The Intelligent Manufacturing Engineering with Contemporary Entrepreneurialism BEng at Xi’an Jiaotong-Liverpool University (XJTLU) prepares you for engineering roles in intelligent manufacturing—where automation, data, and connected systems improve production quality and efficiency. Built through XJTLU’s Syntegrative Educational Model in partnership with Haier Group, the programme also develops entrepreneurial thinking so you can apply engineering skills to real industry challenges and innovation-led career paths.
The Intelligent Manufacturing Engineering with Contemporary Entrepreneurialism BEng program at Xi'an Jiaotong-Liverpool University (XJTLU) equips students with the skills necessary for engineering roles in intelligent manufacturing. This cutting-edge field leverages automation, data, and interconnected systems to enhance production quality and efficiency.
Developed in collaboration with the Haier Group, this program not only focuses on engineering principles but also fosters entrepreneurial thinking, enabling students to tackle real-world industry challenges and pursue innovation-driven career paths.
Programme structure
The BEng program begins with foundational engineering concepts and progressively advances to complex topics in intelligent manufacturing systems, data analytics, artificial intelligence applications, and modern production technologies. Students will also engage in entrepreneurship-focused courses that emphasize innovation and problem-solving in industrial contexts.
Core course areas include:
Artificial Intelligence and Data Analysis
Manufacturing Process Engineering
Customer-Oriented Mass Customization and Manufacturing System Planning (in partnership with Haier)
Additive Manufacturing
Sensors and Instrumentation
Learning outcomes
Utilize AI and data analysis for informed manufacturing and production decisions.
Design and assess manufacturing processes and intelligent production systems.
Implement instrumentation and sensing techniques for monitoring and control.
Recognize the role of modern manufacturing technologies, including additive manufacturing, within production workflows.
Cultivate entrepreneurial and innovation skills to leverage technology-driven opportunities.
Capstone project
The final year includes a capstone project or thesis, where students apply their knowledge to real-world scenarios. Specific requirements may vary, so it is advisable to confirm details with XJTLU admissions prior to application.
There are no specific GRE, GMAT, or GPA score requirements for this program. However, students should verify the latest academic criteria with the admissions office to ensure they meet all necessary qualifications.
Graduates of the Intelligent Manufacturing Engineering with Contemporary Entrepreneurialism program are well-positioned for diverse career opportunities in the manufacturing and engineering sectors. The combination of technical expertise and entrepreneurial skills prepares them for roles that involve innovation, process improvement, and strategic development in intelligent manufacturing environments.
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