M.S. in Artificial Intelligence Curriculum Explore AI Course Descriptions and Degree Requirements Request More Info Apply Now Attend an Info Session Contact Us Artificial Intelligence Biotechnology Computer Science Cybersecurity Data Analytics and Visualization Digital Marketing and Media Mathematics Nursing Occupational Therapy Physician Assistant Physics Speech-Language Pathology Curriculum Overview The 36-credit M.S. in AI delivers a rigorous foundation in modern AI, preparing graduates to build and deploy intelligent systems transforming industry. From foundational math and ML, students advance into NLP, Computer Vision, and Reinforcement Learning, with experience in GPU-accelerated architectures, transformer-based models, multimodal reasoning and AGI. The curriculum covers intelligent database systems and scalable data infrastructures supporting real-time inference, semantic retrieval and complex AI workflows. View Degree Requirements About the Coursework Courses in Advanced Data Engineering, AI Product Studio, and AI Safety and Security prepare graduates to work with LLMs, retrieval-augmented generation (RAG), agentic AI systems, and AI-augmented software engineering. A multidisciplinary approach bridges AI with healthcare, robotics, finance, and business through responsible AI principles and secure multi-agent systems. A capstone synthesizes it all into original research, industry collaboration, or a deployable AI solution. Course Descriptions | Sample Course Sequence Special Topics Courses Special Topics courses keep the curriculum at the frontier. Current offerings include Modern Intelligent Database Systems, Foundations and Practice of Effective Coding with AI, AI for Extended Reality: Digital Twins and Spatial Intelligence, Model Context Protocol for AI Agents, AI Safety and Security, and The Future of Work and Collaboration with AI.
