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Fees
₹8,50,000
Placement
92.0%
Avg Package
₹7,50,000
Highest Package
₹18,00,000
Fees
₹8,50,000
Placement
92.0%
Avg Package
₹7,50,000
Highest Package
₹18,00,000
Seats
150
Students
300
Seats
150
Students
300
The B.Tech in Logistics at Universal Skilltech University Maharashtra follows a structured academic calendar spanning eight semesters. Each semester is designed to progressively build upon previously acquired knowledge, ensuring students develop both theoretical understanding and practical skills essential for professional success.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | ENG101 | Engineering Mathematics I | 3-1-0-4 | None |
| 1 | ENG102 | Physics for Engineers | 3-1-0-4 | None |
| 1 | ENG103 | Chemistry for Engineers | 3-1-0-4 | None |
| 1 | ENG104 | Introduction to Computer Programming | 3-0-2-4 | None |
| 1 | ENG105 | Engineering Drawing & Design | 2-1-0-3 | None |
| 1 | ENG106 | Workshop Practice I | 0-0-4-2 | None |
| 2 | ENG201 | Engineering Mathematics II | 3-1-0-4 | ENG101 |
| 2 | ENG202 | Electrical & Electronic Circuits | 3-1-0-4 | ENG102 |
| 2 | ENG203 | Materials Science | 3-1-0-4 | ENG103 |
| 2 | ENG204 | Data Structures & Algorithms | 3-0-2-4 | ENG104 |
| 2 | ENG205 | Principles of Management | 3-0-0-3 | None |
| 2 | ENG206 | Workshop Practice II | 0-0-4-2 | ENG106 |
| 3 | LOG301 | Fundamentals of Logistics | 3-1-0-4 | ENG205 |
| 3 | LOG302 | Supply Chain Analytics | 3-1-0-4 | ENG201 |
| 3 | LOG303 | Transportation Systems | 3-1-0-4 | ENG202 |
| 3 | LOG304 | Inventory Management | 3-1-0-4 | LOG301 |
| 3 | LOG305 | Warehouse Logistics | 3-1-0-4 | LOG301 |
| 3 | LOG306 | Operations Research | 3-1-0-4 | ENG201 |
| 4 | LOG401 | Logistics Network Design | 3-1-0-4 | LOG301 |
| 4 | LOG402 | Digital Logistics | 3-1-0-4 | LOG302 |
| 4 | LOG403 | Sustainable Supply Chain | 3-1-0-4 | LOG301 |
| 4 | LOG404 | International Trade & Customs | 3-1-0-4 | LOG301 |
| 4 | LOG405 | Cybersecurity in Logistics | 3-1-0-4 | LOG302 |
| 4 | LOG406 | Logistics Lab I | 0-0-4-2 | LOG301 |
| 5 | LOG501 | Advanced Supply Chain Strategy | 3-1-0-4 | LOG401 |
| 5 | LOG502 | AI in Supply Chain | 3-1-0-4 | LOG402 |
| 5 | LOG503 | Risk Management in Logistics | 3-1-0-4 | LOG401 |
| 5 | LOG504 | Warehouse Automation | 3-1-0-4 | LOG403 |
| 5 | LOG505 | Logistics Project Management | 3-1-0-4 | LOG401 |
| 5 | LOG506 | Logistics Lab II | 0-0-4-2 | LOG406 |
| 6 | LOG601 | Blockchain in Logistics | 3-1-0-4 | LOG502 |
| 6 | LOG602 | Supply Chain Optimization | 3-1-0-4 | LOG501 |
| 6 | LOG603 | Transportation Planning & Design | 3-1-0-4 | LOG403 |
| 6 | LOG604 | International Logistics | 3-1-0-4 | LOG404 |
| 6 | LOG605 | Industry Internship | 0-0-0-8 | All previous semesters |
| 7 | LOG701 | Thesis Proposal & Research Methodology | 2-0-0-3 | All previous semesters |
| 7 | LOG702 | Advanced Topics in Logistics | 3-1-0-4 | LOG601 |
| 7 | LOG703 | Logistics Capstone Project | 0-0-8-6 | LOG605 |
| 7 | LOG704 | Elective I | 3-1-0-4 | None |
| 7 | LOG705 | Elective II | 3-1-0-4 | None |
| 8 | LOG801 | Final Thesis & Presentation | 0-0-12-10 | LOG703 |
| 8 | LOG802 | Elective III | 3-1-0-4 | None |
| 8 | LOG803 | Elective IV | 3-1-0-4 | None |
The department places significant emphasis on offering advanced departmental electives that align with current industry trends and emerging technologies. These courses are designed to deepen students' understanding of specialized topics within logistics while providing them with practical skills needed for real-world applications.
