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Department of Technology Management and Innovation

MG-GY 6373 Human Capital, Big Data, Predictive Analytics, & ROI

Spring 2026 - Syllabus

Course Prerequisites

Prerequisites: Graduate Standing & MG-GY 5050; Corequisite: MG-GY 6123

Course Description

This is a semester-long course worth 3 credit hours.

This course examines theories and applications of human capital, including its definitions, predictive analyses, and determining its value to the business by leveraging big data.  The course will take a systems view and integrate human capital perspectives, concepts, and methods from economics, finance, psychology and business process re-engineering.  Students will learn to apply statistical methods to building predictive models of human capital and the software tools (e.g., R, SPSS, or similar) to conduct predictive analytics with big data.  They will learn how to determine the economic and productivity benefits of human capital and human capital interventions (e.g., monetary and non-monetary rewards, job redesign, engagement, etc.) and how to communicate these benefits to senior management and key stakeholders in support of important organizational decisions.

Course Objectives

By successfully completing this course, students will be able to:

●   Evaluate different definitions and theoretical perspectives of human capital by integrating concepts from economics, finance, and psychology.

●   Apply statistical methods and software tools (e.g., R, SPSS) to build predictive models of human capital using big data.

●   Determine the economic and productivity value of human capital initiatives, such as rewards and job redesign, and analyze their impact on the business.