Online Course

E_M 596 Advanced Topics in Engineering Management II – Industrial Statistics with Python

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Term

Summer 2026

Duration

8 weeks, Live Online

Price

Non-Refundable Application Fee: US$90
View Tuition and Fees for Tuition Rates

Admission

Apply online via EngineeringCAS. Priority application deadlines by term: November 15 (Spring); July 15 (Fall); March 15 (Summer)

Course Description

This fully online course introduces the principles and applications of industrial statistics through a computer-based approach using Python. It integrates classical methods of quality and reliability analysis with modern analytics and computational tools relevant to Industry 4.0 and advanced manufacturing systems. Students gain experience applying statistical methods to process control, experimental design, multivariate analysis, and reliability estimation using real and simulated industrial datasets.

Topics include process monitoring and control, process capability studies, design and analysis of experiments, quality by design, computer experiments, cybermanufacturing, digital twins, Bayesian reliability modeling, and sampling inspection methods. The Python-based mistat package is used throughout to demonstrate statistical modeling, visualization, and decision-support applications.

Semester Credits: 3
Prerequisites: None
Location: Global Campus

Course meets at times posted via web conferencing software.

Elective for
Master’s Degree
Industrial Leadership Certificate
Supply Chain Certificate

Learning Outcomes:

By the end of the course, students will be able to:

  1. Apply industrial statistical methods to real-world process and quality improvement problems.
  2. Design and analyze experiments for process optimization and robust design.
  3. Implement and interpret control charts and capability indices for variable and attribute data.
  4. Conduct reliability and life-data analyses using both classical and Bayesian approaches.
  5. Use Python to integrate analytics with modern manufacturing systems.

Lectures are live and interactive

Delivered 2x/week—early evening

Each live session is recorded

Applicants to the ETM program must have the following:

Minimum requirements:

  • a bachelor’s degree from an accredited institution
  • a transcript*
  • at least one letter of recommendation**
  • a personal statement
  • a résumé showing work experience

Learn more about the Master of Engineering and Technology Management.

Minimum requirements:

  • a bachelor’s degree from an accredited institution
  • a transcript*
  • a personal statement
  • a résumé

Because the certificates consist of regular graduate courses, admission to the graduate school is still necessary.

Learn more about ETM certificate programs.

* The ETM program is designed for working professionals, and we highly value your work experience and determination. We may be able to offer provisional admission to those who do not meet the Graduate School’s minimum 3.0 GPA requirement. Please contact us at etm@wsu.edu for more information.

** The program accepts both academic and professional letters.

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