Engineering Data Analytics

Master of Engineering in Engineering

Laptop graphic

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


Is this program right for you?

The amount and speed of data just keeps increasing—across every industry and in every sector. A Master of Engineering in Engineering Data Analytics from the University of Wisconsin–Madison ensures that you are the person leadership relies on to optimize, analyze, and act on that information.

Integrating sources and sensors, data architecture, software, analytics, and data visualization in one degree, UW’s Engineering Data Analytics master’s program also supplements your existing engineering expertise and builds your project management and leadership skills. Work with instructors and peers across a wide array of disciplines to understand the entire flow of data, from collection to storage, analysis to decisions. You complete core classes in data analytics and then drill down in electives based on your engineering field or interests.

Every course is different because every class is different. Your classmates may work down the hall, at your competitor’s business, or around the world—and they come from varied engineering backgrounds. You each bring real-world challenges from your workplace into the classroom to examine and practice together.

The online atmosphere is cooperative and interactive, so while you learn to couple your engineering knowledge with analytics, you also learn how to work collaboratively and remotely. Additionally, our instructors understand the challenges you face when working online while maintaining your current responsibilities at your job and in life. We support you throughout your education so you stay engaged and on track to complete your degree, no matter what your timeline.

Is this program right for you?

The amount and speed of data just keeps increasing—across every industry and in every sector. A Master of Engineering in Engineering Data Analytics from the University of Wisconsin–Madison ensures that you are the person leadership relies on to optimize, analyze, and act on that information.

Integrating sources and sensors, data architecture, software, analytics, and data visualization in one degree, UW’s Engineering Data Analytics master’s program also supplements your existing engineering expertise and builds your project management and leadership skills. Work with instructors and peers across a wide array of disciplines to understand the entire flow of data, from collection to storage, analysis to decisions. You complete core classes in data analytics and then drill down in electives based on your engineering field or interests.

Every course is different because every class is different. Your classmates may work down the hall, at your competitor’s business, or around the world—and they come from varied engineering backgrounds. You each bring real-world challenges from your workplace into the classroom to examine and practice together.

The online atmosphere is cooperative and interactive, so while you learn to couple your engineering knowledge with analytics, you also learn how to work collaboratively and remotely. Additionally, our instructors understand the challenges you face when working online while maintaining your current responsibilities at your job and in life. We support you throughout your education so you stay engaged and on track to complete your degree, no matter what your timeline.

Admissions requirements

All applicants must:

  • Have a bachelor of science degree from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or the equivalent. International applicants must have a degree comparable to an approved U.S. bachelor’s degree.
  • Have a minimum undergraduate grade point average (GPA) of 3.0 on the equivalent of the last 60 semester hours (approximately two years of work) OR a master’s degree with a minimum cumulative GPA of 3.0. All GPAs are based on a 4.0 scale; exceptions are considered.
  • For applicants whose native language is not English, you must have a minimum score of 243 on the Test of English as a Foreign Language (TOEFL) iBT or 580 on the PBT.
  • GRE is not required. Applicants who have taken the test are encouraged to submit their scores.
  • Exceptions to standard admission requirements are considered by the admissions committee on an individual basis.
  • All applicants are advised to determine whether this program meets requirements for licensure in the state where they live. See the National Society of Professional Engineers website for contact information for state licensing boards.

To apply:

  • Online application.
  • Resume/CV.
  • “Reasons for study” essay.
  • Unofficial transcripts
  • Contact information for three professional references.
  • Phone interview.

Connect with us

Program Overview: Engineering Data Analytics

October 06
12:30-1 p.m.
Join program director Susan Ottmann to get more information about the Engineering Data Analytics master's program including details on curriculum, learning outcomes, and application process.
Register for Engineering Data Analytics Program Overview

Program Overview: Engineering Management

October 06
4-4:30 p.m.
Join program staff to get more information about the Engineering Management master’s program including program requirements, plan of study and course rhythm, as well as details on the application process.
Register for Engineering Management Program Overview

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Program highlights

  • The Engineering Data Analytics master’s program is completely online, so you can earn your degree without disrupting your life.
  • You learn from the best: UW–Madison’s online engineering graduate programs are consistently top-ranked by U.S. News & World Report.
  • Our flexible curriculum allows you to customize your degree program to fit your personal objectives.
U.S. News & World Reporting Best Online Programs Grad Engineering 2020

How you'll learn

  • Fully online curriculum; you choose when you do most of your work each week.
  • You may start in the fall or spring semester of any year.
  • Complete a 15-credit core curriculum in data analytics and 15 elective credits that span other online engineering and professional development courses.
  • Classes meet online once a week; each class is available at more than one time and is recorded, so you can participate regardless of your schedule or location.

Sample curriculum

  • Database Design and Management
  • Computing Architectures
  • Engineering Applications of Statistics
  • Data Analytics
  • Data Driven Decision Making
  • Technical Project Management
  • Technical Presentations
  • Engineering discipline courses in manufacturing, controls, engine systems, power, management, and polymers

Ready to learn more about Engineering Data Analytics?
View the UW-Madison Guide

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Connect with our enrollment coaches

Our friendly, knowledgeable enrollment coaches are here to answer your questions. Contact an enrollment coach to:

  • Learn how to make this program work with your life/schedule
  • Verify credit transfers
  • Get help with your application
  • Determine if financial aid is available

Visit with our coaches on campus or at an upcoming student fair in your area. Search student fairs & events

Connect with a coach