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Quantitative Business Analysis Courses

QBA201 Statistics for Business Insights

[3–0, 3 cr.]

This course introduces the principles of descriptive and inferential statistics for generating business insights and supporting data-driven decision-making. Topics include data analysis and visualization, probability, random variables, sampling distributions, estimation, hypothesis testing, and regression. Examples and case studies from finance, marketing, and management help students apply and interpret statistical techniques in practical business contexts. Extensive use is made of statistical software tools for data analysis, visualization, and interpretation.

Equivalent: QBA201 Managerial Statistics

QBA301 Intermediate Managerial Statistics

[3–0, 3 cr.]

This course addresses more advanced topics in statistics for business students.

Prerequisites: BUS210.

QBA730 Business Analytics for Executives

[1.5–0, 1.5 cr.]

This course covers the statistical techniques and concepts that a manager uses in making decisions. Topics include problem formulation, sampling techniques, data collection and analysis; statistical inference, including estimation and sample size determination; and regression and correlation analysis.

QBA810 Core Business Analytics & Statistics

[3–0, 3 cr.]

Covers statistical and business analytics tools useful for making effective managerial decisions in a disorganized and uncertain environment in all functional areas of business. Students learn the essential statistical topics of description, probability, inference and regression, and how to apply them using Microsoft Excel. They learn how to choose appropriate statistical methods in realistic business contexts and how to interpret and effectively communicate results. Students also learn how to use data visualization tools, pivot tables and charts, data tables, optimization models and Monte Carlo simulation.

QBA851 Quantitative Methods in Business

[3–0, 3 cr.]

This course is an introduction to the application of mathematical techniques in business decision-making, emphasizing practical usage in management situations. Topics include linear programming, transportation problems, network planning, queuing theory, regression analysis, and modeling techniques.

QBA851O Quantitative Methods in Business

[3–0, 3 cr.]

QBA852O Research Methods

[3–0, 3 cr.]

This course is an examination of research methods applicable to the identification, definition, and problem resolution in a business environment, emphasizing methodological aspects and data collection and analysis techniques. Topics include problem identification and definition, hypothesis formulation, selection of appropriate research designs, sampling, data collection methodologies, statistical validation, and research report writing.

QBA880 Special topics in Quantitative Business Analysis

[3–0, 3 cr.]

QBA880A Research Methods in Business

[3–0, 3 cr.]

This course is an examination of research methods applicable to identification, definition, and problem resolution in a business environment, emphasizing data collection and analysis techniques. Topics include problem identification and definition, hypothesis formulation, data collection methodology, statistical validation, and research report writing.

QBA880C Multi Variate Analysis

[3–0, 3 cr.]

This course deals with the methods of multivariate data analysis. The focus will be on practical issues, concepts of multivariate statistical methods, use of statistical packages, and understanding the applications of these methods.

QBA881 Research Methods in Data Analytics

[3–0, 3 cr.]

This course offers a thorough examination of research methodologies tailored to the subject of data analytics. This program is tailored for students who aim to build a solid understanding of both theoretical and practical elements of research methodology, data gathering, and analytic procedures that are pertinent to data analytics.