MasterOn-CampusFull-Time

University of Michigan‑Ann Arbor

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

Ann Arbor, Michigan1 years$29K total tuition
Visit Program Website ↗

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.

Est. Salary$120,000 Machine Learning Engineer
Job Growth+36%
Top RoleData Scientist
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1 year
Est. Tuition
$29K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Required
Concentrations
Data Science & Intelligent Systems, AI Engineering / Applied AI

Typical admitted student: 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.

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.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Systems Engineer
  • 4. Data Analytics Specialist

What You'll Learn

  • Design and implement machine learning models for predictive analytics and decision-making.
  • Apply deep learning techniques to process unstructured data like images and text.
  • Analyze large-scale datasets using statistical methods and data mining.
  • Build scalable AI systems for real-world engineering 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 tech giants like Google, Amazon, Microsoft, and consulting firms such as McKinsey and Deloitte.

Admissions

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.

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+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.