University of Maryland, College Park
MS in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $43.1K in total tuition, the MS in Artificial Intelligence sits about 2% above the $42.4K average for AI master's programs in our database — placing it in the 64th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or related discipline) with a minimum GPA of 3.0. A strong background in mathematics, programming (Python preferred), and statistics is required; relevant professional experience is beneficial but not mandatory.
About This Program
The University of Maryland's MS in Artificial Intelligence draws on a top-ranked CS department and the university's proximity to Washington, D.C. — a concentration of federal agencies, defense, and research labs with heavy AI investment. The curriculum covers machine learning, NLP, and the foundations of modern AI.
Maryland's location gives students unusual access to government and defense AI roles, alongside a strong regional tech sector, making it a strategic choice for those targeting that market.
Why students choose it: Top CS department with unrivaled access to D.C.-area federal, defense, and research AI roles.
Career Outcomes
Advance as AI Ethics Specialist in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Product Manager
What You'll Learn
- Design, train, and optimize machine learning and deep learning models for real-world applications
- Apply generative AI techniques and large language models to solve complex business and research problems
- Implement ethical AI practices, including fairness assessment and bias mitigation
- Develop end-to-end AI pipelines and deploy AI systems in production environments
Curriculum Highlights
The 30-credit curriculum includes foundational mathematics, statistics, and computing, alongside specialized coursework in robotics, NLP, and explainable AI.
Top Employers
Top employers include Google, Meta, Microsoft, Amazon, OpenAI, Tesla, and major financial institutions and government research agencies investing in AI innovation.
Admissions
Applicants must hold a bachelor's degree in a quantitative field (computer science, mathematics, engineering, or related discipline) with a minimum GPA of 3.0. A strong background in mathematics, programming (Python preferred), and statistics is required; relevant professional experience is beneficial but not mandatory.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
- Portfolio or code samples: Optional but recommended
Academic Requirements
- Degree Required: Bachelor's degree in a quantitative field
- GRE/GMAT: Required (GRE preferred for STEM fields)
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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