University of Michigan‑Ann Arbor
MEng in Data Science and Machine Learning
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $34.8K in total tuition, the MEng in Data Science and Machine Learning sits roughly 18% below the $42.4K average for AI master's programs in our database — placing it in the 54th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, and statistics.
About This Program
Michigan's MEng in Data Science and Machine Learning (Ann Arbor) is an engineering-focused professional master's from one of the country's premier public universities. It emphasizes applied ML systems, data engineering, and production-oriented skills.
The program draws on Michigan's deep engineering resources and a strong national alumni network, suiting engineers who want a rigorous, build-focused data science credential.
Why students choose it: Engineering-focused, production-oriented ML from a premier public university.
Career Outcomes
Excel as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. AI Research Scientist
- 4. Data Analytics Manager
What You'll Learn
- Design and implement machine learning models for predictive analytics
- Analyze large-scale datasets using advanced statistical techniques
- Apply deep learning to computer vision and natural language tasks
- Develop scalable data pipelines for real-world applications
Curriculum Highlights
The highly structured program requires 26 credits, emphasizing hands-on projects and design. The curriculum includes core courses in estimation, filtering, and detection alongside technical electives and leadership training.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and consulting firms like McKinsey and Deloitte.
Admissions
A bachelor's degree in computer science, mathematics, engineering, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, calculus, 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 80+ / IELTS 6.5+)
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