天津中德应用技术大学
智能制造工程专业介绍
Introduction to the Program of Intelligent Manufacturing Engineering
Tianjin Sino‑German University of Applied Sciences
一、专业概况
智能制造工程专业（专业代码 080213T，工学学士，标准学制四年）隶属于天津中德应用技术大学机械工程学院，是学校对接 “双优” 工程建设重点布局的新工科专业。专业立足天津、服务京津冀、面向全国，紧扣天津市制造业立市战略，对接天津市 “5+5+6” 现代工业产业体系总体框架以及 12 条重点产业链，面向京津冀高端装备产业集群，聚焦高端装备智能制造、汽车智能生产、航空航天零部件智能制造三个细分领域。本专业属于机‑电‑控‑软‑管多学科交叉学科，以机械工程为主体，融合电控、软件与管理学科，重点面向智能装备应用、产线系统集成、数字化工厂运维、工业软件与数据应用方向，持续推进专业建设与区域产业人才需求精准对接。
I. Program Overview. The Program of Intelligent Manufacturing Engineering (Program Code 080213T, Bachelor of Engineering, four-year standard length of study) is offered by the School of Mechanical Engineering, Tianjin Sino-German University of Applied Sciences. It is a key new-engineering program strategically developed in alignment with the university’s “Double Excellence” initiative. Based in Tianjin, serving the Beijing-Tianjin-Hebei region and oriented toward the whole country, the program closely supports Tianjin’s strategy of building a strong manufacturing city and aligns with the overall framework of Tianjin’s “5+5+6” modern industrial system and its twelve key industrial chains. Targeting the high-end equipment industrial cluster in the Beijing-Tianjin-Hebei region, it focuses on three areas: intelligent manufacturing of high-end equipment, intelligent automobile production, and intelligent manufacturing of aerospace components. It is an interdisciplinary programme covering mechanical engineering, electrical engineering, control engineering, software engineering and management. The program focuses on intelligent equipment applications, production-line system integration, digital-factory operation and maintenance, and industrial software and data applications, continuously strengthening the alignment between program development and regional industrial talent needs.
二、培养目标
本专业面向天津制造业立市战略及京津冀高端装备制造产业集群，聚焦区域智能制造产业升级需求，落实立德树人根本任务，培养德智体美劳全面发展，具备良好政治思想素质、人文社会科学素养和职业道德，掌握机械工程、控制科学、计算机技术、人工智能跨学科综合理论知识与实践技能，具有较强机械结构设计、机电系统设计、工程实践与创新能力，熟悉行业相关标准，能够从事智能制造领域系统设计、技术开发与应用、企业生产管理与决策相关工作，具备实践能力、创新意识与国际化视野的高素质应用型综合人才。
毕业生经过 5 年左右实际工作锻炼，能够解决智能制造领域复杂工程问题，成长为企业业务骨干；具备工程师社会责任感，综合考量法律、环境与可持续发展因素；拥有良好团队协作与沟通表达能力；具备终身学习能力，能够跟随行业技术迭代持续提升专业水平。
II. Educational Objectives. Oriented toward Tianjin’s strategy of building a strong manufacturing city and the high-end equipment manufacturing cluster in the Beijing-Tianjin-Hebei region, the program responds to the upgrading needs of the regional intelligent manufacturing industry and fulfills the fundamental mission of fostering virtue through education. It aims to cultivate high-quality, application-oriented interdisciplinary professionals with all-round development in morality, intelligence, physical fitness, aesthetics and labour. Graduates are expected to possess sound political and ideological qualities, humanities and social-science literacy, and professional ethics; master interdisciplinary theoretical knowledge and practical skills in mechanical engineering, control science, computer technology and artificial intelligence; and demonstrate strong capabilities in mechanical structure design, electromechanical system design, engineering practice and innovation. Familiar with relevant industry standards, they will be capable of engaging in system design, technology development and application, enterprise production management and decision-making in the field of intelligent manufacturing, with strong practical ability, innovative awareness and an international perspective.
After approximately five years of professional practice, graduates are expected to be able to solve complex engineering problems in intelligent manufacturing and grow into key personnel in enterprises. They should demonstrate a strong sense of social responsibility as engineers, comprehensively consider legal, environmental and sustainable-development factors, possess strong teamwork and communication skills, and maintain the capacity for lifelong learning so as to continuously enhance their professional competence in response to technological advances in the industry.
