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Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Seats
150
Students
600
Seats
150
Students
600
| Semester | Course Code | Course Title | Credit (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | IM-101 | Basic Electrical Engineering | 3-0-0-3 | - |
| I | IM-102 | Mechanical Engineering Fundamentals | 3-0-0-3 | - |
| I | IM-103 | Introduction to Industrial Systems | 3-0-0-3 | - |
| I | IM-104 | Engineering Graphics and Drafting | 2-0-0-2 | - |
| I | IM-105 | Mathematics for Industrial Applications | 3-0-0-3 | - |
| I | IM-106 | Physics for Engineering Students | 3-0-0-3 | - |
| I | IM-107 | Computer Applications in Engineering | 2-0-0-2 | - |
| II | IM-201 | Machine Design | 3-0-0-3 | IM-102 |
| II | IM-202 | Materials Science | 3-0-0-3 | IM-102 |
| II | IM-203 | Applied Thermodynamics | 3-0-0-3 | IM-102 |
| II | IM-204 | Industrial Safety and Environment | 3-0-0-3 | - |
| II | IM-205 | Statistics for Engineering Applications | 3-0-0-3 | IM-105 |
| II | IM-206 | Technical Communication | 2-0-0-2 | - |
| III | IM-301 | Automation and Control Systems | 3-0-0-3 | IM-201, IM-101 |
| III | IM-302 | Industrial Robotics | 3-0-0-3 | IM-201 |
| III | IM-303 | Predictive Maintenance Techniques | 3-0-0-3 | IM-201, IM-105 |
| III | IM-304 | Data Analysis for Industrial Systems | 3-0-0-3 | IM-205 |
| III | IM-305 | Maintenance Planning and Scheduling | 3-0-0-3 | - |
| III | IM-306 | Industrial Diagnostics and Testing | 2-0-0-2 | IM-201 |
| IV | IM-401 | Advanced Materials in Industrial Applications | 3-0-0-3 | IM-202 |
| IV | IM-402 | Sustainable Maintenance Practices | 3-0-0-3 | - |
| IV | IM-403 | Quality Assurance and Reliability Engineering | 3-0-0-3 | - |
| IV | IM-404 | Energy Efficiency Optimization | 3-0-0-3 | IM-203 |
| IV | IM-405 | Industrial Data Analytics | 3-0-0-3 | IM-304 |
| IV | IM-406 | Capstone Project I | 2-0-0-2 | - |
| V | IM-501 | Research Methodology and Scientific Writing | 2-0-0-2 | - |
| V | IM-502 | Industrial Maintenance Management | 3-0-0-3 | - |
| V | IM-503 | Project Engineering and Design | 3-0-0-3 | - |
| V | IM-504 | Capstone Project II | 4-0-0-4 | - |
| V | IM-505 | Internship Preparation and Career Guidance | 1-0-0-1 | - |
| V | IM-506 | Professional Ethics in Engineering | 2-0-0-2 | - |
| VI | IM-601 | Advanced Automation Systems | 3-0-0-3 | IM-301 |
| VI | IM-602 | Digital Transformation in Industry | 3-0-0-3 | - |
| VI | IM-603 | Capstone Project III | 4-0-0-4 | - |
| VI | IM-604 | Elective Course I | 3-0-0-3 | - |
| VI | IM-605 | Elective Course II | 3-0-0-3 | - |
| VI | IM-606 | Industry Internship | 4-0-0-4 | - |
Each course in our Industrial Maintenance program is designed to provide students with a comprehensive understanding of specific aspects of industrial systems and maintenance practices.
Predictive Maintenance Techniques: This course introduces students to modern methods for predicting equipment failures using statistical models, machine learning algorithms, and sensor data analysis. Students learn how to develop predictive models that can reduce unplanned downtime and optimize maintenance schedules.
Data Analysis for Industrial Systems: Focused on the application of statistical tools and techniques in analyzing industrial data, this course prepares students to interpret complex datasets and extract meaningful insights that inform decision-making processes in maintenance planning.
Industrial Diagnostics and Testing: This course covers various diagnostic methods used in identifying faults in industrial equipment. Students gain hands-on experience with diagnostic tools such as vibration analyzers, thermal imagers, and motor analyzers to troubleshoot issues efficiently.
Maintenance Planning and Scheduling: Students explore the principles of maintenance planning, including resource allocation, scheduling optimization, and risk assessment. The course emphasizes practical skills needed to manage large-scale maintenance operations effectively.
Advanced Materials in Industrial Applications: This course delves into the properties and applications of advanced materials used in industrial environments. Topics include composites, ceramics, and smart materials that enhance performance and durability of industrial assets.
Sustainable Maintenance Practices: Addressing environmental sustainability, this course teaches students how to implement maintenance practices that minimize waste, reduce energy consumption, and promote eco-friendly operations within industrial settings.
Quality Assurance and Reliability Engineering: Students learn about quality control methods and reliability engineering principles that ensure industrial systems perform consistently over time. The course includes case studies from various industries to illustrate best practices in maintaining system integrity.
Energy Efficiency Optimization: This elective focuses on strategies for optimizing energy usage in industrial environments through improved maintenance practices, advanced monitoring technologies, and systematic analysis of energy consumption patterns.
Industrial Data Analytics: Utilizing real-world datasets from industrial environments, this course teaches students to apply analytical tools and frameworks for extracting insights that improve maintenance outcomes and operational efficiency.
Capstone Project I: This foundational project allows students to work on a real-world maintenance challenge under faculty supervision. It introduces students to the research process, data collection, and initial problem-solving strategies in industrial maintenance contexts.
Project Engineering and Design: Students engage in designing and implementing engineering solutions for specific maintenance problems. The course emphasizes creativity, innovation, and technical feasibility in project development.
Our department strongly believes in project-based learning as a transformative educational approach that bridges the gap between theory and practice. Projects are structured to simulate real-world scenarios, allowing students to apply their knowledge in meaningful ways while developing essential professional skills.
The mandatory mini-projects begin in the third year and involve collaborative work with industry partners or faculty-led initiatives. These projects typically span several months and require students to identify problems, propose solutions, implement strategies, and present findings to stakeholders.
Final-year capstone projects are extensive, requiring students to conduct independent research or develop innovative maintenance solutions. Students select their projects in consultation with faculty mentors who guide them through the entire process, from conceptualization to final presentation.
Evaluation criteria for projects include technical depth, innovation, clarity of communication, teamwork, and adherence to deadlines. Faculty members evaluate student performance based on both individual contributions and collective outcomes, ensuring a balanced assessment of learning achievements.
