Course Highlights

Ensure Your Measurement Data is Reliable for Making Confident Decisions


The quality of your data dictates the quality of your decisions. If your measurement system is unreliable, your process improvements and quality checks are built on an unstable foundation. Measurement System Analysis (MSA) is a scientific method used to assess the accuracy, precision, and stability of a measurement system, ensuring the data you collect is trustworthy. This focused course provides a clear, practical overview of MSA principles, empowering you to understand and evaluate the key components of measurement variation.


What You Will Learn

By the end of this course, you will be able to:

  • Define Measurement System Analysis and understand its critical role in data integrity.

  • Identify the Five Core Components of measurement system variation.

  • Distinguish between Accuracy (Bias) and Precision (Repeatability & Reproducibility).

  • Understand the purpose and interpretation of Gage Repeatability and Reproducibility (Gage R&R) studies.

  • Recognize the criteria for an acceptable measurement system and the impact of a poor one.

  • Identify basic steps to begin improving a measurement process.


Course Curriculum

The course is structured into targeted modules for efficient learning:

  • Module 1: The Foundation of Data: Why Your Measurement System Matters

  • Module 2: Deconstructing Variation: Accuracy, Precision, and Stability

  • Module 3: Introduction to Gage R&R and Acceptance Criteria


Who Is This Course For?

This course is designed for professionals who rely on data for decision-making, quality control, or process improvement, including:

  • Quality Engineers and Technicians

  • Metrology and Calibration Specialists

  • Manufacturing and Process Engineers

  • Lab Technicians and Researchers

  • Continuous Improvement Practitioners


Prerequisites

There are no formal prerequisites for this course. A basic familiarity with data collection in a technical environment is helpful.


Course Features & Included Materials

  • Focused eLearning: Complete the 1 hour of essential, concept-focused content efficiently.

  • Practical Examples: Learn through clear, relatable illustrations of measurement variation.

  • Quick-Reference Guide: Access a downloadable summary of key MSA terms and acceptance criteria.

  • Certificate of Completion: Earn a verifiable, with a unique ID and QR code, soft-copy certificate issued via the QCI training portal. Validate your achievement anytime at https://pathshala.qcin.org/.


Enroll Today and Build Confidence in Your Data!

Invest one hour to master the principles that underpin all reliable data collection. Learn to identify measurement errors and ensure your quality decisions are based on truth, not noise.


For more information, please contact:

Rohit Varshney at rohit.varshney@qcin.org, Ph. 9773500376