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
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
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
Your questions, answered
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Admissions and events
Program requirements
Application materials required
There are no upcoming events at this time.
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.
- Database design and management
- Technical project management
- Computing architectures
- Data driven decision making
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