Course Structure Overview
The Supply Chain Management program at MAHARISHI CENTRE FOR EDUCATIONAL EXCELLENCE is structured over 8 semesters, with each semester containing a mix of core courses, departmental electives, science electives, and laboratory sessions. The curriculum is designed to provide students with both theoretical knowledge and practical application through experiential learning.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | ENG101 | English for Communication | 3-0-0-3 | None |
| I | MAT101 | Calculus I | 4-0-0-4 | None |
| I | PHY101 | Physics for Engineers | 3-0-0-3 | None |
| I | CHE101 | Chemistry | 3-0-0-3 | None |
| I | CS101 | Introduction to Programming | 2-0-2-4 | None |
| I | BMS101 | Business Management Fundamentals | 3-0-0-3 | None |
| I | LAB101 | Programming Lab | 0-0-2-2 | CS101 |
| II | MAT102 | Calculus II | 4-0-0-4 | MAT101 |
| II | ENG102 | Technical Writing | 3-0-0-3 | ENG101 |
| II | MECH101 | Engineering Mechanics | 3-0-0-3 | PHY101 |
| II | ELEC101 | Basic Electrical Circuits | 3-0-0-3 | None |
| II | CS102 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| II | BMS102 | Introduction to Operations Management | 3-0-0-3 | None |
| II | LAB102 | Data Structures Lab | 0-0-2-2 | CS102 |
| III | MAT201 | Linear Algebra | 3-0-0-3 | MAT102 |
| III | STAT101 | Probability and Statistics | 3-0-0-3 | MAT102 |
| III | MECH102 | Thermodynamics | 3-0-0-3 | MECH101 |
| III | ELEC102 | Electronics | 3-0-0-3 | ELEC101 |
| III | CS201 | Database Management Systems | 3-0-0-3 | CS102 |
| III | SCM101 | Introduction to Supply Chain Management | 3-0-0-3 | BMS102 |
| III | LAB201 | Database Lab | 0-0-2-2 | CS201 |
| IV | MAT202 | Differential Equations | 3-0-0-3 | MAT201 |
| IV | STAT201 | Applied Statistics | 3-0-0-3 | STAT101 |
| IV | MECH201 | Mechanics of Materials | 3-0-0-3 | MECH102 |
| IV | ELEC201 | Signals and Systems | 3-0-0-3 | ELEC102 |
| IV | CS202 | Computer Architecture | 3-0-0-3 | CS201 |
| IV | SCM201 | Supply Chain Logistics | 3-0-0-3 | SCM101 |
| IV | LAB202 | Computer Architecture Lab | 0-0-2-2 | CS202 |
| V | MAT301 | Numerical Methods | 3-0-0-3 | MAT202 |
| V | STAT301 | Regression Analysis | 3-0-0-3 | STAT201 |
| V | SCM301 | Inventory Management | 3-0-0-3 | SCM201 |
| V | SCM302 | Transportation Systems | 3-0-0-3 | SCM201 |
| V | SCM303 | Risk Assessment in Supply Chains | 3-0-0-3 | SCM201 |
| V | CS301 | Machine Learning Fundamentals | 3-0-0-3 | CS202 |
| V | LAB301 | Mini Project Lab | 0-0-4-4 | None |
| VI | MAT302 | Optimization Techniques | 3-0-0-3 | MAT301 |
| VI | SCM401 | Demand Forecasting | 3-0-0-3 | SCM301 |
| VI | SCM402 | Supplier Relationship Management | 3-0-0-3 | SCM302 |
| VI | SCM403 | Sustainable Supply Chain Practices | 3-0-0-3 | SCM301 |
| VI | CS401 | Advanced Data Analytics | 3-0-0-3 | CS301 |
| VI | LAB401 | Analytics Lab | 0-0-2-2 | CS401 |
| VII | SCM501 | Supply Chain Innovation and Digital Transformation | 3-0-0-3 | SCM401 |
| VII | SCM502 | Global Supply Chain Strategy | 3-0-0-3 | SCM402 |
| VII | SCM503 | Blockchain Applications in Logistics | 3-0-0-3 | SCM403 |
| VII | CS501 | Cloud Computing for Supply Chains | 3-0-0-3 | CS401 |
| VII | LAB501 | Capstone Project Lab | 0-0-6-6 | None |
| VIII | SCM601 | Advanced Supply Chain Research | 3-0-0-3 | SCM501 |
| VIII | SCM602 | Internship | 0-0-0-10 | None |
| VIII | SCM603 | Final Year Thesis | 0-0-0-12 | SCM601 |
Advanced Departmental Electives
The department offers several advanced elective courses designed to deepen students' understanding of specialized areas within supply chain management. These courses are taught by leading faculty members and incorporate real-world case studies, industry data, and research-driven insights.
