MI

Master's in DS/DA
On-Campus

University of Michigan‑Ann Arbor

Master of Engineering (MEng) in Data Science and Machine Learning

  • Ann Arbor
About This Program

This professional graduate degree is designed for engineers seeking to enter industry with specialized technical expertise. It focuses on the theory and practice of modern sensing and decision systems.

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What You'll Learn

Students learn to apply machine learning and data science to engineered systems for control and inference. They develop skills for computational reasoning about large-scale complex systems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
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.
Typical Course Topics
1. Introduction to Machine Learning 2. Deep Learning 3. Statistical Learning and Data Mining 4. Natural Language Processing 5. Data Intensive Computing 6. Computer Vision and Image Processing
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in engineering, computer science, mathematics, or a related quantitative field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages and coursework in linear algebra, calculus, probability, and statistics.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• 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

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

Estimated Industry Salary
Data Scientist: $120,000 Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Data Scientist 3. AI Systems Engineer 4. Data Analytics Specialist
Top AI Employers (Industry-Wide):
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 29,100
Format
On-Campus
Specializations
Official Resources
Program Website
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