QBA 221 Statistical Analysis. (3)
fall and spring
Methods of statistical description. Applies probability theory and statistical inference in business. Prerequisite: MAT 119.
General Studies: CS

QBA 321 Applied Quality Analysis I. (3)
once a year
Applies statistical tools employed in empirical studies related to quality analysis. Applications focus on service processes. Prerequisite: QBA 221.
General Studies: L

QBA 410 Applied Business Forecasting. (3)
not regularly offered
Applies forecasting techniques in business and institutional environments. Prerequisite: QBA 321.

QBA 421 Applied Quality Analysis II. (3)
once a year
Applies statistical tools employed in manufacturing and experimental research. Applications focus on design and improvement of processes. Prerequisite: QBA 321.

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. Emphasis on 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)
not regularly offered
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)
not regularly offered

QBA 599 Thesis. (1–12)
not regularly offered

QBA 505 Management Science. (3)
not regularly offered
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)
not regularly offered
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 primarily designed for technology, evening, and executive M.B.A. students. Elective courses for these programs may include the following possible topics:

(a)	Decision Models. (3)
(b)	Decision Models for Consulting. (3)
(c)	Management Problem Solving. (3)
(d)	Strategic Decision Analysis. (3)

QBA 593 Applied Project. (1–12)
not regularly offered

QBA 599 Thesis. (1–12)
not regularly offered

QBA 791 Doctoral Seminars in Quantitative Business Analysis. (1–12)
not regularly offered
The Department of Management has adopted a modular approach to Ph.D. education. Possible topics:

(a)	Chaos Theory. (1)
(b)	Risk Analysis. (1)
(c)	Strategic Decision Making. (1)
(d)	Systems Dynamics. (1)

Page Last Updated:
webmaster@asu.edu
ASU Disclaimer
Visits to this page: