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.
Students in the program will gain knowledge and skill sets in quantitative and qualitative decision making practices to solve complex business operational problems and quality issues. Intuitive data analytics tools and qualitative techniques are used to effectively deliver performance improvement solutions. Hands-on exercises and software packages are extensively utilized to help participants learn the concepts and applications in real world problems.
All Department of Technology master's students must take these classes:
A total of 30 hours is required to complete the degree, including a thesis (for 6 credit hours). After completing the required 5 courses, a student choosing the thesis option will need to complete an additional 9 hours of elective courses.
A total of 33 hours is required to complete the culminating comprehensive option. After completing the required courses, a student choosing this option will need to complete an additional 9 hours of electives, and 9 hours in a secondary area of concentration of conceptually connected coursework.
Upon completion of their Master of Science, students will be able to:
Are you looking for professional development but can't commit to a full master's degree program? Apply to our Quality Management and Analytics graduate certificate program