Identify a problem of business practice, complete a systematic review of academic literature, understand the components of business theories, and evaluate different research paths and outcomes.

Create novel testable hypotheses, understand and evaluate different quantitative methods for statistical analysis, apply these techniques to existing data sets, and identify original insights from data analysis.

Create a reliable and valid survey instrument and collect data to address hypotheses. Apply techniques for factor analysis, prepare and improve a data set for analysis, and understand and critically evaluate data validity and reliability.

Apply different ways to present research data, create and deliver a workshop to teach others how to identify and solve business problems, and understand the methods and value of meta-analyses.

Systematically evaluate multiple formal approaches to academic arguments, apply a single approach to create a publishable academic paper, and understand the process for academic publication.

Understand and evaluate alternative quantitative methods to further validate findings and apply at least one of these techniques for your own project.

Apply a non-traditional quantitative technique and create and deliver a workshop to teach others how to identify and solve business problems using the technique.

Understand where and how academic research impacts business practice and analyze different non-traditional avenues to persuade business leaders to employ them.