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Manufacturing Systems Engineering: Manufacturing Engineering MS

Master of Science in Manufacturing Systems Engineering

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Is this program right for you?

Build technical depth in manufacturing systems engineering through a flexible online program. Learn to lead smart, efficient operations through applied learning in process optimization, quality, data-driven decision-making, and automation—all while balancing your job and personal life.

  • Join an interactive online learning experience for technical professionals in manufacturing
  • Connect with peers, faculty, and industry experts to deepen learning and expand your professional network
  • Apply concepts in automation, data analysis, continuous improvement, and smart manufacturing systems
  • Prepare for advanced technical roles such as process transformation leader, advanced engineering manager, or operations director

Education that works for you

This program fits into your life while helping you grow as a technical professional in manufacturing. Build expertise in smart systems, integrated operations, and data-driven decision-making — without putting your career on hold.

Program type

Master’s degree

Graduate education in a specific area of expertise

Explore program types

Degree awarded

Master of Science in Manufacturing Systems Engineering

Commitment

2–3 years

Tuition

$1,300 per credit

Format

Online

Primarily online

Credits

30 graduate credits

Admission terms

Program admits for Fall, Spring and Summer terms

STEM opt eligible

Yes, restrictions apply

Supports F-1 Visa

Application deadlines

Fall 2025

  • Deadline: July 1, 2025

Spring 2026

  • Deadline: November 1, 2025

Summer 2026

  • Deadline: May 1, 2026
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Jasleen Randhawa

A collaborative learning experience where I was able to share and gain knowledge on manufacturing systems engineering from my professors and peers. A unique, educational opportunity to gain exposure to new concepts and cutting edge technologies from individuals who come from varying industry and working backgrounds.

Jasleen Randhawa, Master of Science in Manufacturing Systems Engineering

Admissions and events

Program requirements

All applicants must:

  • Have a Bachelor of Science in engineering, science, or a related technical area from an accredited institution.
  • Have a minimum undergraduate GPA of 3.0 on the last 60 semester hours of coursework.
  • Submit evidence of English language proficiency, if applicable. See the Graduate School Requirements for more information GRE is not required. Applicants who have taken the test are encouraged to submit their scores


The admissions committee considers exceptions to standard requirements on an individual basis. 

Application materials required

  • Online application
  • Resume/CV
  • Essay
  • Transcripts
  • Three letters of recommendation

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

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June 19, 2025 from 12 p.m. to 12:30 p.m.

Program Overview: Manufacturing Systems Engineering: Manufacturing Engineering MS (Online)

Join program staff to get more information about the Manufacturing Systems Engineering: Manufacturing Engineering MS including curriculum, application process and potential career paths.

Register now →

Results that work for you

Manufacturing Systems Engineering: Manufacturing Engineering MS

26 years

of delivering interactive online education

#9

graduate ranking among U.S. public universities

U.S. News & World Report, 2024

Enhance your AI skills

with an optional 9-credit graduate certificate in Artificial Intelligence for Engineering Data Analytics, available to students in our online engineering master’s programs.

What you’ll learn

Build expertise in smart manufacturing, process optimization, and large-scale transformations. Learn to evaluate technologies, manage complex systems, and drive improvements across operations—from production lines to  enterprise-level initiatives.

For complete curricular details visit UW-Madison’s Guide →
  • Designing and managing smart manufacturing systems
  • Applying methods for process optimization and operational efficiency
  • Implementing quality engineering and reliability improvements
  • Using data and analytics to inform decisions in complex technical environments
  • Managing technical projects and driving engineering change initiatives
  • Applying sustainable engineering strategies across global operations

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