Comprehensive Course Listing

Detailed Departmental Elective Courses

The department offers a rich selection of advanced elective courses that allow students to specialize and deepen their expertise in specific areas. These courses are designed to reflect the dynamic nature of operations management and incorporate cutting-edge research and industry practices.

Advanced Operations Research

This course delves into complex optimization models, simulation techniques, and decision-making frameworks used in real-world applications. Students learn to develop mathematical models for complex operational problems and apply them using specialized software tools. The course emphasizes practical implementation through case studies and hands-on projects.

Supply Chain Analytics

Supply chain analytics is a rapidly evolving field that combines data science, logistics, and business strategy. This course explores how predictive modeling, network optimization, and demand forecasting can enhance supply chain efficiency. Students work with real datasets from global companies to gain practical experience in analytical problem-solving.

Lean Manufacturing Systems

Lean manufacturing principles are central to modern operational excellence. This course covers the fundamental concepts of lean methodology, including value stream mapping, 5S, and continuous improvement. Students engage in simulations and workshops to implement lean practices in simulated environments before applying them to real projects.

Sustainable Operations Management

With increasing awareness about environmental sustainability, this course explores how organizations can integrate green practices into their operational strategies. Topics include life cycle assessment, carbon footprint reduction, circular economy principles, and sustainable sourcing practices. Students are encouraged to propose innovative solutions for reducing environmental impact in various industries.

Project Management for Complex Systems

This elective focuses on managing large-scale projects involving cross-functional teams and multiple stakeholders. Students learn project planning methodologies, risk assessment techniques, resource allocation strategies, and stakeholder engagement approaches. The course includes group projects that mirror real-world challenges faced by organizations.

Financial Operations and Risk Modeling

This interdisciplinary course bridges the gap between finance and operations. Students study financial metrics used in operational decision-making, risk modeling frameworks, and valuation techniques for operational assets. Practical sessions involve analyzing financial reports of companies and developing models for evaluating operational investments.

Digital Transformation in Operations

As digital technologies reshape industries, this course examines how companies leverage IoT, cloud computing, and AI to transform their operations. Students explore emerging trends, evaluate implementation strategies, and develop digital transformation plans for hypothetical organizations. Case studies from leading firms provide insights into successful adoption practices.

Data-Driven Decision Making

Students learn to extract meaningful insights from large datasets using statistical tools and machine learning algorithms. The course emphasizes the importance of data quality, visualization techniques, and communication of findings to decision-makers. Practical assignments involve working with real-world data sets and presenting actionable recommendations.

Quality Assurance and Control

This course covers quality control methodologies, Six Sigma principles, and process improvement techniques. Students gain hands-on experience with statistical process control tools, design of experiments, and quality management systems. The curriculum includes guest lectures from quality assurance experts in manufacturing and service industries.

Global Operations Strategy

Organizations operate in increasingly interconnected global markets, necessitating strategic approaches to managing operations across borders. This course examines multinational supply chains, international logistics, cultural considerations in operations, and geopolitical risks. Students engage in simulations that reflect the complexities of global operations management.

Project-Based Learning Philosophy

Our department strongly believes in experiential learning as a means to bridge theory and practice. Project-based learning is central to our program structure, with students engaging in both mini-projects throughout their academic journey and a final-year capstone project.

The mini-projects, undertaken during the second and third years, are designed to reinforce classroom learning while introducing students to collaborative work environments. These projects are often sponsored by industry partners, ensuring relevance to current challenges faced by organizations.

The final-year thesis/capstone project is a significant component of the program. Students select topics aligned with their interests and career goals, working closely with faculty mentors from across disciplines. The project typically involves identifying a real-world problem, proposing a solution, and presenting findings to stakeholders including industry professionals and academic experts.

Students are encouraged to form interdisciplinary teams, fostering collaboration between different departments and encouraging innovation. The evaluation criteria for these projects include technical depth, creativity, presentation quality, and impact potential.