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Human Resource Management

Executive Development Program in HR Analytics Batch-9

This program from XLRI has been designed to introduce participants to the concepts of HR Analytics and familiarize them with different dimensions like descriptive analytics, predictive analytics and prescriptive analytics.
Start date
6th October, 2026
Duration
8-9 months · 120 hrs
Executive Development Program in HR Analytics
₹ INR 2,00,000 + Tax

Duration

8-9 Months(120Hrs)

Category

Human Resource Management

Last Date to Apply

30th September, 2026

Program Directors

Course Details

Programme Overview

This programme from XLRI has been designed to introduce participants to the concepts of HR Analytics and familiarize them with different dimensions such as descriptive analytics, predictive analytics, and prescriptive analytics.

The course intends to help participants become proficient in the following areas:

  • Descriptive HR Analytics: Developing and modifying various HR metrics, including proprietary metrics relevant for the organization.
  • Predictive HR Analytics: Making predictions about various people management decisions based on existing data or newly developed proprietary metrics.
  • Prescriptive HR Analytics: Making suggestions for future people management decisions based on analytics and ensuring optimum use of investments in human assets.

This course is designed for participants who may not be proficient in mathematics or statistics. Illustrations will be done primarily using SPSS and initially through MS Excel.

This course will help professionals use analytics as a tool to develop a deeper understanding of data and people management, and find appropriate solutions to real-life people challenges.

Course Content

Programme Content

A structured learning journey covering the complete spectrum of HR Analytics, from foundational concepts to predictive and prescriptive decision-making.

01

Introduction to HR Analytics

Understand the domain of HR Analytics, evidence-based decision making, and the process of designing HR Analytics projects in the context of evolving HR technologies.

  • Evidence-based Approach
  • HR Analytics Continuum
  • HR Analytics Process: Designing a Project
  • Introduction to HR Analytics using MS Excel
02

Descriptive Analytics

Learn how to capture, clean, organize and interpret HR data while developing meaningful metrics and customized proprietary measures.

  • Analytical Foundations of HR Measurement
  • Data Capturing and Cleaning
  • Types of HR Metrics
  • Developing Proprietary Metrics
  • Common Challenges in HR Measurement
03

Predictive Analytics

Use analytical tools to predict future people-management outcomes and make data-driven decisions using quantitative and qualitative techniques.

  • Introduction to Predictive Analytics Tools
  • Predictive Models for Quantitative Data
  • Working with Qualitative Data
  • Interpreting Predictive Analytics Results
04

Prescriptive Analytics

Learn how to translate predictions into practical HR interventions and optimize decisions while considering organizational context and stakeholder needs.

  • Responding to HR Challenges through Analytics
  • Prescriptive Analytics for Stakeholder Influence
  • Contextualized Prescriptions
  • Optimization through Prescriptive Analytics
  • Organizational Network Analysis (ONA)
05

Project & Applied HR Analytics

Participants will apply concepts learned throughout the programme to real-world HR challenges and organizational scenarios.

  • Prioritizing Talent Management Initiatives
  • Identifying High Attrition Risk Employees
  • Predicting Candidate Performance
  • Analyzing Probability of Candidate Joining
  • Optimizing Recruitment & Staffing Processes
  • Performance Management & Forced Distribution Analysis
  • Compensation Optimization
  • Culture Fit Assessment & Organizational Interventions
  • Organizational Design & Development Applications
06

On-Campus Immersion

There will be 2 campus immersions with a total of 6 days on across two visits ( the practice that we follow is one slot will be towards the inauguration and the other will be towards the closing of the program) 

  • Attendance is mandatory for all participants.
  • Campus sessions are subject to prevailing regulations and conditions.
  • Project presentations will not be recorded due to confidentiality requirements.
  • If physical sessions cannot be conducted, they will be delivered online, which may extend programme duration.

