University of Michigan‑Ann Arbor

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, or a related field with a minimum GPA of 3.0-3.5 is required, along with programming experience and prerequisite coursework in data structures, algorithms, and calculus.

About This Program

This program is intended for students looking to substantially advance their technical knowledge in computer science and engineering. It offers a flexible path for both professional development and doctoral preparation.

Career Outcomes

Thrive as Machine Learning Engineer in Cross-Industry AI with algorithm design expertise

• 1. Software Engineer
• 2. Machine Learning Engineer
• 3. Systems Architect
• 4. Research Scientist

What You'll Learn

• Design and analyze complex algorithms and data structures
• Develop scalable software systems and applications
• Build and optimize computer architectures and networks
• Apply machine learning to real-world problems

Curriculum Highlights

The 30-credit curriculum allows for a thesis or coursework-only option. Requirements include core graduate-level CSE courses with electives across AI, theoretical computer science, and hardware systems.

Top Employers

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

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0-3.5 is required, along with programming experience and prerequisite coursework in data structures, algorithms, and calculus.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 84+ / IELTS 6.5+)