University of Michigan‑Flint

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, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.

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.

Career Outcomes

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

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

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to image and language data
• Evaluate ethical implications and societal impacts of AI systems
• Develop AI solutions using reinforcement learning and optimization

Curriculum Highlights

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.

Top Employers

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

Admissions

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

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 80+ / IELTS 6.5+)