TUMx: Six Sigma Part 2: Analyze, Improve, Control course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

This course is the second part of a comprehensive Six Sigma learning path, focusing on the Analyze, Improve, and Control (AIC) phases of the DMAIC (Define, Measure, Analyze, Improve, Control) framework. Over approximately 8–10 weeks, with a suggested effort of 4–6 hours per week, learners will gain hands-on experience in diagnosing process issues, designing data-driven improvements, and implementing controls to sustain results. The course blends practical methodologies with real-world applications in quality and process improvement across industries.

Module 1: Analyze Phase

Estimated time: 20 hours

  • Understanding process variation and root causes
  • Using cause-and-effect analysis and fishbone diagrams
  • Applying basic statistics and hypothesis testing
  • Evaluating process capability and performance metrics

Module 2: Root Cause Analysis Techniques

Estimated time: 18 hours

  • Identifying sources of variation using data
  • Interpreting correlation and scatter plots
  • Conducting root cause validation
  • Applying graphical and statistical tools for analysis

Module 3: Improve Phase

Estimated time: 20 hours

  • Designing process improvement solutions
  • Applying structured problem-solving methods
  • Testing improvements through pilot studies
  • Evaluating solutions using performance data

Module 4: Experimentation and Solution Evaluation

Estimated time: 16 hours

  • Using data to compare improvement options
  • Applying before-and-after analysis
  • Understanding risk in implementation

Module 5: Control Phase

Estimated time: 18 hours

  • Developing control plans for sustainability
  • Implementing statistical process control (SPC)
  • Monitoring process performance over time
  • Preventing regression and maintaining gains

Module 6: Final Project

Estimated time: 25 hours

  • Analyze a real or simulated process using AIC tools
  • Identify root causes and propose data-backed improvements
  • Develop a control plan to sustain improvements

Prerequisites

  • Familiarity with Six Sigma fundamentals and the DMAIC framework
  • Basic understanding of data and process measurement concepts
  • Completion of a prior course covering Define and Measure phases recommended

What You'll Be Able to Do After

  • Analyze process data to identify root causes of defects
  • Apply statistical tools to evaluate and improve process performance
  • Design and test effective process improvement solutions
  • Implement control systems to maintain long-term process stability
  • Contribute to operational excellence and continuous improvement initiatives
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