MD

Master's in AI
On-Campus, Online

University of Maryland, College Park | MS in AI (Interdisciplinary Science Academy)

  • College Park


About This Program

This interdisciplinary degree prepares professionals to develop impactful AI solutions through a blend of technical expertise and human-centered perspectives.

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What You'll Learn
  • Design and implement machine learning systems using supervised and unsupervised learning techniques
  • Develop AI applications with consideration for safety, trustworthiness, ethics, and bias mitigation
  • Create human-centered AI systems that integrate with human capabilities and address user needs through participatory design approaches
  • Optimize computing systems and leverage hardware architectures (GPUs, multiprocessing) for efficient machine learning deployment
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Artificial Intelligence is a graduate degree focused on machine learning, data science, AI systems design, and human-centered AI development, typically completed in two years.
Typical Course Topics
1. Principles of Machine Learning 2. Principles of Data Science 3. Computing Systems for Machine Learning 4. Safe and Trustworthy AI 5. Human-Centered and Participatory Approaches to AI 6. Deep Learning and Neural Networks
Program Specializations:
Computer Vision
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science, mathematics, engineering, or a related quantitative field, with a minimum GPA of 3.0. Strong programming skills and coursework in linear algebra, calculus, and statistics are typically required or expected.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Required (GRE recommended for AI/ML programs)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

Thrive as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI Research Scientist: $125,000 Data Scientist: $115,000 AI Systems Architect: $135,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Meta, Amazon, OpenAI, and major tech companies, along with financial institutions and government research agencies investing in AI development.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
$ 43,120
Format
On-Campus, Online
Specializations
Computer Vision
Natural Language Processing (NLP)
Official Resources
Program Website
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