This course explores strategic frameworks and tools used in designing and managing complex supply chains across global markets. Students will learn how to analyze market dynamics, assess risks, and develop strategies that ensure competitiveness and sustainability. The curriculum covers topics such as vertical integration, outsourcing decisions, supplier relationship management, and performance metrics for supply chain operations.
As artificial intelligence becomes increasingly integral to logistics operations, this course focuses on applying machine learning algorithms to solve supply chain challenges. Students will study neural networks, clustering techniques, and reinforcement learning models designed to predict demand, optimize inventory levels, and improve delivery routes. Practical sessions involve working with real datasets using Python-based libraries like TensorFlow and Scikit-learn.
Understanding and mitigating risks is critical for maintaining supply chain resilience in volatile environments. This course examines various types of risks, including geopolitical, natural disasters, cyber threats, and supplier failures. Students will develop risk assessment methodologies, learn to implement mitigation strategies, and practice crisis response planning through simulations and case studies.
This course introduces students to the latest technologies used in automated warehouses, including robotics, conveyor systems, barcode scanning, and warehouse management software. Through laboratory sessions, students gain hands-on experience with simulation tools like MATLAB and Arena, enabling them to design efficient warehouse layouts and evaluate performance metrics.
This course equips students with project management skills specific to logistics projects. It covers planning, executing, monitoring, and closing logistics initiatives while considering scope, time, cost, quality, and stakeholder expectations. Students will learn agile methodologies, risk management techniques, and tools such as Gantt charts, PERT diagrams, and earned value analysis.
Blockchain technology holds immense potential for transforming transparency and traceability in logistics networks. This course delves into blockchain fundamentals, smart contracts, distributed ledger technologies, and their applications in supply chain tracking, product authenticity verification, and cross-border trade documentation. Students will also explore real-world case studies involving Walmart, IBM, and Maersk.
This course focuses on mathematical optimization techniques applied to logistics problems. Topics include linear programming, integer programming, network flow models, and metaheuristics for solving large-scale supply chain optimization challenges. Students will apply these methods using specialized software tools such as Gurobi, CPLEX, and Excel Solver.
Students will learn about transportation infrastructure design, route planning, fleet sizing, and capacity utilization. The course covers both urban and intercity transportation systems, examining how they impact logistics efficiency and environmental sustainability. Practical components include modeling transport networks using GIS tools and analyzing traffic flow patterns.
This elective provides an overview of international trade regulations, customs procedures, documentation requirements, and cross-border logistics challenges. Students will examine the role of ports, airports, and border crossings in global supply chains, and study strategies for managing multinational logistics operations effectively.
The industry internship component allows students to apply their academic knowledge in real-world settings. Placements are arranged with top logistics companies where students work on actual projects under supervision from experienced professionals. This experience enhances practical skills, builds professional networks, and increases employability upon graduation.
The department strongly advocates for project-based learning as a means to bridge the gap between theory and practice. Projects are structured to mirror real-world logistics challenges, encouraging students to collaborate with peers, engage in critical thinking, and develop innovative solutions using available resources.
Throughout the program, students undertake mini-projects that span one to two semesters. These projects typically involve analyzing a specific aspect of supply chain management, such as demand forecasting for a retail chain or optimizing delivery routes for an e-commerce platform. Students select projects based on their interests and career goals, with faculty guidance provided throughout the process.
The final-year capstone project is a comprehensive endeavor that integrates all learned concepts and demonstrates mastery over complex logistics problems. Students are expected to identify a significant issue in the field, conduct thorough research, propose a solution, and present findings to faculty members and industry experts. The project culminates in a written thesis and oral presentation.
Each student is assigned a faculty mentor who guides them through their academic journey and project development. Mentors provide regular feedback, recommend relevant literature, and facilitate connections with professionals in the field. This personalized approach ensures that students receive tailored support throughout their studies.
