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
  • 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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MEng in Data Science and Machine Learning is a one-year professional master's program focused on advanced statistical modeling, machine learning algorithms, and data-driven decision-making.
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.

Check Application Deadlines
Career Opportunities in AI

Excel 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%
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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