate problem-solving.
Project Management: Learn methods and techniques for intelligent manufacturing engineering project management, and be able to allocate resources appropriately for project management.
Lifelong Learning: Maintain a habit and attitude of lifelong learning, continuously self-learn using the latest learning tools, and develop the ability to solve new types of problems.
