Remote Sensing Science and Technology (Spatial Intelligence)

Educational Objectives

This program aligns with the national strategy for spatial intelligence and low-altitude economic development, aiming to cultivate interdisciplinary talents with a solid foundation in spatial intelligence theory and practical skills in remote sensing technology. Through industry-academia collaborative training, students will master skills in spatial data acquisition, intelligent analysis, and integration of low-altitude drone systems, becoming high-level professionals capable of scientific research innovation and solving complex engineering challenges in both R&D and management.

Professional Characteristics

(1) Deep Integration of Industry-Academia-Research: Collaborate with industry leaders such as Huawei, China Unicom, and China Jing An Corporation to establish joint laboratories, technology transformation centers, and practical bases. Through the dual-mentor system, achieve seamless connection between talent cultivation and industrial demands.

(2) Cross-Disciplinary Innovation: Integrate disciplines such as spatial information technology and artificial intelligence to cultivate students' cross-border application capabilities in areas such as remote sensing data processing, unmanned aircraft system development, and low-altitude economic model construction.

(3) Internationalized Training Pathway: Introduce international cutting-edge courses from renowned universities in developed countries, organize academic exchange activities, and encourage students to participate in global space artificial intelligence cooperation projects to enhance international competitiveness.