EMPR 370: Human Resource Analytics

Instructor: Dan Samosh

Delivery: In-person

Term: Winter 2025

Course Description: In this course, you will be introduced to the fundamental logic, metrics, analysis, and interpretation needed to link human resources to broader indicators of business strategy and organizational performance. By the end of this course, students will be capable of integrating, analyzing, interpreting, and communicating relevant HR metrics to make better decisions.

Learning Outcomes: Upon successful completion of this course students should be able to:

  1. Describe how HR analytics supports evidence-based business decisions, aligns with organizational goals, and enhances the HR function in organizations.
  2. Identify and interpret critical internal and external human resource metrics.
  3. Apply quantitative analyses to understand trends and indicators in human resource data.
  4. Identify various approaches to qualitative analyses that are relevant to the field of HR.
  5. Communicate critical insights from workforce and organizational data.

Learning Hours: 120 (24L;24G;12O;60P)

Grading Scheme: 

Detailed descriptions of each assignment, including the rubrics used for evaluation, are available on the course onQ website under the assignments tab.

Guest Lecture Reflections 20%
"Help Your CEO" Assignments 40%
HR Analytics Team Project 40%

Prerequisites: 3.0 units from EMPR at the 200-level.

Exclusions: