finger pointing at image of people on screen

Human Capital Analytics Concentration

Why Human Capital Analytics?

Learn how to optimize overall workplace success using data to interpret trends and predict outcomes related to people management. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Human Capital Analytics Concentration is stackable with the following master's programs: Master of Information Technology and Analytics, MBA, and Master's in Human Resources.

Concentration Description

Organizational success is largely driven by human capital. The Human Capital Analytics concentration equips students with data-driven decision-making skills to develop and evaluate high-impact people management interventions and practices. After completing the certificate, students will be skilled in analyzing data to interpret trends and predict outcomes related to people management, which facilitates change initiatives and enables the development of effective human resources practices, ultimately contributing to overall workforce success and organizational competitive advantage. Data analytics skills will be applied within the human resources context, optimizing practices and addressing challenges such as employee turnover, employee engagement, talent acquisition and management, legal compliance and discrimination, and performance management.

Courses

You can take the course listed below as individual classes or as stackable courses toward the completion of a concentration. This concentration requires four courses to be completed. Students have the option to choose between Business Data Management (22:198:603) OR Data Analytics and Visualization (22:544:646).

Human Resource Metrics and Analytics

This course introduces students to the concepts of Human Resource Management metrics, analytics, and evidence-based management. Students learn to reexamine the scope of human resource management through a quantitative lens. Topics include costing and predicting turnover, ensuring diversity, equity and inclusion, valuing engagement and performance, and designing more effective selection and compensation systems.

  • Course Number: 38:533:550
  • Prerequisites: Basic statistics or equivalent
  • Credits: 3
  • Delivery Mode: In-person, online
  • Offered By: Master’s in Human Resources Management
  • Relevant Programs: Master’s in Human Resources Management
  • Sample Relevant Careers: Human Resources Professional, Human Resources Manager, Human Resources Generalist, Executives

Data Analysis and Decision Making

This course introduces statistics as applied to managerial problems. Emphasis is placed on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as various statistical techniques such as sampling, inference, and regression.

  • Course Number: 22:960:575
  • Prerequisites: Basic statistics and calculus
  • Credits: 3
  • Delivery Mode: In-person
  • Offered By: Master of Information Technology and Analytics, MBA
  • Relevant Programs: Master of Information Technology and Analytics, MBA
  • Sample Relevant Careers: Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Machine Learning Engineer, Marketing Analyst, Statistician

Business Data Management

This course provides students with an understanding of database technology and its application in managing data resources. The conceptual, logical, and physical design of databases will be analyzed.  A database management system will be used as a vehicle for illustrating some of the concepts discussed in the course.

  • Course Number: 22:198:603
  • Credits: 3
  • Delivery Mode: In-person
  • Offered By: MS in Information Technology and Analytics, MBA
  • Relevant Programs: MS in Information Technology and Analytics, MBA
  • Sample Relevant Careers: Data Analyst, Data Engineer, Systems Administrator, Database Administrator, Data Manager, Business Analyst, Business Intelligence Specialist

Data Analytics and Visualization

The course aims to develop critical business data presentation skills to ensure that visualizations add to the effective interpretation and explanation of the underlying data without undue strain to the consumer of the information. Students will learn how visualizations enable effective detection of trends that can be easily connected to real world events to help explain relationships and interrelationships, and how to use appropriate and minimal use of color to maximize its impact. The course will present a variety of data visualization methods, focusing on business data visualizations similar to those that appear in business publications. Finally, students will learn advanced techniques that will help them analyze big data including hundreds of variables. Software tools such as R and Tableau will be used for experiential learning.

  • Course Number: 22:544:646
  • Prerequisites: Basic statistics and calculus
  • Credits: 3
  • Delivery Mode: In-person, online
  • Offered By: MS in Information Technology and Analytics, MBA
  • Relevant Programs: MS in Information Technology and Analytics, MBA, Master’s in Human Resources Management
  • Sample Relevant Careers: Data Scientist, Data Visualization Analyst, Data Visualization Designer, Data Visualization Specialist, Data Visualization Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Statistician

Application of Human Resource Analytics: Tools and Techniques

This course focuses on identifying strategic Human Resource Management problems and creating data-driven approaches to find solutions. Students focus on designing and using surveys, collecting HR metrics and data, as well as developing skills necessary to inform a broad audience about evidence-based solutions. Topics include problem identification, data acquisition, data analysis, identifying best practices, project management, research ethics, and communicating research findings to a managerial audience.

  • Course Number:38:533:650
  • Prerequisites: Human Resource Metrics and Analytics
  • Credits: 3
  • Delivery Mode: In-person, online
  • Offered By: Master’s in Human Resources Management
  • Relevant Programs: Master’s in Human Resources Management
  • Sample Relevant Careers: Human Resources Professional, Human Resources Manager, Human Resources Generalist, Executives, Supervisors, Managers, Compensation Analysts, Recruiters

 

The concentration and courses are offered by the Management Science & Information Systems Department

Sample Relevant Careers: Human Resources Professional, Human Resources Manager, Human Resources Generalist, Executives, Supervisors, Managers, Compensation Analysts, Recruiters, Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Statistician

How to Apply

Learn about the admissions process and requirements to apply.

Rutgers Stackable Business Innovation (rSBI)

The future of education is changing. The Rutgers Stackable Business Innovation (rSBI) program allows you to design your own cutting-edge curriculum to earn a standalone certificate or take courses that be transferred towards completing a Master’s degree. Working professionals can enhance their knowledge and upskill by taking relevant courses. If you are a student considering a Master’s degree, rSBI is a perfect way to test the waters in a particular discipline before committing to a full degree program. Employers can invest in the professional development of their employees and choose the courses that address business needs.

Concentrations & Courses

rSBI Management Science & Information Systems courses are taken during the course of the fall and spring semesters. Note that not all courses are offered every semester.

rSBI Concentrations

View more of the available concentrations. Each academic department manages its own concentrations in the rSBI program.