Master of Mathematical Medicine
Development Goals
The program focuses on developing students’ humanistic literacy, and the global outlook for academic research coupled with sound professional knowledge. It aims to prepare high-level innovative compound talents competent in teaching and R&D on mathematical medicine.
Research Areas
Mathematical medicine is an emerging interdisciplinary subject integrating mathematics, computer science, biology and medicine, which focuses on solving major scientific challenges in precision image analysis and intelligent diagnosis & treatment. On the foundation of level-1 subjects, including mathematics, computer science & technology, and electronic information, the college offers degree programs in the following interdisciplinary research focus areas:
1) Cutting-edge Mathematical Theory and Algorithms in Medical Imaging
2) Mathematical and Statistical Methods for Intelligent Diagnosis
3) Precision Diagnosis & Treatment Based on Models and Medical Big Data
4) Intelligent System and Sensing of Medical Equipment
Curriculum
The curriculum consists of general degree courses, basic professional courses, professional core courses, professional elective courses, supervision training, and other degree requirements, which adopts the credit system. The basic professional courses include modern numerical analysis, principles and methods of mathematical medicine, artificial intelligence and machine learning, and biomedical physics. The professional core courses include biomathematics, modern digital signal processing, medical imaging principles and equipment, and surgical robotics & intelligent control. The professional elective courses include geometric deep learning, robotics, and intelligent sensing.
Master of Biomedical Engineering
Biomedical Engineering is a comprehensive discipline integrating knowledge from biomedicine, information technology, and engineering. It showcases rich disciplinary depth in areas such as medical image analysis and processing and digital medical devices. In medical image analysis and processing, biomedical engineering employs mathematical theories and optimization algorithms to enhance medical image resolution and diagnostic accuracy through advanced analysis techniques. The field is dedicated to developing efficient algorithms that extract critical information from complex medical images, providing doctors with a more accurate basis for diagnosis and advancing the field of medical imaging. In digital medical devices, Biomedical Engineering focuses on the development and application of medical sensing, monitoring, and equipment. Innovative sensing technologies enable real-time monitoring and precise analysis of patient's physiological parameters. Intelligent medical devices further improve the efficiency and quality of healthcare services, enhancing diagnostic accuracy and treatment outcomes, while ensuring a more comfortable and safer experience for patients.
The College of Mathematical Sciences offers a professional master’s program in Biomedical Engineering under the Level-1 discipline of Electronic Information. The main research areas include medical image analysis and processing, and digital medical devices. For detailed admission information for 2025, please refer to the official website of the Graduate School under the College of Mathematical Sciences (Biomedical Engineering code: 085409).