Introduction
Xinwei Institute of Artificial Intelligence is an AI-focused college jointly established by Geely Holding Group and Xinwei Technology. Serving national AI strategy and regional industrial upgrading, it upholds industry-education integration, university–enterprise collaboration, and practice-oriented education. Drawing on leading industry technology and resources, it builds a future-ready new engineering talent system. Focused on autonomous driving, intelligent cockpit, and other AI frontiers, the institute cultivates application-oriented graduates with solid foundations, strong engineering practice, and innovative spirit—supporting high-quality development of the AI industry.
Distinctive Strengths: Three Core Competencies
First competency : With AI support, accelerating foundational scholarship and multidisciplinary academic capability.
Second competency : With AI support, translating disciplinary knowledge more directly into applied scenario competence.
Third competency : With AI support, building capacity to take on projects, organize delivery, and solve problems.
Educational Philosophy
Rooted in pioneering spirit, grounded in solid execution, and driven by speed and efficiency, our philosophy centers on three dimensions—competency development, curriculum delivery, and closed-loop assessment—across the full four-year journey.
Full AI Integration
Through the Xinwei education platform, AI-empowered courses reach 100% coverage. Learning is primarily online via Xinwei (70%), complemented by faculty lectures and offline tutoring (30%).
Full Project Orientation
Project-based teaching bridges courses and practice, emphasizing real tasks, real scenarios, and real standards to build practical skills and job readiness. The curriculum requires a three-level project system (L1–L3), with L3 projects lasting 24–36 weeks.
Industry-Education Integration
A four-dimensional model—project orientation, curriculum redesign, university–enterprise collaboration, and outcome commercialization—deeply integrates real Geely business scenarios with teaching. All course content aligns 100% with Geely's operational contexts.
Project-based teaching is not an isolated method—it is the institutional vehicle for cultivating the three competencies. The framework of three campuses, three mentor types, and three competencies articulates Geely's systematic approach to AI-era talent development.
Three Campuses, Boundless Learning
Students share a unified "three-campus" boundless learning space, deeply integrating physical and digital environments to support talent development comprehensively:
Global University Cross-Regional Collaboration
Based at University of Sanya, students complete general education and foundational studies, building solid academic and engineering literacy.
Industry-Education Cross-Boundary Collaboration
Beyond geographic limits—students learn across Geely R&D centers and industry sites, honing engineering skills in real production settings.
Online-Offline Cross-Channel Collaboration
Powered by the Xinwei digital platform and AI agents, a 24/7 virtual learning space with personalized AI mentorship throughout.
Competency Development Framework
Competency goals span two layers—structural formation and targeted positioning—covering everything from foundational thinking to applied capability:
Structural Formation (Foundational Thinking)
- Scholarly thinking —Solid disciplinary foundations and systematic theoretical frameworks
- Hands-on thinking —Strengthened practical delivery aligned with real project scenarios
- Critical & creative capacity —Independent thinking and breakthrough innovation
- Value architecture —Professional expression and logical structure for academic presentations and thesis defenses
Targeted Positioning (Applied Competencies)
- Core disciplinary scholarship —Undergraduate-level foundational academic training
- Professional knowledge & skills —Project-driven knowledge application and "1+X" transferable professional learning
- Project practice & delivery —Full-cycle project articulation, advancement, and management