Master of Science in Technology - Quality Management and Analytics

The sequence introduces quality management tools to enhance customer and supplier relations, strategic planning, and measurement systems to improve overall organizational performance. Students will learn and apply quantitative analytical modeling techniques to solve decision problems and risk situations faced by project managers. In addition, an overview of six sigma data-driven decision making methodologies will be introduced to gain insights into advanced quality based industrial management techniques.

Meeting initial entry requirements does not guarantee admission. Final admissions decisions are at the discretion of the University. Undergraduate degree with a 3.25 GPA or a GRE if GPA is low. Additional materials as required by the Department.