三、专业特色
专业建设突出工程性、实践性、应用性，主要特色体现在：
（1）机‑电‑控‑软‑管交叉，差异化现场工程师培养。避开与研究型高校同质化竞争，聚焦 “现场工程师” 核心培养目标，打破课程、岗位、证书、竞赛、创新之间壁垒，推进 “岗课证赛创” 一体化，将国家职业标准、企业岗位技能、行业竞赛内容融入课程体系。
（2）基于 OBE 理念，模块化动态课程体系。参照工程教育认证标准，构建 “底层通用基础‑核心专业能力‑方向特色拓展‑综合创新应用” 四级模块化课程；设立由骨干教师与企业技术专家组成专业建设指导委员会，动态更新课程内容，淘汰老旧课程，增设数字化工厂建模仿真、工业大数据与人工智能等前沿课程；推行项目式、任务化教学改革，以企业真实项目作为课程载体。
（3）赛课证岗结合，四年实践不断线。落实一年级企业现场认知、二年级企业生产工艺实践、三年级企业真实项目实践、四年级毕业实习与毕业设计；推进课证融合，学生在校可考取智能制造、工业机器人相关中级及以上职业资格证书；借鉴国外应用科技大学、双元制大学经验，开展国外专家讲座、海外游学、夏令营等国际交流活动，拓宽国际化视野。
III. Program Features. The program emphasizes engineering cognitive internship, practical training and application, with the following major features:
(1) Interdisciplinary integration of machinery, electrical engineering, control, software and management for differentiated on-site engineer development. To differentiate its talent-development approach from that of research-oriented universities, the program focuses on the cultivation of “on-site engineers.” It breaks down barriers among job requirements, courses, certificates, competitions and innovation, promotes integrated development of “job-course-certificate-competition-innovation,” and incorporates national occupational standards, enterprise job skills and industry-competition content into the curriculum system.
(2) An OBE-oriented, modular and dynamically updated curriculum system. With reference to engineering education accreditation standards, the program establishes a four-level modular curriculum comprising foundational general knowledge, core professional competence, direction-specific development, and comprehensive innovative application. A program development advisory committee composed of key faculty members and enterprise technical experts is established to dynamically update course content, phase out outdated content, and introduce frontier courses such as Digital Factory Modeling and Simulation and Industrial Big Data and Artificial Intelligence. Project-based and task-driven teaching reforms are implemented, with authentic enterprise projects used as teaching carriers.
(3) Integration of competitions, courses, certificates and job competencies, with continuous practical training throughout all four years. The program arranges on-site enterprise cognitive internship in the first year, enterprise production-process practice in the second year, authentic enterprise-project practice in the third year, and graduation internship and graduation design in the fourth year. Course-certificate integration is promoted so that students can obtain intermediate-level or higher vocational qualification certificates related to intelligent manufacturing and industrial robots while at university. Drawing on the experience of overseas universities of applied sciences and dual-study universities the program also organizes international activities such as lectures by overseas experts, overseas study tours and summer camps to broaden students’ international perspectives.
四、主修课程
本专业主修工程图学、工程力学、机械设计基础、电工电子基础、控制工程基础、程序设计基础（Python）、智能传感器与检测技术、机电传动与运动控制、电气控制与 PLC、机器人技术及应用、机器视觉技术及应用、智能数控技术及装备、数字化工厂建模与仿真、工业大数据与人工智能、智能制造生产计划管理 (MES/ERP)、增材制造技术及应用等课程。
本专业毕业总学分为 163 学分，课程体系由公共基础课程、专业基础课程、专业课程、工程实践与综合实践课程四个模块构成：公共基础课程 67 学分，约占 41.2%，涵盖人文社会科学、自然科学、综合素质教育及公共选修；专业基础课程 39 学分，占 24.0%，主要包括工程图学、工程力学、机械原理、机械设计、电工电子基础、控制工程基础、嵌入式技术及应用等；专业课程 17 学分，占 10.5%，含专业核心课程组、专业方向课程（智能装备设计与应用、智能制造系统集成与产线设计运维二选一）与专业个性化选修课；工程实践与综合实践课程 32.5 学分，占 20.0%，涵盖基础实验、理实一体化课程、课程设计、企业实习、毕业实习与毕业设计（论文）。
专业设置智能装备设计与应用、智能制造系统集成与产线设计运维两个培养方向，构建 “四年实践不断线” 实践教学体系，形成基础实践‑专业实践‑综合实践‑企业项目实践逐级递进，开设机器人技术、机器视觉技术及应用等 8 门理实一体化课程，强化学生工程实操能力。
IV. Major Courses. The main courses include Engineering Graphics, Engineering Mechanics, Fundamentals of Machine Design, Fundamentals of Electrotechnology and Electronics, Fundamentals of Control Engineering, Fundamentals of Programming (Python), Intelligent Sensors and Detection Technology, Electromechanical Drive and Motion Control, Electrical Control and PLC, Robot Technology and Applications, Machine Vision Technology and Applications, Intelligent Numerical Control Technology and Equipment, Digital Factory Modeling and Simulation, Industrial Big Data and Artificial Intelligence, Intelligent Manufacturing Production Planning and Management (MES/ERP), Additive Manufacturing Technology and Applications, etc.
