Curriculum Overview

The Operations Management program at SAM College of Management and Technology is meticulously structured to provide students with a comprehensive understanding of operational principles, supported by advanced analytical tools and practical applications. This curriculum ensures that graduates are well-prepared for leadership roles in diverse industries.

Course Structure Across Semesters

Advanced Departmental Elective Courses

The department offers a wide array of advanced elective courses designed to deepen students' understanding and expertise in specialized areas of operations management:

AI in Operations

This course explores the integration of artificial intelligence and machine learning techniques into operational processes. Students learn how to apply AI models for predictive analytics, demand forecasting, and automated decision-making. The course includes hands-on projects using platforms like TensorFlow and Python-based ML libraries.

Digital Operations

Focusing on digital transformation in operations, this course covers topics such as IoT integration, cloud computing, blockchain applications, and cybersecurity in operational contexts. Students gain practical experience through lab sessions involving real-world datasets and simulation tools.

Advanced Supply Chain Analytics

This elective delves into complex analytics used in modern supply chains. Topics include network optimization, risk modeling, performance measurement, and scenario planning. Students utilize advanced software tools like SAS, R, and MATLAB for data analysis.

Sustainable Operations

Addressing environmental sustainability in business operations, this course examines green supply chain practices, carbon footprint reduction strategies, circular economy models, and regulatory compliance issues. Case studies from leading companies highlight successful implementation of sustainable practices.

Service Operations Management

This course focuses on designing and managing service delivery systems. It covers service blueprinting, customer experience mapping, quality assurance in services, and performance measurement techniques specific to service industries.

Operations Innovation and Design

Students learn how to innovate within operational frameworks through design thinking methodologies, lean startup principles, and creative problem-solving approaches. This course emphasizes the development of new operational processes and business models.

Risk Management in Operations

This elective teaches students to identify, assess, and mitigate risks in various operational environments. It covers financial risk analysis, operational risk management frameworks, and crisis response strategies using real-world case studies.

Operations Consulting

Designed for students interested in consulting careers, this course provides insights into operational consulting practices. Students work on real client cases, learn consulting methodologies, and develop presentation and communication skills essential for consulting roles.

Data Analytics for Operations

This course focuses on leveraging data analytics to improve operational efficiency. It includes statistical modeling, visualization techniques, and data-driven decision-making frameworks using tools like Tableau, Power BI, and Python.

Operations Leadership

Focusing on leadership in operational contexts, this course develops soft skills such as team management, communication, and change leadership. Students engage in group projects that simulate real-world leadership challenges.

Capstone Project I

This is the initial phase of the capstone project where students form teams, select a domain, and begin research and planning for their final project. Guidance from faculty mentors ensures academic rigor and relevance to industry needs.

Capstone Project II

The culmination of the program, this course involves full implementation and presentation of the capstone project. Students present their findings to industry panels, demonstrating their ability to solve complex operational problems.

Project-Based Learning Philosophy

Our department believes that project-based learning is fundamental to developing practical skills in operations management. The curriculum incorporates both mini-projects and a comprehensive final-year thesis or capstone project that spans multiple semesters.

Mini-projects are assigned in the third and fourth years, allowing students to apply theoretical concepts in real-world scenarios. These projects often involve collaboration with industry partners and provide exposure to actual business challenges.

The final-year capstone project is a significant undertaking that requires students to address a substantial operational problem using advanced analytical tools and methodologies. Students choose their topics in consultation with faculty mentors, ensuring alignment with personal interests and career goals.

Projects are evaluated based on the following criteria:

• Relevance: Alignment of the project with current industry challenges and academic standards.
• Methodology: Use of appropriate analytical tools and methodologies.
• Execution: Quality of implementation and problem-solving approach.
• Presentation: Clarity, professionalism, and effectiveness of communication.
• Impact: Potential contribution to operational efficiency or innovation.