Master of Management Studies (M.M.S) Artificial Intelligence in Human Resource Management Syllabus - Mumbai University 2026

Course objectives

• 1 To introduce students to foundational concepts of artificial intelligence and its applications in human resource management.
• 2 To equip students with knowledge of AI-driven tools and platforms used for recruitment, on-boarding, and employee engagement.
• 3 To develop analytical skills for interpreting AI-driven HR analytics, predictive models, and decision-making processes.
• 4 To critically assess ethical and regulatory considerations related to AI integration in HR practices.
• 5 To provide practical exposure to AI technologies through hands-on projects, enhancing strategic HR decision-making capabilities.

Course outcomes

• CO1: To develop an understanding of Artificial Intelligence (AI) and its applications in Human Resource Management (HRM).
• CO2: To apply AI-driven tools and techniques in HR functions.
• CO3: To analyse ethical and legal considerations in AI-powered HR decision-making and implementation.
• CO4: To evaluate and develop practical expertise in AI-powered HR analytics and process automation.
• CO5: To create and integrate AI Models in HRM.

Unit 1 CO1 · 3 hours

Introduction to AI in HRM • Overview of Artificial Intelligence (AI) and Machine Learning (ML) • Evolution of AI in HRM • The Role of AI in Enhancing HR Functions

Unit 2 CO1, CO2 · 4 hours

AI in Talent Acquisition and Recruitment • AI-Based Resume Screening & Applicant Tracking Systems (ATS) • Adoption of AI in Task automation, Recruitment, and Talent acquisition • Chatbots and Virtual Assistants for Candidate Engagement • Predictive Analytics for Hiring Decisions • AI in Diversity and Inclusion in Hiring • HR Metrics

Unit 3 CO3 · 4 hours

AI in Employee Engagement and Performance Management • AI-Driven Employee Feedback Systems • Sentiment Analysis and Employee Experience Monitoring • AI for Performance Appraisals and 360-Degree Feedback • Personalized Learning & Development with AI

Unit 4 CO2, CO3 · 6 hours

Usage of AI in various functions of HR • Using AI in Workforce Planning • Using AI in On-boarding • Using AI in Employee Training • Using AI in Performance Management • Using AI for Employee Retention

Unit 5 CO3, CO4 · 3 hours

AI in HR Analytics and Decision-Making • Workforce Planning with AI • Predictive HR Analytics for Retention and Productivity • AI-Powered Compensation & Benefits Optimization • HR Metrics & Dashboards for Data-Driven Decisions

Unit 6 CO3 · 3 hours

Ethical, Legal, and Future Implications of AI in HRM • Ethical Challenges of AI in HR (Bias, Privacy, and Transparency) • Legal & Compliance Aspects of AI in HR • The Future of AI in HRM – Trends and Innovations

Unit 7 CO4, CO5 · 3 hours

Challenges and Future Opportunities of AI in HRM • Challenges of AI adoption in HRM • HRM digitalization Success and Future Opportunities. • AI in Career Succession Planning of Employees

Unit 8 CO5 · 4 hours

Emerging Trends of AI in HRM • AI in Sustaining Green HRM • Emerging trends of AI based HRM • Benefits of Synergizing AI and HRM

Textbooks

• 1 Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce – Ben Eubanks
• 2 The Future Workplace Experience: 10 Rules for Managing Disruption in Recruiting and Engaging Employees – Jeanne C. Meister & Kevin Mulcahy
• 3 Human + Machine: Reimagining Work in the Age of AI – Paul R. Daugherty & H. James Wilson
• 4 Ben Eubanks (2018). Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page Publishers, 2018
• 5 Strohmeier, Stefan (2022). Handbook of Research on Artificial Intelligence in Human Resource Management. Edward Elgar Publishing, 2022

Reference Books

• 1 Reports from Gartner, McKinsey, and Deloitte on AI in HR
• 2 Case studies from Harvard Business Review (HBR)
• 3 Articles from SHRM (Society for Human Resource Management)