Collegese

Welcome to Collegese! Sign in →

Collegese
  • Colleges
  • Courses
  • Exams
  • Scholarships
  • Blog

Search colleges and courses

Search and navigate to colleges and courses

Start your journey

Ready to find your dream college?

Join thousands of students making smarter education decisions.

Watch How It WorksGet Started

Discover

Browse & filter colleges

Compare

Side-by-side analysis

Explore

Detailed course info

Collegese

India's education marketplace helping students discover the right colleges, compare courses, and build careers they deserve.

© 2026 Collegese. All rights reserved. A product of Nxthub Consulting Pvt. Ltd.

Apply

Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Human Resource Management

SAM COLLEGE OF MANAGEMENT AND TECHNOLOGY
Duration
4 Years
Human Resource Management UG OFFLINE

Duration

4 Years

Human Resource Management

SAM COLLEGE OF MANAGEMENT AND TECHNOLOGY
Duration
Apply

Fees

₹1,20,000

Placement

92.5%

Avg Package

₹7,50,000

Highest Package

₹18,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Human Resource Management
UG
OFFLINE

Fees

₹1,20,000

Placement

92.5%

Avg Package

₹7,50,000

Highest Package

₹18,00,000

Seats

200

Students

200

ApplyCollege

Seats

200

Students

200

Curriculum

Course Structure Overview

The Human Resource Management program at SAM College of Management and Technology is structured over eight semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory work. The curriculum emphasizes both theoretical understanding and practical application to ensure students are well-prepared for real-world challenges.

SemesterCourse CodeCourse TitleCredits (L-T-P-C)Prerequisites
1HRM101Introduction to Human Resource Management3-0-0-3-
1HRM102Psychology of Organizational Behavior3-0-0-3-
1MAT101Mathematics for Business Applications3-0-0-3-
1ENG101English Communication Skills2-0-0-2-
1HSS101Sociology of Organizations3-0-0-3-
1LAW101Introduction to Labor Law2-0-0-2-
2HRM201Recruitment and Selection Techniques3-0-0-3HRM101
2HRM202Training and Development Programs3-0-0-3HRM101
2ECON101Microeconomics3-0-0-3MAT101
2HRM203Performance Appraisal Systems3-0-0-3HRM101
2LAB201HR Lab: Recruitment Simulation0-0-3-1-
3HRM301Compensation and Benefits Management3-0-0-3HRM201
3HRM302Organizational Behavior Theory3-0-0-3HRM102
3HRM303Employee Relations and Labor Law3-0-0-3LAW101
3STAT101Statistics for Business Applications3-0-0-3MAT101
3HRM304Leadership and Team Dynamics2-0-0-2HRM101
3LAB301HR Lab: Performance Management0-0-3-1-
4HRM401Strategic Human Resource Management3-0-0-3HRM301
4HRM402Diversity and Inclusion in Organizations3-0-0-3HRM302
4HRM403Global Human Resource Practices3-0-0-3HRM301
4HRM404Corporate Governance and Ethics2-0-0-2HRM101
4LAB401HR Lab: Strategic Planning0-0-3-1-
5HRM501Talent Analytics and Data Science3-0-0-3STAT101
5HRM502Change Management in Organizations3-0-0-3HRM401
5HRM503Human Capital Analytics3-0-0-3STAT101
5HRM504Workplace Psychology and Motivation2-0-0-2HRM102
5LAB501HR Lab: Analytics Project0-0-3-1-
6HRM601Advanced Organizational Development3-0-0-3HRM502
6HRM602HR Technology Solutions3-0-0-3HRM401
6HRM603International HR Practices3-0-0-3HRM403
6HRM604Cross-Cultural Management2-0-0-2HRM302
6LAB601HR Lab: Technology Implementation0-0-3-1-
7HRM701Capstone Project in HR2-0-6-4All previous semesters
7HRM702HR Consulting Practicum2-0-6-4HRM601
8HRM801Final Thesis in Human Resource Management4-0-0-4HRM701
8HRM802HR Innovation Workshop2-0-6-4HRM602

Advanced Departmental Electives

Students can choose from a range of advanced departmental electives that allow them to specialize in areas such as talent analytics, organizational development, global HR practices, and more. These courses are designed to provide deeper insights into specific domains within HRM.

  • Talent Analytics and Data Science: This course explores how data-driven approaches can be used to make informed decisions about talent acquisition, retention, and development. Students learn to use statistical tools, machine learning algorithms, and predictive analytics models to identify trends and optimize HR processes.
  • Change Management in Organizations: Focuses on the strategies and techniques required to implement organizational changes effectively. Topics include resistance management, communication planning, stakeholder engagement, and change leadership frameworks.
  • Human Capital Analytics: Delivers a comprehensive understanding of how HR data can be leveraged to measure performance, predict outcomes, and drive strategic decisions. Students work with real datasets to analyze workforce trends and develop actionable insights.
  • Workplace Psychology and Motivation: Examines psychological theories and their application in workplace settings. The course covers motivation theories, cognitive biases, emotional intelligence, and interpersonal dynamics that influence productivity and job satisfaction.
  • Advanced Organizational Development: Explores advanced models of organizational change and development. Students learn about organizational culture, systems theory, and intervention strategies used by consultants to address complex challenges in large organizations.

Project-Based Learning Philosophy

The program adopts a project-based learning approach that integrates academic knowledge with practical experience. Students engage in both individual and group projects throughout their studies, culminating in a final-year capstone project and thesis.

Mini-projects are assigned in the second and third years to help students apply concepts learned in class to real-world scenarios. These projects often involve working with local organizations or participating in case competitions that simulate actual business situations.

The final-year thesis is a significant component of the program, where students conduct independent research under faculty supervision. The project allows students to explore a specific area of interest within HRM and contribute original insights to the field.