Northwestern’s pioneering BS in Artificial Intelligence trains students to design, deploy, and critique intelligent systems. A rigorous core covers probabilistic reasoning, deep learning, and reinforcement algorithms, while ethics seminars interrogate fairness, privacy, and societal impact. Industry-sponsored projects pair undergraduates with medical-imaging startups or autonomous-vehicle teams, and a human-AI design studio emphasizes user-centered innovation. Graduates secure roles as ML engineers, AI policy analysts, and tech founders.
Develop a multimodal emotion-recognition model using vision and audio streams
Design explainable AI dashboards for clinical decision support in radiology
Train reinforcement-learning agents for energy-efficient smart-building control
Analyze bias propagation in large language models and propose mitigation
Build a social-robot prototype facilitating language practice for children
Create a federated-learning framework for privacy-preserving health analytics
Implement neural-network pruning techniques for edge-device deployment
Study human trust calibration with autonomous-vehicle handoff simulations
Develop a legal-AI tool summarizing court opinions into plain language
Research adversarial attacks on conversational agents and defense strategies
Prototype a deep-fake detection algorithm for journalistic verification
Build a generative design pipeline for lightweight aerospace components
Compare active-learning query strategies in low-resource image datasets
Write policy guidelines for municipal use of facial-recognition technologies
Design a game-AI opponent adapting tactics via meta-reinforcement learning
Engineer responsible, cutting-edge AI solutions with Northwestern’s interdisciplinary program.
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