Master of Management Studies (M.M.S) HR Analytics Syllabus - Mumbai University 2026
This is the M.M.S. syllabus under NEP 2020, in force from the academic year 2025-26: Semesters I and II from the revised circular and Semesters III and IV from the new one, both approved by the Academic Council on 20 May 2025. The earlier choice-based syllabus is still set alongside it for repeating candidates, so check which scheme your exam form names before you revise.
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Syllabus for HR Analytics
Course objectives
- 1 To introduce foundational concepts and methodologies in human resource analytics.
- 2 To equip students with analytical skills for interpreting HR data and metrics for informed decision-making.
- 3 To demonstrate practical applications of predictive analytics in workforce planning and talent management.
- 4 To train students in leveraging analytics tools for performance management and employee engagement.
- 5 To critically assess ethical and privacy concerns associated with HR analytics implementation.
Course outcomes
- CO1: To understand the importance of Human Resource Analytics.
- CO2: To apply HR Analytics to facilitate decision making in organizations.
- CO3: To analyze the business environment and use HR Analytics for various HR functions.
- CO4: To evaluate the impact of HR Analytics in resolving business challenges.
- CO5: To create ethical ways to use AI and enhance organization effectiveness. Unit / Hours
Unit 1 CO1 · 2 hours
Introduction to Analytics: • Evolution of Analytics • Need for Analytics in Business • Introduction to HR Analytics and link to organizational goals
Unit 2 CO2 · 7 hours
Matrices and Analytics • Terminology of Matrices and Analytics • Descriptive Analytics • Prescriptive Analytics • Predictive Analytics • Models in HR Analytics.
Unit 3 CO2 · 3 hours
HR Information Systems and Data • Information Sources • Analysis software options • Preparing data: Using Software Big Data
Unit 4 CO2 · 5 hours
Analysis Strategies • Descriptive reports to predictive analytics • Statistical Significance: Types of data • Types of statistical tests: Factor Analysis, Reliability & Validity Analysis, SEM etc.
Unit 5 CO3, CO4 · 3 hours
Recruitment and Selection Analytics • Reliability and validity of selection process • Human bias in recruitment and selection • Predicting Employee Performance • Indicators of Performance • Methods for Measuring Performance
Unit 6 CO3, CO4 · 3 hours
Employee Engagement and Workforce Perceptions • Measuring Employee Engagement: Interrogating the measures • Conceptual Explanation of factor analysis
Unit 7 CO3, CO4 · 3 hours
Predicting Employee Turnover • Relevance of employee turnover as an HR indicator • Descriptive Turnover Analysis: Measuring and exploring differences between turnover at an individual and team level • Equality, diversity and inclusion: Approaches to measuring and managing D&I
Unit 8 CO4 · 2 hours
Monitoring the Impact of Interventions • Tracking the impact of various HR interventions
Unit 9 CO5 · 2 hours
Ethics in Analytics: • Ethical Standards for HR Analytics • Limitations of AI
Textbooks
- 1 The New HR Analytics: Predicting the economic value of your company’s human capital investment: Jac Fitz-enz
- 2 HR Analytics: The Wat,Why and How: Tracey Smith
- 3 HR Analytics Understanding Theories and Applications Dipak Kumar Bhattacharya Sage
- 4 Practical Applications of HR Analytics Pratyush Banerjee,Jatin Pandey,Manish Gupta Sage
Reference Books
- 1 Predictive HR Analytics: Mastering the HR Metric: Dr. Martin R. Edwards, Kirtsten Edwards
Reproduced from the University of Mumbai syllabus for Master of Management Studies (Two Year), Semester III and IV, AC 20/05/2025, Item No. 7.11 (N), in force from the academic year 2025-26. Wording and unit numbering are as printed there. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for its semester. Open a document here if you want the whole thing rather than a single subject.