Engineering: Engineering Data Analytics MEng

Master of Engineering in Engineering

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Is this program right for you?

Engineers across industries must turn data into actionable insights. This flexible online program gives you the tools to analyze, visualize, and act on complex data. Build in-demand skills in machine learning, predictive modeling, and engineering data analytics—on a schedule that supports your career, your family, or both.

  • Participate in an interactive online learning experience built for working engineers
  • Network with peers, faculty, and industry professionals to extend learning beyond the classroom
  • Customize your path with electives in leadership, manufacturing, sustainability, or AI
  • Gain hands-on experience applying data analytics in engineering systems

Education that works for you

Advance your career without pausing it. Our flexible online format lets you balance work, life, and learning while gaining the skills employers want—from predictive analytics to data visualization to decision-making under uncertainty.

Program type

Master’s degree

Graduate education in a specific area of expertise

Explore program types

Degree awarded

Master of Engineering in Engineering

Commitment

2–3 years

Tuition

$1,100 per credit, with an automatic $100 per-credit Wisconsin Resident Scholarship.

Format

Online

Primarily online

Credits

30 graduate credits

Admission terms

Program admits for Fall, Spring, and Summer terms

STEM opt eligible

Yes, restrictions apply

Supports F-1 Visa

Application deadlines

Fall 2026

  • Deadline: July 1, 2026

Spring 2027

  • Deadline: November 1, 2026

Summer 2027

  • Deadline: May 1, 2027
View UW–Madison’s Guide

Your questions, answered

Have questions? Fill out this form and we’ll get in touch!

I have a family and a full-time job, so I wasn’t ever sure I was going to be able to find an opportunity to pursue my master’s degree. The professors have been great. They put in a lot of effort. I wanted to be part of the community here, and I wanted to further my education. I’m a big believer in continuing education. I’m glad I was able to find the opportunity.

Dave McCabe

Admissions and events

Program requirements

All applicants must:

  • Have a Bachelor of Science in engineering or a related STEM field from an accredited institution
  • Have a minimum undergraduate GPA of 3.0 on the last 60 credits of degree
  • Submit evidence of English language proficiency, if applicable. See the Graduate School Requirements for more information
  • GRE is not required. Applicants who have taken the test are encouraged to submit their scores

 

The admissions committee considers exceptions to standard requirements on an individual basis. 

Application materials required

  • Online application
  • Resume/CV
  • Essay
  • Transcripts
  • Two letters of recommendation

For complete application details visit UW–Madison’s Guide →

June 9, 2026 from 12 p.m. to 12:30 p.m.

Live Webinar: Online Engineering Graduate Programs Overview

Join program staff to learn more about the online engineering graduate programs including master’s and capstone certificate options.

Register now →

July 14, 2026 from 5 p.m. to 5:30 p.m.

Live Webinar: Online Engineering Graduate Programs Overview

Join program staff to learn more about the online engineering graduate programs including master’s and capstone certificate options.

Register now →

August 11, 2026 from 12 p.m. to 12:30 p.m.

Live Webinar: Online Engineering Graduate Programs Overview

Join program staff to learn more about the online engineering graduate programs including master’s and capstone certificate options.

Register now →

Results that work for you

Engineering: Engineering Data Analytics MEng

27 years

of delivering interactive online education

#9

ranking in Online Graduate Engineering Programs (Industrial)

U.S. News & World Report, 2026

Enhance your AI skills

with an optional 9-credit graduate certificate in Artificial Intelligence for Engineering Data Analytics, available to students in our online engineering master’s programs

What you’ll learn

This engineering data analytics program combines machine learning, predictive analytics, and visualization with leadership and communication skills. You’ll learn to apply theory to practice—turning complex engineering data into clear, actionable insights. 

For complete curricular details visit UW-Madison’s Guide →
  • Machine learning and predictive analytics
  • Data science and statistical modeling
  • Data visualization tools and techniques
  • Database design and management
  • Programming for engineering applications
  • Leadership and project management
  • Communicating technical insights to stakeholders
  • Applying data analytics to engineering systems

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Summer 2026

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Credits

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Credits

30 graduate credits

Modality

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View program
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