Logistics Curriculum Overview
The logistics program at Doon Business School is meticulously designed to provide students with a comprehensive understanding of modern supply chain systems. The curriculum integrates core engineering principles with business strategies, ensuring that graduates are well-equipped to tackle complex challenges in global logistics environments.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | LOG-101 | Introduction to Logistics | 3-0-0-3 | - |
| 1 | LOG-102 | Engineering Mathematics I | 4-0-0-4 | - |
| 1 | LOG-103 | Physics for Engineers | 3-0-0-3 | - |
| 1 | LOG-104 | Computer Programming | 2-0-0-2 | - |
| 1 | LOG-105 | Introduction to Operations Research | 3-0-0-3 | LOG-102 |
| 2 | LOG-201 | Transportation Systems | 3-0-0-3 | - |
| 2 | LOG-202 | Engineering Mathematics II | 4-0-0-4 | LOG-102 |
| 2 | LOG-203 | Chemistry for Engineers | 3-0-0-3 | - |
| 2 | LOG-204 | Data Structures and Algorithms | 3-0-0-3 | LOG-104 |
| 2 | LOG-205 | Supply Chain Fundamentals | 3-0-0-3 | - |
| 3 | LOG-301 | Warehouse Management Systems | 3-0-0-3 | LOG-201, LOG-205 |
| 3 | LOG-302 | Operations Research II | 3-0-0-3 | LOG-202 |
| 3 | LOG-303 | Introduction to Information Technology | 3-0-0-3 | - |
| 3 | LOG-304 | Statistics for Logistics | 3-0-0-3 | LOG-202 |
| 3 | LOG-305 | Demand Forecasting Techniques | 3-0-0-3 | - |
| 4 | LOG-401 | Risk Analysis in Logistics | 3-0-0-3 | LOG-304 |
| 4 | LOG-402 | Supply Chain Analytics | 3-0-0-3 | LOG-304 |
| 4 | LOG-403 | Logistics Information Systems | 3-0-0-3 | LOG-303 |
| 4 | LOG-404 | International Trade and Customs | 3-0-0-3 | - |
| 4 | LOG-405 | Green Logistics Practices | 3-0-0-3 | - |
| 5 | LOG-501 | E-commerce Fulfillment | 3-0-0-3 | LOG-402, LOG-404 |
| 5 | LOG-502 | Advanced Transportation Models | 3-0-0-3 | LOG-201 |
| 5 | LOG-503 | Logistics Project Management | 3-0-0-3 | - |
| 5 | LOG-504 | Data Mining for Supply Chain | 3-0-0-3 | LOG-304 |
| 5 | LOG-505 | Logistics in Healthcare Sector | 3-0-0-3 | - |
| 6 | LOG-601 | Smart City Logistics | 3-0-0-3 | LOG-502, LOG-504 |
| 6 | LOG-602 | Supply Chain Innovation | 3-0-0-3 | LOG-501 |
| 6 | LOG-603 | Blockchain in Logistics | 3-0-0-3 | LOG-403 |
| 6 | LOG-604 | Global Supply Chain Strategy | 3-0-0-3 | LOG-404 |
| 6 | LOG-605 | Logistics Entrepreneurship | 3-0-0-3 | - |
| 7 | LOG-701 | Industry Internship | 6-0-0-6 | All previous semesters |
| 8 | LOG-801 | Final Year Project | 9-0-0-9 | LOG-701, LOG-602 |
The curriculum includes various elective courses that allow students to explore specialized areas of interest. These courses are designed to deepen understanding and prepare students for advanced roles in logistics. Below are descriptions of some key advanced departmental electives:
Advanced Supply Chain Analytics
This course delves into the application of mathematical models, statistical methods, and machine learning algorithms to analyze complex supply chain problems. Students learn how to use tools like R, Python, and specialized software packages for predictive analytics and optimization.
Sustainable Supply Chain Management
This elective explores environmental sustainability practices within supply chains, including carbon footprint analysis, green procurement strategies, and circular economy principles. The course emphasizes real-world case studies from leading global organizations.
Logistics Information Systems
Focused on integrating IT with logistics operations, this course covers topics such as ERP systems, warehouse management software, RFID technologies, and cloud-based platforms used in modern logistics environments.
Blockchain Applications in Logistics
This course introduces students to blockchain technology and its potential applications in enhancing transparency, traceability, and security in global supply chains. Students work on practical projects involving smart contracts and distributed ledger systems.
Smart Transportation Technologies
This elective explores emerging technologies such as autonomous vehicles, intelligent traffic management systems, and urban mobility planning. It includes hands-on simulations using industry-standard software tools.
Data Mining for Supply Chain Optimization
Students learn how to extract valuable insights from large datasets related to inventory levels, customer behavior, and supplier performance. The course covers clustering, classification, regression techniques, and neural networks.
Risk Management in Global Logistics
This course addresses the identification, assessment, and mitigation of risks in global supply chains, including geopolitical, natural disaster, and cyber threats. Students engage in scenario planning exercises and risk modeling workshops.
Healthcare Supply Chain
Focused on the unique challenges faced by the healthcare sector, this elective covers pharmaceutical distribution, medical device logistics, emergency response planning, and regulatory compliance issues in supply chain operations.
E-commerce Fulfillment Strategy
This course analyzes the complexities of online retail fulfillment, including last-mile delivery, inventory allocation, warehouse layout optimization, and customer service integration with logistics systems.
Industrial Logistics and Lean Operations
This elective explores lean manufacturing principles applied to logistics environments, focusing on waste reduction, process improvement, and continuous innovation in industrial supply chains.
Project-Based Learning Philosophy
Our department strongly believes that project-based learning enhances student engagement and provides practical skills essential for career success. Projects are structured around real-world challenges submitted by industry partners or based on current trends in the logistics field.
The mini-projects begin in the third year, where students work in teams to solve specific problems related to their chosen specialization. These projects are supervised by faculty members and often involve collaboration with external organizations. Students must present their findings at the end of each semester and receive feedback from both peers and experts.
The final-year capstone project is a significant component of the program, typically lasting eight months. Students select a topic under the guidance of a faculty mentor and work independently or in small groups to conduct an in-depth research study or develop a practical solution for a logistics challenge.
Project selection involves a competitive process where students submit proposals outlining their interests, available resources, and expected outcomes. Faculty mentors are assigned based on alignment with student goals and expertise areas. Evaluation criteria include project design quality, technical execution, innovation level, and final presentation effectiveness.