QBA 221 Statistical Analysis. (3)
fall and spring
Methods of statistical description. Applies probability theory and statistical inference in business. Fee. Prerequisite: MAT 119.
General Studies: CS
QBA 321 Applied Quality Analysis I. (3)
fall
Applies statistical tools employed in quality analysis. Primary emphasis on regression analysis using a variety of statistical software packages. Prerequisite: QBA 221.
General Studies: L
QBA 410 Applied Business Forecasting. (3)
spring
Applies forecasting techniques in business and institutional environments. Prerequisite: QBA 221.
QBA 421 Applied Quality Analysis II. (3)
fall, spring, summer
Applies statistical tools employed in quality analysis. Topics include experimental design, customer surveys, and process control and capability. Prerequisite: QBA 221.
QBA 502 Managerial Decision Analysis. (3)
fall and spring
Fundamentals of quantitative analysis to aid management decision making under uncertainty. Prerequisites: MAT 210; computer literacy; graduate degree program student.
QBA 525 Applied Regression Models. (3)
once a year
Simple linear regression, multiple regression, indicator variables, and logistic regression. Emphasizes business and economic applications. Prerequisite: MAT 210.
QBA 527 Categorical Data Analysis. (3)
once a year
Discrete data analysis in business research. Multidimensional contingency tables and other discrete models. Prerequisite: QBA 525.
QBA 530 Experimental Design. (3)
once a year
Experimental designs used in business research. Balanced and unbalanced factorial designs, repeated measures designs, and multivariate analysis of variance. Prerequisite: QBA 525 (or its equivalent).
QBA 535 Multivariate Methods. (3)
once a year
Advanced statistical methods used in business research. Multivariate analysis of association and interdependence. Prerequisite: QBA 525.
QBA 540 Forecasting. (3)
selected semesters
Foundation of statistical forecasts and forecast intervals; applies classical and computer-assisted forecasting methods to business forecasting problems. Prerequisites: MAT 210; QBA 502.
QBA 593 Applied Project. (1 – 12)
selected semesters
QBA 599 Thesis. (1 – 12)
selected semesters
QBA 505 Management Science. (3)
selected semesters
Quantitative approaches to decision making, including linear programming and simulation, with emphasis on business applications. Prerequisites: MAT 210; QBA 502.
QBA 508 Product and Service Innovation. (3)
fall and spring
Develops strategies for innovation in products and services. Prerequisites: basic algebra; basic probability concepts; elementary knowledge of Windows.
QBA 550 Intermediate Decision Analysis. (3)
selected semesters
Quantitative decision analysis methods for business decision making under uncertainty, including decision diagrams, subjective probabilities, and preference assessment. Prerequisites: MAT 210; QBA 502.
QBA 591 Seminar. (1 – 12)
fall and spring
Current topics in quantitative business analysis.
QBA 593 Applied Project. (1 – 12)
selected semesters
QBA 599 Thesis. (1 – 12)
selected semesters
QBA 791 Doctoral Seminars in Quantitative Business Analysis. (1 – 12)
selected semesters
Advanced topics in quantitative business analysis.
Omnibus Courses. For an explanation of additional courses offered but not specifically listed, see “Omnibus Courses.”