MBAC 6030 - Quantitative Methods
Covers foundations for statistical reasoning and statistical applications in business. Topics include graduate-level treatment of descriptive statistics,probability, probability distributions, sampling theory and sampling distributions, and statistical inference (estimation and hypothesis testing). Provides an introduction to regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods.
MKTG 7310 - Design and Analysis of Experiments in Business
Spring 2019 / Spring 2021
Detailed exposure to experimental research methods for business applications. Emphasizes the choice of design options, data collection methods, statistical analysis, and substantive interpretation of experimental results.
MSBX 5410 - Fundamentals of Data Analytics
Summer 2018 / Summer 2019 / Summer 2020
Exposes the students to commonly used platforms for statistical and predictive analytics. The class will go into depth of analytics using R before demonstrating the same concepts using SPSS and SAS. Students will learn to analyze large datasets, including textual analytics such as twitter-stream analysis using R.