Who Should Attend

  • HR Business Partners, Generalists and Consultants who routinely need to analyse people-related data and provide meaningful insights to improve people management and organizational performance.
  • Talent Managers, Learning & Development (L&D) and Organizational Development (OD) Professionals who are responsible for talent acquisition, development, engagement, and retention, and need analytics-driven approaches to improve operational effectiveness.
  • HR Executives and HR Professionals who have an increasing need to leverage HR Analytics tools and techniques to strengthen HR practices and address people-related challenges.
  • Non-HR Executives with strong analytical aptitude who are interested in transitioning into HR roles and wish to build expertise in evidence-based people management and HR decision-making.

Course Pedagogy

The primary method of instruction will be through LIVE lectures in hybrid mode, combining interactive offline classes with online sessions beamed via the internet to participant desktops, laptops, or classrooms.

The pedagogy will comprise live lectures, case studies, analytical exercises, experiential evaluation, assignments, group presentations, peer group work, handholding sessions, live project presentations, and feedback in small groups, imparted and facilitated by XLRI’s faculty.

  • Concepts will be explained using examples drawn from real-life organizational situations.
  • The programme focuses on analytics rather than statistics; participants without a statistics or mathematics background are encouraged to apply.
  • Critical analysis will be demonstrated using SPSS. Participants may also refer to shared YouTube video links for detailed statistical analysis at their own pace.
  • Participants are free to use any statistical tool of their choice, including MS Excel with add-ons, while in-class demonstrations will mostly be based on SPSS.
  • Participants without access to SPSS are recommended to individually procure the discounted SPSS GradPack version of their choice.
  • Participants are expected to invest approximately three hours beyond live class sessions per week to complete assignments, review shared materials, and apply learning to familiar organizational contexts.
  • All enrolled students will receive access to the Cloud Campus for learning aids, reference materials, assessments, case studies, projects, and assignments.
  • Students may reach out to faculty in real time during class or offline through the Cloud Campus to raise questions and clarify doubts.

Assignments are provided for most important topics to support experiential learning. Participants are expected to clarify doubts and concerns during the initial stages of the next session to enable timely and systematic learning.

Assessment

A minimum of 75% attendance to the LIVE lectures is a prerequisite for the successful completion of this programme.

Periodic evaluations are built throughout the duration of the course. These may include quizzes, experiential assignments, projects, case studies, or other objective and subjective assessments. The evaluations are designed to ensure continuous student engagement and encourage learning.

  • The main objective of assignments and projects is to help participants apply conceptual learning from the programme to actual organizational decision-making scenarios.
  • Participants are expected to choose an analytics theme relevant to their work context and ensure access to the required data for analysis.
  • Participants will implement the HR analytics process discussed during the programme and demonstrate the ability to address stakeholder concerns as part of the final project.
  • The final project will be presented during the second campus visit to XLRI.
  • All participants will receive feedback and suggestions for improvement from faculty and peers to continue their individual and organizational journey toward HR analytics maturity.

Passing qualification for the programme will be based on (a) attendance requirement, (b) mandatory experiential assignment submissions, and (c) project submission.

Participants who successfully complete the requirements will be awarded a Certificate of Completion by XLRI.

Participants who are unable to clear the evaluation criteria but meet the requisite attendance requirement will be awarded a Participation Certificate by XLRI.

Certification

  • Certificate of Completion – Awarded to participants who maintain a minimum of 70% attendance in live sessions and successfully complete the project and assessment components.
  • Certificate of Participation – Awarded to participants who maintain a minimum of 50% attendance in live sessions and successfully complete the project and assessment components.
resource

Session Timing

Session Timing

Saturday: 6 .30 PM to 9.30 PM

Eligibility

  • For Indian Participants: Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university or institution (UGC / AICTE / DEC / AIU / State Government) in any discipline.
  • For International Participants: Graduation or an equivalent degree from any recognized university or institution in their respective country.
  • HR Professionals: A minimum of 2 years of work experience in the field of Human Resources.
  • Non-HR Professionals: A minimum of 5 years of overall work experience.

