Engineering: Engineering Data Analytics MEng

Master of Engineering in Engineering

Is this program right for you?

A Master of Engineering in Engineering Data Analytics from UW–Madison prepares you to couple your engineering knowledge with analytics, allowing you to optimize, analyze and act on information. The online program covers data architecture, software, analytics, and data visualization, enhancing your engineering and leadership skills.

The program is completely online, so you can earn your degree without disrupting your life
Flexible curriculum: complete a 15-credit core curriculum in data analytics and 15 elective credits that span other online engineering and professional development courses
U.S. News & World Report consistently ranks UW–Madison’s online engineering programs among the best in the nation

Education that works for you

Work online at your own pace. Answer complex questions and understand the entire flow of data, from collection to storage and analytics to decisions.

Program type

Master’s degree

Explore program types

Degree awarded

Master of Engineering in Engineering

Commitment

2–3 years

Tuition

$1,300 per credit

Format

Online

Credits

30 graduate credits

Admission terms

Program admits for Fall, Spring, and Summer terms

Offered by

College of Engineering

STEM opt eligible

Yes, restrictions apply

International eligibility

Yes, with restrictions.

Application deadlines

Summer 2025

Deadline: May 1, 2025

Fall 2025

Deadline: July 1, 2025

Spring 2026

Deadline: November 1, 2025

View UW–Madison’s Guide

Your questions, answered

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Admissions and events

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

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Results that work for you

Engineering: Engineering Data Analytics MEng

25 years

of delivering interactive online education

#9

graduate ranking among U.S. public universities

U.S. News & World Report, 2024

What you’ll learn

Translate data into action with the Engineering: Engineering Data Analytics MEng program. You’ll learn to manage and analyze data using industry-standard tools while developing the technical and project management skills to make data-driven decisions that optimize engineering projects.

For complete curricular details visit UW-Madison’s Guide →

Database design and management
Technical project management
Computing architectures
Data driven decision making

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