MI

Master's in AI
On-Campus, Online

University of Michigan‑Flint

MS in Artificial Intelligence

  • Flint
About This Program

This graduate program focuses on real-world applications of artificial intelligence through team-based projects and research. It is accessible to students with diverse undergraduate backgrounds.

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What You'll Learn

Students gain advanced knowledge in deep learning, natural language processing, and robotic systems. They also learn to design and test AI software using modern development practices.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 32-credit curriculum consists of core courses in machine learning and software engineering. Students choose concentrations such as Smart Manufacturing, AR/VR, or Robotics and Human-Centered Design.
Typical Course Topics
1. AI Fundamentals and Theory 2. Machine Learning Algorithms 3. Deep Learning and Neural Networks 4. Natural Language Processing 5. Computer Vision 6. AI Ethics and Societal Impact
Program Specializations:
MLOps/AI Engineering
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 field with a minimum GPA of 3.0 and preferably some background in programming and discrete mathematics. GRE scores are typically required or recommended for competitive admission.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE/GMAT: Required or Recommended
• 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

Position as AI Engineer in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
AI/Machine Learning Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
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 in the AI field include major technology companies such as Google, Microsoft, Amazon, IBM, and specialized AI firms, as well as financial services, healthcare, and manufacturing organizations implementing AI solutions.
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Program Details
Duration
  • 2 Year
Tuition
  • 28,200
Format
On-Campus, Online
Specializations
MLOps/AI Engineering
Official Resources
Program Website
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