To graduate, students must earn a total of 163 credits. The curriculum system consists of four modules: public basic courses, professional basic courses, professional courses, and engineering practice and comprehensive practice courses. Public basic courses account for 67 credits, approximately 41.2%, covering humanities and social sciences, natural sciences, comprehensive quality education and public electives. Professional basic courses account for 39 credits, or 24.0%, and mainly include Engineering Graphics, Engineering Mechanics, Theory of Machines, Machine Design, Fundamentals of Electrotechnology and Electronics, Fundamentals of Control Engineering, Embedded Technology and Applications, etc. Professional courses account for 17 credits, or 10.5%, and include professional core-course modules, direction-specific courses (students choose either Intelligent Equipment Design and Applications or Intelligent Manufacturing System Integration and Production-Line Design, Operation and Maintenance), and personalized professional electives. Engineering practice and comprehensive practice courses account for 32.5 credits, or 20.0%, covering basic experiments, theory-practice integrated courses, course design, enterprise internships, graduation internships and graduation design (thesis).
The program offers two specialized directions: Intelligent Equipment Design and Applications, and Intelligent Manufacturing System Integration and Production-Line Design, Operation and Maintenance. It establishes a “four-year continuous practical training” system that progresses from basic practice to professional practice, comprehensive practice and enterprise-project practice. Eight theory-practice integrated courses, including Robot Technology and Applications and Machine Vision Technology and Applications, are offered to strengthen students’ hands-on engineering capabilities.
五、师资与教学条件
智能制造工程专业现有专任教师 17 人，其中教授 4 人，副教授及以上职称 13 人，具有博士学位教师9人；教师研究方向覆盖智能装备技术、机器人技术、机器视觉、数控技术等领域。专业教师主持、参与多项省部级、企业横向科研项目，主编智能制造相关规划教材，获得天津市教学成果二等奖等教学奖励。
专业依托机械工程学院共享全院45个实验室开展教学科研；主要教学实验设备包含智能制造单元、5G+数字化制造单元、工业机器人系列设备、机器视觉实训平台、数字化工厂仿真平台、增材制造设备、多轴加工设备、各类工业仿真软件等，设备条件可支撑课程实验、理实一体化教学、课程设计、综合实践、学科竞赛以及本科科研训练。
V. Faculty and Teaching Facilities. The Program of Intelligent Manufacturing Engineering currently has 17 full-time faculty members, including 4 professors, 13 faculty members with academic titles of associate professor or above, and 9 faculty members holding doctoral degrees. Their research interests cover intelligent equipment technology, robot technology, machine vision, numerical control technology and related fields. Faculty members have led or participated in a number of provincial/ministerial and industry-sponsored research projects, compiled textbooks related to intelligent manufacturing, and received teaching awards including the Second Prize of the Tianjin Municipal Teaching Achievement Award.
Teaching and research are supported by 45 laboratories shared across the School of Mechanical Engineering. Major teaching and experimental facilities include intelligent manufacturing units, 5G+ digital manufacturing units, industrial robot systems, machine vision training platforms, digital-factory simulation platforms, additive manufacturing equipment, multi-axis machining equipment, and various industrial simulation software packages. These facilities support course experiments, theory-practice integrated teaching, course design, comprehensive practice, academic competitions and undergraduate research training.
六、科研方向
专业科研方向结合本专业人才培养定位、实验室建设条件、师资专业特长确定，主要包括：
（1）机器人技术、机器人系统集成与故障诊断；
（2）机器视觉检测技术与智能检测装备开发；
（3）数字化工厂、数字孪生、产线建模仿真与优化；
（4）智能机电装备设计、运动控制技术研究；
（5）工业大数据、工业人工智能在制造场景的应用；
（6）数控加工工艺、增材制造工艺与装备技术研究。
VI. Research Directions. The program’s research directions are determined in accordance with its talent-development cognitive internship, laboratory conditions and faculty expertise, and mainly include:
(1) Robot technology, robot system integration and fault diagnosis;
(2) Machine vision inspection technology and development of intelligent inspection equipment;
(3) Digital factories, digital twins, and production-line modeling, simulation and optimization;
(4) Design of intelligent mechatronic equipment and research on motion-control technology;
(5) Applications of industrial big data and industrial artificial intelligence in manufacturing scenarios;
(6) Research on numerical-control machining processes, additive manufacturing processes and equipment technologies.
