BS in Artificial Intelligence Engineering (Proposed)
Duke University
This proposed undergraduate concentration within the computer science major focuses on the foundational principles and engineering applications of artificial intelligence.
What You'll Learn
⢠Design and implement machine learning models using supervised and unsupervised learning techniques ⢠Develop deep learning systems for image recognition, natural language understanding, and autonomous decision-making ⢠Apply AI ethics frameworks to address bias, transparency, and responsible deployment of intelligent systems ⢠Translate AI research into practical engineering solutions for industry applications and product innovation
Typical Courses
1. Machine Learning and Neural Networks 2. Deep Learning and Computer Vision 3. Natural Language Processing 4. AI Systems Design and Architecture 5. Reinforcement Learning 6. Ethics and Responsible AI Development
Career Paths
1. Machine Learning Engineer 2. AI Research Engineer 3. Data Scientist 4. AI Product Manager
AI/Machine Learning Engineer: $125,000 Data Scientist: $110,000 AI Systems Architect: $135,000 Product Engineer (AI/ML): $118,000