一、专业定位
东莞理工学院控制工程专业硕士（专业代码：085406）为全日制专业学位硕士，学制两年。该专业旨在培养具备扎实控制理论基础、智能技术应用能力与工程创新精神的高层次应用型人才。
二、培养目标
本专业培养适应工业自动化变革、具备控制工程思维与系统集成能力的专业人才。学生将系统掌握控制理论与智能技术，具备控制系统设计、智能装备开发、工业机器人应用、产线数字化改造等核心能力，能够在智能装备、工业机器人、自动化系统集成、智能制造管理等领域从事专业技术与管理工作。
三、专业特色与课程体系
专业设置机器人与智能控制、人工智能与机器视觉两大特色培养方向,实行全日制两年学制。课程体系兼顾理论基础与前沿技术，涵盖线性系统理论、机器人控制技术、机器视觉、智能控制、高级嵌入式系统等核心内容，并融入人工智能、大模型应用、数字孪生等新技术模块，注重控制工程思维与数字化技能的融合。
四、专业导师
控制工程专业拥有一支学术水平高、工程实践经验丰富的导师队伍。导师团队在机器人与智能控制、人工智能与机器视觉、工业自动化等领域具有深厚的学术积累。
五、就业前景
毕业生可在智能制造企业、工业机器人企业、自动化集成商、数字化服务商等单位从事控制系统研发、智能装备设计、产线数字化转型、系统集成与项目管理等相关工作，是适应数字经济时代制造业高质量发展需求的专业人才。
1. Program Overview
The Master of Control Engineering (Major Code: 085406) at Dongguan University of Technology is a full-time professional master's program with a two-year duration. Established in alignment with the national strategy for intelligent manufacturing, the program aims to cultivate high-level applied talents with a solid foundation in control theory, proficiency in intelligent technology, and an innovative engineering mindset.
2. Training Objectives
The program trains professionals who are adaptable to industrial automation transformation and possess systems integration capabilities as well as control engineering thinking. Students will systematically master control theory and intelligent technologies, develop core competencies in control system design, intelligent equipment development, industrial robot applications, and production line digital transformation. Graduates are expected to play a professional role in fields such as intelligent equipment, industrial robotics, automation system integration, and intelligent manufacturing management.
3. Program Features and Curriculum
The programme offers two distinctive training directions: Robotics and Intelligent Control, and Artificial Intelligence and Machine Vision. with a two-year full-time study duration model. The training process includes theoretical instruction, case studies, engineering practicum, and thesis research, with an emphasis on industry-education integration and engineering practice competency development. The curriculum balances theoretical foundations and cutting-edge technologies, covering core content such as linear system theory, robotic control technology, machine vision, intelligent control, and advanced embedded systems. It also incorporates emerging technology modules including artificial intelligence, large model applications, and digital twins, with attention to the integration of control engineering thinking and digital skills.
4. Supervisors
The Control Engineering program boasts a supervisory team with high academic standing and extensive engineering practice experience. The faculty has deep academic expertise in areas such as robotics and intelligent control, artificial intelligence and machine vision, and industrial automation.
5. Career Prospects
Graduates may work in intelligent manufacturing enterprises, industrial robotics companies, automation system integrators, and digital service providers, engaging in areas such as control system R&D, intelligent equipment design, production line digital transformation, system integration, and project management. The program cultivates professionals well-suited to meet the talent demands of high-quality manufacturing development in the digital economy era.
