Comprehensive Course Structure

This section outlines the full curriculum structure for the Supply Chain Management program across eight semesters. Each course is listed with its course code, title, credit structure (L-T-P-C), and prerequisites where applicable.

Advanced Departmental Electives:

Data Analytics and Business Intelligence

This course delves into the intersection of data science and supply chain management. Students learn to apply advanced statistical models, machine learning algorithms, and visualization tools to extract actionable insights from large datasets. The course emphasizes practical applications such as demand forecasting, inventory optimization, and route planning.

Sustainable Supply Chain Management

Focused on environmental impact reduction and corporate responsibility, this course explores strategies for creating resilient, ethical supply networks. Topics include carbon footprint analysis, circular economy principles, green logistics, and regulatory compliance frameworks.

Digital Transformation in Logistics

Examines how emerging technologies like IoT, AI, blockchain, and robotics are reshaping traditional logistics operations. Students analyze real-world case studies to understand implementation challenges and success factors in digital transformation initiatives.

Global Supply Chain Strategy

This course analyzes international trade policies, geopolitical risks, and sourcing strategies across global markets. It prepares students to develop strategic plans for multinational supply chains that balance cost efficiency with risk mitigation.

Risk Management and Resilience Planning

Students learn to identify, assess, and mitigate potential disruptions in supply chains using scenario modeling and contingency planning techniques. The course covers both internal and external risks such as natural disasters, cyber attacks, and economic volatility.

Supply Chain Finance and Cost Optimization

Integrates financial analysis with logistics operations to optimize costs throughout the supply chain lifecycle. Topics include pricing strategies, budgeting, performance measurement, and investment decisions in logistics infrastructure.

Cybersecurity for Supply Chains

Addresses the growing threat of cyber attacks in interconnected global networks. Students explore secure communication protocols, data protection mechanisms, and incident response strategies tailored to supply chain environments.

Product Design and Development Integration

Explores how product lifecycle management influences supply chain design and decision-making processes. The course covers concurrent engineering, rapid prototyping, and modular design principles that enhance supply chain agility.

Advanced Predictive Modeling

This course builds upon foundational statistics to teach students how to build predictive models using regression analysis, neural networks, and time series forecasting. Emphasis is placed on interpreting results and applying them to real-world logistics scenarios.

Supply Chain Simulation and Optimization

Students use industry-standard software tools like Simio and AnyLogic to model complex supply chain systems and optimize performance metrics such as lead times, inventory levels, and throughput rates.

Lean Supply Chain Management

Focuses on eliminating waste in supply chains through lean principles and continuous improvement methodologies. Students learn to implement Kaizen events, value stream mapping, and Six Sigma tools within logistics contexts.

International Trade and Compliance

Provides a comprehensive overview of international trade regulations, customs procedures, and compliance requirements affecting global supply chains. Case studies from various industries illustrate practical challenges in cross-border logistics.

Supply Chain Innovation Lab

An experiential learning environment where students work on capstone projects with industry partners to solve real-world problems. The lab fosters collaboration between academia and business, emphasizing innovation, design thinking, and entrepreneurship.

Blockchain Applications in Supply Chain

Explores the potential of blockchain technology to increase transparency, traceability, and trust in global supply chains. Students examine applications in food safety, pharmaceuticals, and luxury goods sectors.

Supply Chain Analytics Lab

A hands-on laboratory course that provides students with practical experience in data collection, cleaning, and analysis using Python, R, SQL, and specialized software packages for logistics analytics.

Project-Based Learning Philosophy

The department's philosophy on project-based learning centers around experiential education, real-world problem-solving, and industry relevance. Projects are designed to simulate actual challenges faced by global supply chains, ensuring students gain practical skills alongside theoretical knowledge.

Mini-Projects (Semesters 3–5): Students engage in small-scale projects that focus on specific aspects of supply chain operations. These projects are typically completed in groups and involve data collection, analysis, and presentation. Examples include designing an inventory management system or optimizing a transportation route.

Final-Year Capstone Project: The capstone project is the culmination of the program, requiring students to undertake a comprehensive study of a complex supply chain issue. Projects are selected in consultation with faculty mentors and industry collaborators, ensuring relevance to current trends and challenges.

Project selection involves a proposal process where students present their ideas to a panel of faculty members and industry experts. The evaluation criteria include innovation potential, feasibility, alignment with real-world problems, and team dynamics. Faculty mentors guide students through the research, development, and implementation phases, providing regular feedback and support.