Programs & Curriculum
Through the integration of cutting-edge research and an innovative curriculum, the University of Maryland offers an unparalleled educational experience in AI. We provide students from all majors with exposure to AI courses, ensuring they are well-versed in the latest developments and applications. This combination of research and education positions our students to be leaders in the AI landscape, ready to tackle future challenges and embrace the opportunities.

New M.S. in Artificial Intelligence
The Master of Science in Artificial Intelligence will combine technical courses in the fundamentals of AI and courses that address the interaction between AI and humans and society.
TOP 5
doctorate producer in Artificial Intelligence
National Bureau of Economic Research

7 Proposals for AI-Focused Courses Awarded New Grants
Funds Administered by AIM to Support Classes in Arts and Humanities, Public Health, Behavioral and Social Sciences, and Information Science

Developing an AI-ready Workforce
The University of Maryland is at the forefront of developing an AI-ready workforce. By partnering with federal, state and industry leaders, we are equipping individuals with the skills and knowledge necessary to apply rapidly evolving artificial intelligence technologies across multiple sectors. This collaborative effort ensures our graduates are prepared to lead and innovate in a world increasingly driven by AI.
AI-Related Courses
A sampling of AI-related courses that have been offered or are currently being offered. New programs are being developed all the time. All images from Google DeepMind.

Applied Mathematics & Statistics, and Scientific Computation
Advanced Topics in Applied Mathematics; Machine Learning for Scientific Computing

Atmospheric & Oceanic Science
Neural Networks for the Physical Sciences

Architecture
Selected Topics in Architectural Technology; The future of Sustainability:Human-centered Design, Emerging Technologies, and Artificial Intelligence

Agriculture & Resource Economics
Harvesting Big Data to Examine Agriculture and Climate Change

Arts & Humanities
Studies in Humanities Technology; Machine Learning in Language and Art

Biochemistry
Biomolecular Measurement and Data Analysis

Business and Management
Emerging Topics in Information Systems; Big Data and AI using Cloud Computing

Business
Special Topics in Business; Big Data and Artificial Intelligence for Business

Criminology & Criminal Justice
Seminar in Criminology and Criminal Justice; Applications of Data Science in Criminology

Computer Science
Introduction to Natural Language Processing

Computer Science
Advanced Topics in Information Processing; Fantastic Machine Learning Paradigms and Where to use Them

Geographical Sciences
Selected Topics in GIS; Machine Learning for Computational Earth Observation Science

Health Services Administration
Advanced Empirical Methods in Health Services Research

Immersive Media Design
Special Topics in Immersive Media; Creative Experiments with AI

Information Science
Big Data Infrastructure

Quantum Computing
Quantum Computing Architectures and Algorithms
Partner with UMD
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