Intelligent Medical Engineering is an emerging discipline characterized by a strong integration of science, engineering, and medicine. Centered around clinical needs, this field emphasizes the synergy between medicine and artificial intelligence, fostering innovation and translating new technologies into practical applications. The program aims to cultivate innovative, compound talents with a solid foundation in intelligent science and medical engineering. In alignment with the national strategies of Healthy China and Artificial Intelligence + Medicine, the program prepares students with strong engineering and medical ethics, humanistic and scientific literacy, commitment to the country, a global perspective, and an innovative mindset. Students acquire comprehensive knowledge in basic medicine, engineering, and intelligent science, along with practical skills for the design, development and application of intelligent medical sensing technologies and intelligent medical equipment. Graduates will be competitive, multidisciplinary professionals equipped with the skills needed for industry management and the R&D of intelligent medical equipment, serving in healthcare administration departments, large hospitals, and high-tech medical enterprises.
Curriculum System
This program emphasizes cultivating students' foundational theories and innovative practical skills. It focuses on key scientific areas such as intelligent medical sensing and intelligent medical robots in clinical medicine. The curriculum is designed around the integration of basic medicine, intelligent science, and other related disciplines.
1. Basic Courses:
Mathematical Analysis and Application, Linear Algebra, Probability Theory and Mathematical Statistics, Advanced Programming Language Design, Python Programming Design, Introduction to Intelligent Medical Engineering, Introduction to Medical Fundamentals, Introduction to Clinical Medicine, Physics, Engineering Graphics, etc.
2. Core Courses:
Fundamentals of Mechanical Design, Machine Learning, Signals and Systems, Electrical and Electronic Technology, Intelligent Medical Signal Processing and Applications, Deep Learning, Microcomputer Principles and Embedded Systems, Intelligent Medical Sensing and Control, Medical Machine Vision and Image Processing, etc.
3. Specialization Courses:
Medical and Engineering Ethics, Robotics, Brain-Machine Interface Technology, Intelligent Medical Equipment, Biomedical Sensing Materials, etc.
Employment Prospects
Leveraging the doctoral and master's programs in mathematical medicine, electronic information, and mechanical engineering, this major integrates bachelor's, master's, and doctoral degree training. It features an academic innovation mentoring system and small-class teaching, supported by resources such as the Medical Imaging Database Platform of the National Health Commission and the Artificial Intelligence Device Innovation and Cooperation Platform of the Center for Medical Device Evaluation of the National Medical Products Administration. These resources help establish a center for innovation in intelligent medicine and a training base for top innovative talent. The program aims to cultivate highly demanded professionals who can engage in industry management, R&D of intelligent medical equipment, and operation and maintenance of such equipment for healthcare administration departments, large hospitals, and high-tech medical enterprises.
Graduates are well-prepared to work in public institutions, hospitals, and medical device enterprises, focusing on the management, operation, and maintenance of medical equipment. They may pursue careers in R&D, production, and sales of intelligent medical sensing/device/equipment, as well as in medical information processing, and medical big data mining in medical device research institutes and related enterprises. Additionally, graduates have the opportunity to pursue advanced studies at universities and research institutes, both domestically and internationally, for master's and doctoral degrees, becoming highly qualified professionals in their fields.