Quantitative Business Analysis (QBA) Courses

QBA 200 Intro to Business Analytics (3) An introduction to quantitative modeling and data-driven decision-making used in Business Analytics. Includes the basic concepts and mathematical tools to understand the role of quantitative analytics in organizations; applications of analysis tools and interpretations of model outputs for effective communication. (Same as DATA 200) (Attributes: GQ)

QBA 260 Business Statistics (3) Application of statistics to business. Includes an introduction to probability and sampling; descriptive statistics, inference, regression and one-way analysis of variance. Pre: One MATH course numbered 125 or higher (may be taken concurrently). (Attributes: GQ)

QBA 300 Operations Management (3) This course is intended to provide students with an understanding of the principles of operations management. Topics covered include productivity, project management, forecasting, managing quality, human resource work studies, capacity planning, location and layout planning, supply- chain, inventory management, optimization, queuing, and simulation. Pre: C or better in QBA 260 or MATH 115.

QBA 362 Business Analytics (3) Fundamentals of Business Analytics. This course aims to teach students to analyze, formulate, and solve managerial decision-making problems using quantitative models and techniques. Pre: C or better in QBA 200 or QBA 260. (Same as DATA 362)

QBA 365 Managing Electronic Commerce (3) Topics in advanced electronic commerce (EC) management. Issues include: defining EC in its various forms; exploring EC strategies; economics of EC; global EC issues. The class will complete a semester-long hands-on-project requiring students to: assess a business' needs and opportunities; plan a Web site corresponding to the needs assessment; design a fully functional and interactive commercial Web site; plan and implement administrative parameters and functions for customer service, security, site monitoring, site maintenance, business performance, and site effectiveness. Pre: MGT 341, QBA 362, or consent of instructor.

QBA 367 Applied Business Analytics (3) This is an advanced course in business analytics with applications. It provides the advanced concepts and tools to understand the role of business analytics in organizations, how to apply business analysis tools, communicate effectively, and use and interpret analytical models in real world settings. This course focuses on applying business analytics tools and techniques such as predictive models, statistical analysis, and operations research on real-world problems and datasets for managerial decision-making. Pre: C+ or better in QBA 260 or QBA 300 or QBA 362 or MATH 115, or MATH 271.

QBA 465 Text Mining for Social Science (3) Provides the concepts and tools to understand the role of natural language processing and text analytics for managerial decision-making and how to apply text analytics tools to real-world problems. Pre: C or better in one of QBA/DATA 260 or QBA/DATA 300 or QBA/DATA 362 or CS/DATA 172, or Instructor's Consent. (Same as DATA 465)

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QBA x94 Special Topics in Subject Matter (Arr.) Special topics chosen by the instructor. Course content will vary. May be repeated for credit, provided that a different topic is studied. Additional requirements may apply depending on subject and topic.

QBA x99 Directed Studies (Arr.) Statement of planned reading or research required. Pre: instructor’s consent.