Session Timing

  • 🕒
  • Live Online Sessions

Every Saturday from 06:30 PM to 09:30 PM.

The last month of the programme is primarily dedicated to project work, project presentations, faculty feedback, and application of learning in organizational contexts under normal circumstances.

Course Schedule

  • Two Campus Visits for immersive offline learning sessions, faculty interactions, networking, and project-related activities.
  • Weekend Classes conducted through live online sessions, enabling participants to balance learning with professional commitments.
  • Handholding Sessions in major cities towards the end of the programme to support project implementation, learning integration, and participant guidance.

The programme follows a blended learning format combining online learning, on-campus immersion, and guided project support to maximize participant learning and application.

Certification

  • Participants must complete all fee payments and satisfy the minimum attendance requirement of 75% to be considered for certification.
  • Participants must successfully clear the prescribed evaluation criteria and programme requirements.

Certificate of Completion

Participants who fulfil all financial obligations, achieve the required attendance, and successfully clear the evaluation criteria will be awarded a Certificate of Completion.

Certificate of Participation

Participants who meet the attendance requirement but are unable to clear the evaluation criteria will be awarded a Certificate of Participation.

Programme Fee

For Indian Participants

Application Fee cum Installment I Application Fee – INR 2,500 + Tax
1st Installment – INR 70,000 + Tax 
On or Before: within 2 days of receiving the admission offer letter
Installment II INR 70,000 + Tax
On or Before: 3rd October 2026
Installment III INR 60,000 + Tax
On or Before: 5th January 2027
Total Fee INR 2,00,000 + Tax

The programme fee is payable in installments as indicated above. Applicable taxes shall be charged extra as per prevailing regulations.

Programme Fee

Eligibility

  • For Indian Participants: Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university or institution (UGC / AICTE / DEC / AIU / State Government) in any discipline.
  • For International Participants: Graduation or an equivalent degree from any recognized university or institution in their respective country.
  • HR Professionals: A minimum of 2 years of work experience in the field of Human Resources.
  • Non-HR Professionals: A minimum of 5 years of overall work experience.

How to Register

Registration & Eligibility

To register for the Short Term Course, Executive Development Program in HR Analytics of XLRI, Jamshedpur, candidates are requested to follow the process below.

Registration Process

  • Online Application: Candidates are expected to submit the online application form along with an application fee of INR 2,500 + Tax and admission fee of INR 70,000 + Tax to register for the Short Term courses offered by XLRI Jamshedpur in association with Jaro Education.
  • Registration: Candidates are requested to register by clicking on the Register button.
  • Payment: Online applicants may use their Login ID and Password to make their payment online.
  • Last Date to Apply: The last date for payment of online application fees together with the first installment will be as per the TAT mentioned in the offer letter.
  • Information Details: Applications with incomplete information, such as missing photograph, educational details, or work experience details, will not be accepted and will stand cancelled.

Eligibility

  • For Indian Participants: Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
  • For International Participants: Graduation or equivalent degree from any recognized university or institution in their respective country.
  • HR Professionals: Minimum 2 years of work experience in the field of HR.
  • Non-HR Professionals: Minimum 5 years of overall work experience.
  • Enquiry
  • VIL Office

Phone: 0657-665-3213 / 3274 / 3272

Email: [email protected]

Priya Rathod / Mr. Sushanta Mondal 

Phone: 8433740178 / 0657-665-3275 / 3212 / 3333

Important Notes

* Kindly keep the Registration ID and Password safely with you for any further correspondence.

* XLRI & Jaro Education reserve the right to cancel the candidature of any candidate at any point during the programme for misconduct or misleading information.

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Life at Our Campus

Programmes at XLRI combine live online learning with time on the Jamshedpur campus, a green, historic setting where participants meet faculty and peers in person, join campus sessions and build a lasting professional network.

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