Bachelor of Science in Artificial Intelligence
Bachelor of Science in Artificial Intelligence provides systematic undergraduate preparation in Artificial Intelligence. This field covers machine learning, deep learning, large models, intelligent systems, and AI engineering applications, developing data modeling, algorithm implementation, system integration, and responsible AI capability.
Program Positioning
The bachelor's program provides full undergraduate preparation with emphasis on professional theory, laboratory practice, integrated design, and standard communication. This field covers machine learning, deep learning, large models, intelligent systems, and AI engineering applications, developing data modeling, algorithm implementation, system integration, and responsible AI capability.
Machine Learning Foundations
Study supervised learning, unsupervised learning, feature engineering, model training, and performance evaluation.
Deep Learning and Large Models
Understand neural networks, deep learning frameworks, natural language processing, computer vision, and large-model applications.
Data and Intelligent Systems
Practice data collection, cleaning, annotation, knowledge representation, intelligent application design, and system integration.
AI Engineering and Ethics
Develop skills in model deployment, testing, monitoring, privacy protection, algorithmic bias, and responsible AI practice.
Learning Objectives
Study and Completion Requirements
- Complete general education, major core courses, electives, and practical learning components.
- Develop applied capability through course design, laboratory work, case analysis, or engineering projects.
- Complete a capstone design, thesis, or equivalent integrated academic and practical outcome.