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

Graduates will learn to build and deploy advanced AI systems, focusing on fairness, transparency, and seamless integration into professional contexts.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program consists of 10 courses covering machine learning, deep learning, ethics, and the interaction between AI and society.
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.

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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
36.0%
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.
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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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