Comprehensive Course Structure
The Supply Chain Management program at INDORE INTERNATIONAL COLLEGE is structured over eight semesters, with a carefully curated blend of core courses, departmental electives, science electives, and laboratory sessions. Each semester builds upon the previous one, gradually increasing in complexity and specialization.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | SCM101 | Introduction to Supply Chain Management | 3-0-0-3 | - |
| 1 | MAT101 | Calculus and Differential Equations | 4-0-0-4 | - |
| 1 | PHY101 | Physics for Engineers | 3-0-0-3 | - |
| 1 | ENG101 | English Communication Skills | 2-0-0-2 | - |
| 1 | CS101 | Introduction to Computer Programming | 3-0-0-3 | - |
| 2 | SCM201 | Supply Chain Operations | 3-0-0-3 | SCM101 |
| 2 | MAT201 | Linear Algebra and Probability | 4-0-0-4 | MAT101 |
| 2 | PHY201 | Thermodynamics and Heat Transfer | 3-0-0-3 | PHY101 |
| 2 | BIO101 | Introduction to Biology for Engineers | 3-0-0-3 | - |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 3 | SCM301 | Supply Chain Analytics | 3-0-0-3 | SCM201, MAT201 |
| 3 | MAT301 | Statistics and Optimization | 4-0-0-4 | MAT201 |
| 3 | ECO101 | Microeconomics Principles | 3-0-0-3 | - |
| 3 | ENG201 | Technical Writing and Presentation | 2-0-0-2 | ENG101 |
| 3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| 4 | SCM401 | Digital Supply Chain Technologies | 3-0-0-3 | SCM301 |
| 4 | MAT401 | Advanced Mathematical Modeling | 4-0-0-4 | MAT301 |
| 4 | ECO201 | Macroeconomics | 3-0-0-3 | ECO101 |
| 4 | BUS101 | Business Ethics and Social Responsibility | 2-0-0-2 | - |
| 4 | CS401 | Machine Learning for Engineers | 3-0-0-3 | CS301, MAT301 |
| 5 | SCM501 | Sustainable Supply Chain Practices | 3-0-0-3 | SCM401 |
| 5 | MAT501 | Operations Research | 4-0-0-4 | MAT401 |
| 5 | FIN101 | Financial Accounting and Analysis | 3-0-0-3 | - |
| 5 | ECO301 | International Trade and Finance | 3-0-0-3 | ECO201 |
| 5 | CS501 | Data Visualization and Reporting | 3-0-0-3 | CS401 |
| 6 | SCM601 | Global Procurement Strategies | 3-0-0-3 | SCM501 |
| 6 | MAT601 | Stochastic Processes and Queuing Theory | 4-0-0-4 | MAT501 |
| 6 | BUS201 | Leadership and Team Dynamics | 2-0-0-2 | - |
| 6 | ECO401 | Economic Policy and Regulation | 3-0-0-3 | ECO301 |
| 6 | CS601 | Big Data Analytics | 3-0-0-3 | CS501 |
| 7 | SCM701 | Supply Chain Risk Management | 3-0-0-3 | SCM601 |
| 7 | MAT701 | Nonlinear Optimization Techniques | 4-0-0-4 | MAT601 |
| 7 | BUS301 | Strategic Management | 3-0-0-3 | BUS201 |
| 7 | ECO501 | Development Economics | 3-0-0-3 | ECO401 |
| 7 | CS701 | Artificial Intelligence in Operations | 3-0-0-3 | CS601 |
| 8 | SCM801 | Capstone Project | 3-0-0-3 | All previous semesters |
| 8 | MAT801 | Research Methodology and Thesis Writing | 4-0-0-4 | MAT701 |
| 8 | BUS401 | Entrepreneurship and Innovation | 2-0-0-2 | BUS301 |
| 8 | ECO601 | Economic Impact Assessment | 3-0-0-3 | ECO501 |
| 8 | CS801 | Advanced Machine Learning Models | 3-0-0-3 | CS701 |
The curriculum integrates theoretical knowledge with practical applications through lab sessions and mini-projects. Students are encouraged to apply their learning in real-world scenarios, often working on industry-sponsored projects.
Advanced Departmental Elective Courses
These advanced courses provide students with deeper insights into specialized areas of SCM:
- Supply Chain Optimization Using Linear Programming: This course explores mathematical models for optimizing resource allocation and logistics planning using linear programming techniques. Students learn to formulate real-world problems into mathematical equations and solve them using software tools like Excel Solver and Gurobi.
- Advanced Data Mining Techniques for SCM: Focused on extracting actionable insights from large datasets, this course introduces advanced data mining algorithms such as clustering, classification, and association rule mining applied to supply chain contexts. Tools like R and Python are used extensively.
- Sustainable Sourcing and Circular Economy: This course examines the principles of sustainable sourcing practices, including ethical labor conditions, environmental impact assessments, and circular economy models that minimize waste and maximize resource efficiency.
- Blockchain Applications in Supply Chain: Students explore how blockchain technology can enhance transparency, traceability, and trust in global supply chains. The course covers smart contracts, decentralized ledger technologies, and practical implementation strategies.
- E-Commerce Supply Chain Management: Tailored for students interested in digital commerce, this course addresses the unique challenges of managing inventory, order fulfillment, and customer service in e-commerce environments. It includes case studies from leading platforms like Amazon and Flipkart.
- Logistics Network Design: This course covers strategic aspects of designing efficient logistics networks, including warehouse location decisions, transportation route optimization, and distribution center layouts using simulation models.
- Digital Transformation in Supply Chain: Examines how emerging technologies like IoT, AI, and automation are reshaping supply chain operations. Students gain hands-on experience with platforms like SAP S/4HANA and Microsoft Dynamics 365.
- Supply Chain Risk Assessment and Mitigation: This course teaches students to identify, evaluate, and manage risks in global supply chains, including geopolitical threats, natural disasters, and cybersecurity vulnerabilities.
- Healthcare Supply Chain Management: Specialized focus on the unique demands of managing supply chains within healthcare systems, covering pharmaceutical distribution, medical device logistics, and regulatory compliance issues.
- Customer Demand Forecasting Techniques: Students learn various forecasting methods including time series analysis, regression models, and machine learning algorithms to predict consumer demand accurately and reduce stockouts or overstock situations.
Project-Based Learning Philosophy
The department strongly believes in experiential learning through project-based assignments. Mini-projects are introduced starting from the second year, allowing students to apply theoretical knowledge in practical settings. These projects typically span one semester and involve working in small teams under faculty supervision.
Final-year capstone projects are more comprehensive and can be either industry-sponsored or self-initiated. Students select their projects based on personal interests and career goals, often aligning with ongoing research initiatives led by faculty members.
Evaluation criteria for projects include presentation quality, technical execution, innovation, impact assessment, and teamwork dynamics. Faculty mentors play a crucial role in guiding students through each phase of the project lifecycle, from ideation to implementation and final reporting.