University of Michigan‑Dearborn

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and background in probability and statistics.

About This Program

This program offers a comprehensive study of artificial intelligence theory and practice for researchers and industry leaders. It prepares students to create innovative devices and software using AI.

Career Outcomes

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

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. AI Research Scientist

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to image and language data
• Develop AI systems using probability, statistics, and optimization
• Solve complex problems with neural networks and intelligent algorithms

Curriculum Highlights

The 30-credit curriculum includes foundation courses in algorithm design and software engineering. Students must choose a concentration in Computer Vision, Intelligent Interaction, Knowledge Management, or Machine Learning.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and background in probability and statistics.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.5+)