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

International eligibility

Yes

Application deadlines

Fall 2025

Deadline: March 15, 2025

Fall 2026

Deadline: March 15, 2026

Fall 2027

Deadline: March 15, 2027

View UW–Madison’s Guide

Your questions, answered

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

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Admissions and events

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

December 4, 2024 from 12 p.m. to 12:30 p.m.

iSchool Master’s Programs

Learn strategies to make your application stand out, whether you are applying to the Information MS program or the Library & Information Studies MA program.

December 12, 2024 from 9 a.m. to 9:30 a.m.

Faculty Chat: Psychology: Data Science in Human Behavior

Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.

January 23, 2025 from 9:30 a.m. to 10:30 a.m.

Faculty Spotlight: Physics: Quantum Computing

Get a quick overview of the Physics: Quantum Computing MS program and connect with a couple of our faculty that will talk about their research activities.

February 4, 2025 from 9:30 a.m. to 10:30 a.m.

Application Assistance: Physics: Quantum Computing MS

Learn how to make your application stand out and to discuss issues regarding the application process. Current MSPQC students will join to share their program experience and answer questions you may have!

February 13, 2025 from 9 a.m. to 9:30 a.m.

Faculty Chat: Psychology: Data Science in Human Behavior

Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.

February 18, 2025 from 12 p.m. to 12:30 p.m.

Application Assistance: iSchool Master’s Programs

Learn strategies to make your application stand out, whether you are applying to the Information MS program or the Library & Information Studies MA program.

February 25, 2025 from 2 p.m. to 3 p.m.

Virtual Office Hours: Psychology: Data Science in Human Behavior

Join Enrollment Coach Emma Davis during virtual office hours to ask your questions about the MS in Psychology: Data Science in Human Behavior.

March 13, 2025 from 9 a.m. to 9:30 a.m.

Faculty Chat: Psychology: Data Science in Human Behavior

Join faculty from the MS in Psychology: Data Science in Human Behavior for an upcoming chat about the program.

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 →