Data Engineering MS

Master of Science in Data Engineering

A group of UW-Madison students in a classroom.

Is this program right for you?

The University of Wisconsin–Madison’s MS in Data Engineering prepares you to manage data at scale, ensuring efficient collection, storage, and processing. Leveraging UW–Madison’s top-ranked computer sciences program, the curriculum focuses on data management and computer sciences.

As a student you’ll have the opportunity to work collaboratively with peers and navigate diverse opinions, approaches and experiences — just as you will in your career.

Earn your degree in 3-4 semesters on campus
Our flexible curriculum allows you to customize your degree program to fit your personal objectives
As a graduate of the MS in Data Engineering program, you will be well-positioned for immediate employment across a variety of industries, including military, government, business and health care

Education that works for you

Develop specialized skills in building and maintaining robust data-handling systems to meet the growing demand for data engineers across all industries.

Program type

Master’s degree

Explore program types

Degree awarded

Master of Science in Data Engineering

Commitment

3-4 semesters

Tuition

$1,600 per credit

Format

Accelerated

Face-to-face

Credits

30 graduate credits

Admission terms

Program admits for fall term only

Offered by

College of Letters & Science

STEM opt eligible

Yes

Supports F-1 Visa

Yes

Learn more

Application deadlines

Fall 2026

Deadline: February 15, 2026

Fall 2027

Deadline: February 15, 2027

View UW–Madison’s Guide

Your questions, answered

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Admissions and events

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Results that work for you

Data Engineering MS

17th

UW–Madison graduate computer sciences programs were ranked 17th for Best Graduate Computer Sciences Programs in the latest U.S. News & World Report.

U.S. News & World Report

What you’ll learn

Prepare for a future in big data with the Data Engineering MS. You’ll gain expertise in core data engineering concepts like algorithms, big data systems, and machine learning while exploring the relationship between data and its human impact.

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