MI

Master's in DS/DA
On-Campus

University of Michigan‑Ann Arbor

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. Machine Learning Algorithms 2. Deep Learning 3. Big Data Analytics 4. Statistical Methods for Data Science 5. Data Mining and Visualization 6. Natural Language Processing
Program Specializations:
Machine Learning
Computer Vision
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
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

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

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

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. Data Scientist 2. Machine Learning Engineer 3. AI Research Scientist 4. Data Analytics Manager
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and consulting firms like McKinsey and Deloitte.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 34,830
Format
On-Campus
Specializations
Machine Learning
Computer Vision
Official Resources
Program Website
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