Remote Sensing Science and Technology (Space Intelligence)

Core Courses

The core courses cover advanced mathematics, linear algebra, college physics, introduction to space artificial intelligence, geographic information science, and an introduction to remote sensing. The professional compulsory courses include an overview of low-altitude economy, autonomous navigation and control of low-altitude aircraft, environmental remote sensing and artificial intelligence, deep learning and large models, etc., which enhance the ability of low-altitude technology and intelligent analysis. Elective courses include time-space big data analysis, computer vision and edge computing, etc., to expand the application directions of cutting-edge technologies and improve the ability to solve practical problems.

Employment Directions

At present, there is an extremely high demand for industry professionals in the field of space intelligence in China. Graduates can take on core technology research and development, system design or management work in the aerospace and low-altitude economy industrial chain. Specific directions include:

(1) Research and Education: Engage in research on space artificial intelligence and low-altitude economy theories at domestic and foreign universities and research institutions; 

(2) High-tech Enterprises: Join enterprises in fields such as aerospace, low-altitude logistics, and remote sensing big data analysis (such as China Aerospace Science and Technology Corporation, DJI, Huawei, China Unicom, etc.) and participate in the research and development of key technologies;

(3) Government and Public Services: Providing planning and decision-making support for departments such as natural resource management, emergency disaster reduction, and smart cities;

(4) Further Education and International Development: Pursue a master's or doctoral degree in fields such as spatial information science, artificial intelligence, low-altitude system management, and remote sensing science, or participate in international joint research projects.