Business Analytics (MS)
Goal 1 (Analytics Acumen): Students acquire advanced technical skills and knowledge in business analytics.
Objective 1: Identify and apply an appropriate statistical or analytical modeling methodology to solve an analytics problem.
Objective 2: Explain the implicit assumptions of analytics methodologies and the types of problems for which each methodology is appropriate.
Objective 3: Identify the key steps required to manage an analytics project.
Goal 2 (Data Visualization and Communication): Design and deliver visualizations, professional reports and presentations that effectively communicate the results of complex analytics problems.
Objective 1: Prepare appropriate visualizations to summarize data.
Objective 2: Prepare concise and persuasive professional/technical reports.
Objective 3: Prepare summaries of key findings and insights from analytics in order to support business decisions.
Goal 3 (Data Management): Students demonstrate how to manage, structure, query, and manipulate data.
Objective 1: Extract data from its source and load it into a relational database or other appropriate data structure.
Objective 2: Apply Structured Query Language (SQL) to interact with a relational database.
Objective 3: Identify the appropriate technologies and data management principles required to implement an analytics project.
Goal 4 (Critical Thinking): Students demonstrate critical thinking in their identification, analysis, and decision-making in a business analytics situation, including ethical dimensions.
Objective 1: Identify the key business problem presented by a specific situation.
Objective 2: Analyze alternative solutions in a business problem using appropriate quantitative and qualitative (assumptions, constraints, etc.) criteria and methods.
Objective 3: Make and defend an appropriate business decision.
Objective 4: Name the relevant stakeholders in an ethical situation and evaluate the impact of recommended business decisions on stakeholders.