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AI at UMD
Research Curriculum
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Research Curriculum

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.

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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

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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

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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.

See all classes
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Applied Mathematics & Statistics, and Scientific Computation

Advanced Topics in Applied Mathematics; Machine Learning for Scientific Computing

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Atmospheric & Oceanic Science

Neural Networks for the Physical Sciences

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Architecture

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

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Agriculture & Resource Economics

Harvesting Big Data to Examine Agriculture and Climate Change

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Arts & Humanities

Studies in Humanities Technology; Machine Learning in Language and Art

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Biochemistry

Biomolecular Measurement and Data Analysis

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Business and Management

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

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Business

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

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Criminology & Criminal Justice

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

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Computer Science

Introduction to Natural Language Processing

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Computer Science

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

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Geographical Sciences

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

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Health Services Administration

Advanced Empirical Methods in Health Services Research

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Immersive Media Design

Special Topics in Immersive Media; Creative Experiments with AI

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Information Science

Big Data Infrastructure

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Quantum Computing

Quantum Computing Architectures and Algorithms

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