1. Supply Chain Analytics and Data Science
This course focuses on applying statistical and machine learning techniques to supply chain problems. Students learn how to extract actionable insights from large datasets using tools like Python, R, and SQL. Topics include demand forecasting, inventory optimization, route planning, and anomaly detection in supply chain networks.
2. Sustainable Supply Chain Management
This elective explores environmental and social responsibility in supply chains. Students examine carbon footprint reduction strategies, circular economy models, ethical sourcing practices, and compliance with global sustainability standards such as ISO 14001 and the UN Sustainable Development Goals.
3. Global Logistics and International Trade
Designed for students interested in cross-border operations, this course covers international logistics systems, customs regulations, trade finance, maritime and air freight, import/export documentation, and geopolitical risks affecting global supply chains.
4. Supply Chain Innovation and Digital Transformation
This course examines how emerging technologies such as IoT, blockchain, AI, and robotics are transforming traditional supply chain processes. Students explore innovation frameworks, digital twin modeling, smart warehouse automation, and the integration of new tech into existing supply chain infrastructures.
5. Procurement and Supplier Management
This course provides comprehensive training in procurement strategies, supplier evaluation techniques, contract negotiation, vendor relationship management, and strategic sourcing. Students gain hands-on experience through simulations and case studies involving multinational corporations.
6. Operations Research in Supply Chains
Students learn mathematical optimization methods to solve complex supply chain problems. This includes linear programming, network flow models, integer programming, queuing theory, and simulation techniques for decision-making under uncertainty.
7. Risk Management and Business Continuity
This elective prepares students to identify, assess, and mitigate risks in global supply chains. Topics include business continuity planning, disaster recovery strategies, cybersecurity threats, cyber-attacks on supply chain systems, and resilience building techniques.
8. E-commerce and Retail Supply Chain
Students study the unique challenges of online retail logistics, including last-mile delivery optimization, warehouse management, customer experience design, reverse logistics, and demand prediction in dynamic e-commerce environments.
9. Supply Chain Finance
This course explores financial aspects of supply chains, including working capital management, supply chain cost analysis, trade finance, risk-based pricing, and financial modeling for supply chain investments. Students also learn about supply chain financing mechanisms like factoring and invoice discounting.
10. Smart Manufacturing and Industry 4.0
Students explore the intersection of manufacturing and supply chains in the context of Industry 4.0. This includes topics such as smart factories, IoT integration, predictive maintenance, digital twins, and automated supply chain systems.
Project-Based Learning Philosophy
Our department strongly believes in experiential learning through project-based assignments. Students engage in both mini-projects during earlier semesters and a major capstone project in their final year. The goal is to apply theoretical knowledge to real-world scenarios, develop teamwork skills, and build professional portfolios.
Mini-Projects (Semester V)
In Semester V, students work on mini-projects under faculty supervision. These projects are typically team-based and focus on specific aspects of supply chain management such as demand forecasting, supplier evaluation, or route optimization. Projects are selected based on student interests and industry relevance.
Final-Year Thesis/Capstone Project (Semester VII & VIII)
In the final two semesters, students undertake a comprehensive capstone project that integrates all concepts learned throughout the program. Students can choose from industry-sponsored projects or propose their own research questions. Each project is supervised by a faculty mentor and evaluated based on innovation, feasibility, impact, and presentation quality.
Project Selection Process
The selection process involves several stages:
- Ideation Phase: Students brainstorm ideas based on their interests and industry trends.
- Proposal Submission: Detailed project proposals are submitted, including objectives, methodology, timeline, and expected outcomes.
- Mentor Assignment: Faculty mentors are assigned based on expertise alignment.
- Progress Reviews: Regular reviews ensure adherence to timelines and quality standards.
- Presentation and Evaluation: Final presentations are held in front of a panel of faculty members and industry experts.