The School of Computer Science and Technology aligns with the university’s overall development plan, thoroughly responds to the innovation-driven demands of cutting-edge industries, and forges ahead steadily toward building a discipline of domestic first-class standing and important international influence. It pursues a differentiated and distinctive path of disciplinary development.
Guided by major national strategies and driven by industrial development needs, the School concentrates efforts on three major priorities: enhancing teaching quality, consolidating research platforms and assembling high-quality talents, and focuses on conquering key core technologies in the field of artificial intelligence.
With artificial intelligence as its main research orientation, the School conducts in-depth research in digital twins, embodied intelligence, intelligent chips and other fields, and expands into interdisciplinary tracks including industrial intelligence and humanoid robots. For disciplinary development, it optimizes disciplinary structures and improves curriculum systems to boost interdisciplinary integration and comprehensively enhance the research and innovation capabilities of faculty and students. Centered on computer science (CS) and artificial intelligence, the School collaborates with smart-manufacturing-related disciplines such as electronics and embedded systems (EE), mechanical control and new materials, providing comprehensive support for the research, development and application of humanoid robot technologies.
The School has 12 full-time independent Principal Investigators (PIs), among whom are 3 chair professors, 4 professors and 5 assistant professors, all with overseas study or work experience. The undergraduate program of Computer Science and Technology has been approved. Furthermore, the School has set up multiple practical teaching platforms including the Robot Innovation Studio and the Artificial Intelligence Training Studio, and built a number of domestically advanced specialized laboratories and training bases, laying solid hardware foundations for the high-quality implementation of innovative practical teaching.

Copyright 2025 School of Computer Science and Technology, Eastern Institute of Technology, Ningbo
ICP License No.: Zhe ICP Bei 2023015999
Public Security ICP License No.: 33021102001146
Email: cs@eitech.edu.cn