七、校企合作
专业坚持 “学生走进企业、企业走进学校” 双向育人模式，深度对接天津市重点产业链企业，合作企业包含天津荣程联合钢铁集团有限公司、通用技术集团天津第一机床有限公司、天津汽车模具股份有限公司、一汽‑大众汽车有限公司天津分公司、天津市天锻压力机有限公司、华海清科股份有限公司、天津博诺智创机器人技术有限公司、空中客车（天津）总装、天津航天长征火箭制造有限公司等。
广泛开展专业认知实习、企业生产实践、企业项目实践、顶岗预就业、实习‑毕业设计‑就业一体化项目。企业深度参与人才培养方案修订、课程开发、实训项目设计；企业工程师承担实践环节教学，把企业真实生产订单、岗位技术要求融入教学内容。结合工信部《制造业数智化转型人才培养专项行动》要求，筹建制造业数智化转型人才培训中心。通过企业项目实践，解决校内教学与真实生产场景脱节的痛点，让学生在校积累项目实践经验，缩短岗位适应周期。同时联动行业协会，组织学生参与智能制造、工业机器人相关学科竞赛。
VII. Industry-University Cooperation. The program follows a two-way collaborative education model of “students entering enterprises and enterprises entering the university,” and maintains close cooperation with enterprises along Tianjin’s key industrial chains. Partner enterprises include Tianjin Rongcheng United Iron & Steel Group Co., Ltd., General-Technology-Group Tianjin No.1 Machine Tool Co., Ltd., Tianjin Motor Dies Co., Ltd., FAW-Volkswagen Automobile (Tianjin) Branch, Tianjin Tianduan Press Co., Ltd., Huahai Qingke Co., Ltd., Tianjin Bono Zhichuang Robot Technology Co., Ltd., Airbus (Tianjin) Final Assembly, Tianjin Aerospace Long March Rocket Manufacturing Co., Ltd., and others.
The program extensively carries out professional cognitive internship internships, enterprise production practice, enterprise-project practice, pre-employment placements, and integrated internship-graduation-design-employment programs. Enterprises are deeply involved in revising talent-development schemes, developing curricula and designing practical-training projects. Enterprise engineers undertake practical teaching and integrate authentic production orders and job-specific technical requirements into teaching content. In line with the requirements of the Ministry of Industry and Information Technology’s Special Action for Talent Development in the Digital and Intelligent Transformation of Manufacturing, the program is preparing to establish a talent training center for the digital and intelligent transformation of manufacturing. Through enterprise-project practice, the program addresses the gap between on-campus teaching and authentic production environments, enables students to accumulate project experience while at university, and shortens their adaptation period after entering the workplace. It also works with industry associations to organize student participation in academic competitions related to intelligent manufacturing and industrial robots.
八、就业面向与成效
本专业为新工科本科专业，毕业生面向高端装备、汽车、电子、机械、航空航天制造领域，就职于制造企业、智能制造系统集成商、高新技术企业，主要从事智能产线开发改造、智能装备调试、产品研发、智能制造系统集成、设备运维、生产项目管理等岗位。典型岗位为：
（1）智能装备工程师岗位；
（2）工业机器人系统集成调试工程师岗位；
（3）机器视觉应用工程师岗位；
（4）智能产线与数字化工厂系统集成工程师岗位；
（5）智能制造生产管理（MES/ERP）工程师岗位；
（6）智能制造工艺与设备运维工程师岗位。
2025 年国内智能制造行业人才缺口预计达 450 万人，人才市场需求旺盛。本专业年度计划招生 60 人，部分毕业生选择考研升学，多数毕业生直接就业，面向京津冀及全国相关制造企业就业。毕业生能够胜任智能装备调试、自动化产线改造、数字化工厂建设、工业软件实施、生产技术管理等工作；也可进入科研院所、职业教育机构从事技术研发与技术培训工作。
VIII. Career Opportunities and Outcomes. As a new-engineering undergraduate program, the program prepares graduates for careers in high-end equipment, automobile, electronics, machinery and aerospace manufacturing. Graduates may work for manufacturing enterprises, intelligent manufacturing system integrators and high-tech enterprises, mainly in intelligent production-line development and retrofitting, intelligent equipment commissioning, product research and development, intelligent manufacturing system integration, equipment operation and maintenance, and production project management. Typical positions include:
(1) Intelligent Equipment Engineer;
(2) Industrial Robot System Integration and Commissioning Engineer;
(3) Machine Vision Application Engineer;
(4) Intelligent Production Line and Digital Factory System Integration Engineer;
(5) Intelligent Manufacturing Production Management (MES/ERP) Engineer;
(6) Intelligent Manufacturing Process and Equipment Operation and Maintenance Engineer.
China’s intelligent manufacturing industry was projected to face a talent shortage of 4.5 million in 2025, indicating strong demand in the talent market. The program plans to enroll 60 students annually. Some graduates choose to pursue postgraduate study, while most enter employment directly in manufacturing enterprises in the Beijing-Tianjin-Hebei region and across China. Graduates are expected to be capable of intelligent equipment commissioning, automated production-line retrofitting, digital-factory construction, industrial software implementation and production technology management. They may also work in research institutes and vocational education institutions in technology research and development and technical training.
