Course Structure Across 8 Semesters
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | MATH101 | Mathematics I | 3-1-0-4 | - |
1 | PHYS101 | Physics for Engineers | 3-1-0-4 | - |
1 | CHEM101 | Chemistry for Engineering | 3-1-0-4 | - |
1 | ENGG101 | Introduction to Engineering | 2-0-0-2 | - |
1 | ECON101 | Principles of Economics | 3-0-0-3 | - |
1 | COMP101 | Programming Fundamentals | 2-0-2-3 | - |
1 | LAB101 | Basic Lab Skills | 0-0-3-2 | - |
2 | MATH201 | Mathematics II | 3-1-0-4 | MATH101 |
2 | PHYS201 | Thermodynamics and Heat Transfer | 3-1-0-4 | PHYS101 |
2 | CHEM201 | Organic Chemistry | 3-1-0-4 | CHEM101 |
2 | ECON201 | Managerial Economics | 3-0-0-3 | ECON101 |
2 | COMP201 | Data Structures and Algorithms | 3-0-2-4 | COMP101 |
2 | LAB201 | Engineering Lab I | 0-0-3-2 | - |
3 | MATH301 | Probability and Statistics | 3-1-0-4 | MATH201 |
3 | ECON301 | Business Strategy | 3-0-0-3 | ECON201 |
3 | COMP301 | Database Management Systems | 3-0-2-4 | COMP201 |
3 | SCM301 | Introduction to Supply Chain Management | 3-0-0-3 | - |
3 | LAB301 | Operations Lab | 0-0-3-2 | - |
4 | MATH401 | Advanced Mathematics | 3-1-0-4 | MATH301 |
4 | SCM401 | Supply Chain Design | 3-0-0-3 | SCM301 |
4 | COMP401 | Artificial Intelligence and Machine Learning | 3-0-2-4 | COMP301 |
4 | LAB401 | Advanced Lab I | 0-0-3-2 | - |
5 | SCM501 | Operations Research | 3-0-0-3 | MATH401 |
5 | SCM502 | Inventory Management | 3-0-0-3 | SCM401 |
5 | SCM503 | Transportation Systems | 3-0-0-3 | SCM401 |
5 | LAB501 | Supply Chain Lab | 0-0-3-2 | - |
6 | SCM601 | Digital Supply Chain | 3-0-0-3 | SCM501 |
6 | SCM602 | Sustainability in Logistics | 3-0-0-3 | SCM502 |
6 | SCM603 | Risk Management in Supply Chains | 3-0-0-3 | SCM501 |
6 | LAB601 | Analytics Lab | 0-0-3-2 | - |
7 | SCM701 | International Trade | 3-0-0-3 | SCM501 |
7 | SCM702 | Procurement Strategy | 3-0-0-3 | SCM502 |
7 | SCM703 | Supply Chain Analytics | 3-0-0-3 | SCM601 |
7 | LAB701 | Simulation Lab | 0-0-3-2 | - |
8 | SCM801 | Capstone Project | 0-0-6-9 | All Core Courses |
8 | SCM802 | Supply Chain Innovation | 3-0-0-3 | - |
8 | SCM803 | Internship | 0-0-6-9 | - |
8 | LAB801 | Final Project Lab | 0-0-3-2 | - |
Detailed Elective Course Descriptions
The department offers a range of advanced elective courses designed to provide students with specialized knowledge and practical skills in various areas of supply chain management. These courses are taught by faculty members who are experts in their respective fields and have extensive industry experience.
Supply Chain Analytics and Data Science (SCM603)
This course focuses on applying data analytics techniques to solve real-world supply chain problems. Students learn how to use statistical models, machine learning algorithms, and predictive analytics to optimize decision-making processes in logistics, inventory management, and demand forecasting. The course includes hands-on projects using tools like Python, R, and SQL.
Sustainability in Logistics (SCM602)
This course examines the role of sustainability in modern supply chains. Students explore topics such as carbon footprint reduction, green logistics practices, circular economy principles, and corporate social responsibility within global supply networks. Case studies from leading companies demonstrate how organizations integrate sustainability into their operations.
Risk Management in Supply Chains (SCM601)
This course provides students with the theoretical and practical knowledge needed to identify, assess, and mitigate risks in complex supply chains. Topics include supply chain disruption management, cybersecurity threats, geopolitical risks, and business continuity planning. Students engage in simulations and case studies that reflect current industry challenges.
International Trade (SCM701)
This course analyzes the impact of international trade on global supply chains. Students examine customs regulations, international shipping practices, cross-border logistics, and trade policies. The course includes guest lectures from international trade specialists and visits to customs facilities and shipping ports.
Procurement Strategy (SCM702)
This elective explores the strategic aspects of procurement within supply chains. Students learn about supplier selection criteria, contract negotiation techniques, supplier relationship management, and ethical sourcing practices. The course includes simulations where students act as procurement managers for large organizations.
Supply Chain Optimization (SCM703)
This advanced course focuses on mathematical modeling and optimization techniques applied to supply chain problems. Students develop expertise in linear programming, network flow models, and simulation methods used to enhance efficiency and reduce costs across supply chain networks.
Digital Supply Chain Management (SCM601)
This course delves into the integration of digital technologies in supply chain operations. Students study topics such as IoT applications, blockchain implementation, automation in warehouses, and AI-powered decision support systems. The curriculum emphasizes real-world applications through industry partnerships and hands-on lab work.
Consumer Goods Supply Chain (SCM703)
This course provides an overview of supply chain challenges specific to consumer goods industries. Students examine seasonal demand fluctuations, product lifecycle management, retail channel strategies, and promotional planning. The course includes visits to major consumer goods manufacturers and retailers.
Healthcare Supply Chain Operations (SCM702)
This specialized elective focuses on supply chain challenges in healthcare settings. Topics include pharmaceutical distribution, medical device logistics, inventory control in hospitals, and regulatory compliance in healthcare supply chains. Students learn about unique considerations such as cold chain management and emergency preparedness.
Supply Chain Innovation (SCM801)
This course encourages students to think creatively about future trends in supply chain management. Topics include emerging technologies, sustainable innovation practices, and disruptive business models. Students work on innovative projects that could lead to patents or startup ventures.
Project-Based Learning Philosophy
The Supply Chain Management program at ARIHANT COLLEGE places a strong emphasis on project-based learning as a core component of student development. The approach is designed to bridge the gap between academic theory and real-world practice, ensuring that students are equipped with the skills and experiences needed for successful careers in supply chain management.
The mandatory mini-projects introduced during the third year allow students to apply their knowledge to practical problems within local or regional supply chains. These projects typically last 8-12 weeks and involve working closely with faculty mentors from the department and industry partners. Students are encouraged to collaborate with peers from other disciplines, fostering cross-functional communication skills essential in modern business environments.
For the final-year capstone project, students engage in an intensive, year-long endeavor that mirrors real-world supply chain consulting projects. Teams of 3-5 students work on a problem identified by an industry partner or selected from current research initiatives within the department. The project involves extensive data collection, analysis, and presentation of findings to stakeholders.
Faculty mentors are selected based on their expertise in relevant areas of supply chain management and their track record in guiding student projects. Each mentor works closely with their team to ensure that students receive adequate support throughout the project lifecycle. Regular meetings, progress reviews, and feedback sessions are integral components of this process.
The evaluation criteria for both mini-projects and capstone projects include technical competence, innovation, teamwork, presentation skills, and impact on the proposed solution. Students must demonstrate their ability to conduct independent research, synthesize information from multiple sources, and communicate complex ideas clearly and effectively.