Six Sigma Black Belt

Course Quick Facts


Week 1: October 1 - 4, 2024

Week 2: November 4 - 8, 2024

Week 3: December 2 - 6, 2024

ISE 1024 - 07

9:00am - 5:00pm PT

$7,245 - Online-Interactive
$7,245 - On Campus (registration closes 09/13)

USC Viterbi School of Engineering's Six Sigma Black Belt program, offered in partnership with the Institute of Industrial and Systems Engineers, enables professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Learn the advanced problem-solving skills you need to implement the principles, practices, and techniques of our Six Sigma Black Belt course in order to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements, and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certification. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process, as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis, and simulation. Computer applications are emphasized.

For more about our Six Sigma Black Belt certification course, please contact USC Viterbi directly.

NOTE: Participants must provide a windows-based computer running Microsoft Office® to the seminar.

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What You Will Learn:

  • Introduction to Statistics
    • Descriptive
    • Probability and Probability Distributions
      • Definitions
      • Rules
      • Hypergeometric
      • Binomial
      • Poisson
      • Normal
      • Exponential
      • Chi Square
      • F
      • Student t
    • Confidence and Confidence Intervals
      • Means
      • Standard Deviations
      • Proportions
    • Tests of Hypothesis
      • Means
      • Standard Deviations
      • Proportions
    • Design of Experiments
      • Concepts
      • ANOVA
      • Factorial
    • Statistical Process Control and Process Capability
      • Variables
      • Attributes
    • Process Capability
    • Short Run SPC
    • Acceptance Sampling
    • Reliability
    • Measurement Systems Analysis
    • Goodness of Fit Testing
    • Regression and Correlation
      • Linear
      • Curvilinear
      • Multivariate
    • Six Sigma Philosophy and Structure
    • Project Management
    • Teamwork
    • Cost of Quality
    • FMEA
    • Lean Concepts

Custom Programs

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Published on July 11th, 2017

Last updated on April 23rd, 2024