The Systems Engineering and Analytics master’s program at UW–Madison teaches methods and models for data analytics and data-driven decision-making so you can solve problems in engineering systems.

Is this program right for you?

With the surge in big data and computer capability, the ability to effectively analyze and utilize data is quickly becoming a critical skill in engineering decision making. In just one year (fall, spring, and summer), the Systems Engineering and Analytics master’s program from the University of Wisconsin–Madison supplements your existing engineering knowledge with deep computational and analytic skills.


Be prepared to meet the strong market demand for engineers who have mastered analytical tools and can transform data into insights. At UW–Madison, you gain expertise in optimization models and methods, applied industrial analytics, simulation modeling, and analysis—and use these tools in a real-world engineering systems setting.


Learn how to identify and solve problems that arise at every step of the systems design process, from data collection to testing and design. Our accelerated, flexible curriculum allows you to tailor your master’s program to suit your personal career objectives and to graduate in just 12 to 16 months.


Work under the auspices of the foremost experts in the systems engineering and analytics field, in one of the world’s top-ranked departments for industrial engineering. You rapidly develop the analytical and computer skills that are increasingly sought after in industries from manufacturing and transportation to finance and health care.


With a UW–Madison Industrial Engineering master’s degree and an emphasis in Systems Engineering and Analytics, you graduate ready to lead in any data-driven industrial sector.

What you Learn

  • Incorporate essential engineering principles, such as mathematical analysis, scientific analysis, optimization, and modeling
  • Apply statistical and analytical processes to production systems, quality control, and industrial manufacturing to improve efficiency and quality of production
  • Utilize data-driven methodologies to formulate, analyze, and solve advanced systems engineering problems
  • Evaluate analytical tools and determine if they are relevant to specific engineering processes

Where & How you learn


  • Accelerated
  • Face-to-face


  • The flexible curriculum can be personalized to suit your needs
  • Students who hold a graduate degree may transfer up to 9 credits of prior graduate work
  • UW–Madison Industrial Engineering students may count up to 7 credits of coursework numbered 300 or above towards degree
  • Complete in 12-16 months: Fall-Spring-Summer or Fall-Spring-Fall (allows for summer job internship).

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All applicants must:

    • Meet all of the requirements of the Graduate School.
    • Meet department specific requirements as outlined below:
  • Hold a bachelor of science degree in industrial engineering or related area or equivalent
  • Have successfully completed a mathematical statistics course (e.g., Stat 312)
  • Have successfully completed an introduction to programming course (e.g., CS 301)
  • Submit a Statement of Purpose with online application
  • Non-native English speakers must have a Test of English as a Foreign Language (TOEFL) score of 580 (written), 243 (computer-based test), or 92 (Internet version).
  • The Graduate Record Examination (GRE) is required for admission. Information on taking the GRE exam can be found here: Please note: Applicants should plan to take their exam by Dec. 1st to allow scores to be sent and processed.
  • Application Deadline: December 15th

Apply Now or Visit program website


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