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Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Industrial Maintenance

Government Polytechnic Bachalikhal
Duration
4 Years
Industrial Maintenance UG OFFLINE

Duration

4 Years

Industrial Maintenance

Government Polytechnic Bachalikhal
Duration
Apply

Fees

₹1,20,000

Placement

93.5%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Industrial Maintenance
UG
OFFLINE

Fees

₹1,20,000

Placement

93.5%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

180

Students

180

ApplyCollege

Seats

180

Students

180

Curriculum

Comprehensive Course Listing

SemesterCourse CodeCourse TitleCredit (L-T-P-C)Prerequisite
1IM101Engineering Mathematics I3-1-0-4-
1IM102Applied Physics3-1-0-4-
1IM103Basic Electrical and Electronics Principles3-1-0-4-
1IM104Engineering Graphics and Drafting2-1-0-3-
1IM105Communication Skills2-0-0-2-
1IM106Workshop Practice0-0-3-1-
2IM201Engineering Mathematics II3-1-0-4IM101
2IM202Materials Science and Engineering3-1-0-4-
2IM203Mechanics of Materials3-1-0-4-
2IM204Fluid Mechanics3-1-0-4-
2IM205Mechanics of Machines3-1-0-4-
2IM206Thermodynamics3-1-0-4-
3IM301Control Systems3-1-0-4IM201, IM205
3IM302Industrial Instrumentation3-1-0-4-
3IM303Maintenance Engineering3-1-0-4-
3IM304Machine Design3-1-0-4-
3IM305Advanced Manufacturing Processes3-1-0-4-
3IM306Engineering Economics and Costing3-1-0-4-
4IM401Automation and Robotics3-1-0-4IM301, IM302
4IM402Advanced Maintenance Techniques3-1-0-4-
4IM403Project Management3-1-0-4-
4IM404Energy Systems and Sustainability3-1-0-4-
4IM405Process Safety and Risk Management3-1-0-4-
4IM406Quality Assurance and Reliability Engineering3-1-0-4-
5IM501Data Analytics for Maintenance3-1-0-4IM201, IM301
5IM502Predictive Maintenance Technologies3-1-0-4-
5IM503Sensor Network Technologies3-1-0-4-
5IM504Advanced Materials and Corrosion Control3-1-0-4-
5IM505Maintenance Data Management3-1-0-4-
5IM506Environmental Impact Assessment3-1-0-4-
6IM601Capstone Project I2-0-6-8-
6IM602Industrial Internship0-0-4-4-
6IM603Advanced Topics in Maintenance Engineering3-1-0-4-
6IM604Entrepreneurship and Innovation2-0-0-2-
6IM605Professional Ethics and Social Responsibility2-0-0-2-
7IM701Capstone Project II2-0-6-8IM601
7IM702Advanced Research Methodology3-1-0-4-
7IM703Project Thesis0-0-8-12-
7IM704Industry Collaboration Project2-0-6-6-
7IM705Technical Writing and Presentation Skills2-0-0-2-
8IM801Final Year Project0-0-12-16IM703
8IM802Comprehensive Examination0-0-0-4-

Detailed Course Descriptions

Data Analytics for Maintenance (IM501): This course focuses on applying data science techniques to industrial maintenance problems. Students learn about statistical methods, machine learning algorithms, and data visualization tools specifically tailored for predictive maintenance. The curriculum covers time series analysis, regression models, clustering techniques, and anomaly detection in maintenance datasets.

Predictive Maintenance Technologies (IM502): This advanced course explores emerging technologies used in predictive maintenance, including IoT sensors, AI models, and real-time monitoring systems. Students gain hands-on experience with simulation software and learn to design and implement predictive maintenance strategies for complex industrial environments.

Sensor Network Technologies (IM503): Designed to equip students with knowledge of modern sensor technologies and their applications in maintenance engineering. The course covers wireless communication protocols, embedded systems programming, data acquisition networks, and integration challenges in large-scale sensor deployments.

Advanced Materials and Corrosion Control (IM504): This course delves into the properties and behavior of advanced materials under various industrial conditions. Topics include corrosion mechanisms, protective coatings, material selection criteria for specific applications, and lifecycle management strategies to enhance equipment durability and performance.

Maintenance Data Management (IM505): Focuses on organizing, storing, and analyzing large volumes of maintenance data. Students learn about database design, data warehousing concepts, ETL processes, and how to extract actionable insights from historical maintenance records to improve decision-making.

Environmental Impact Assessment (IM506): This interdisciplinary course addresses the environmental implications of industrial maintenance activities. It covers regulatory compliance frameworks, carbon footprint analysis, waste minimization strategies, and sustainable practices that align with global environmental standards.

Capstone Project I (IM601): The first phase of the capstone project involves identifying a real-world problem in maintenance engineering and developing a comprehensive proposal. Students work under faculty supervision to define scope, methodology, and expected outcomes for their research or implementation project.

Industrial Internship (IM602): A structured internship program that places students with leading industrial organizations. The experience provides practical exposure to maintenance operations, company culture, and professional development opportunities while contributing to actual projects.

Advanced Topics in Maintenance Engineering (IM603): This course explores current trends and cutting-edge research in maintenance engineering. Topics include smart maintenance systems, digital twin technology, blockchain in maintenance records, and emerging regulatory requirements affecting industrial operations.

Entrepreneurship and Innovation (IM604): Designed to inspire and prepare students for entrepreneurial ventures in the maintenance sector. The course covers business model development, innovation management, intellectual property rights, funding strategies, and startup creation processes tailored for technical professionals.

Professional Ethics and Social Responsibility (IM605): Emphasizes the ethical considerations and social responsibilities inherent in engineering practice. Students examine case studies involving workplace safety, environmental stewardship, public trust, and professional accountability within the context of industrial maintenance.

Project-Based Learning Philosophy

Our department embraces a project-based learning (PBL) approach that transforms abstract concepts into tangible applications. The philosophy centers on active student engagement, collaborative problem-solving, and real-world relevance in engineering education.

The PBL framework is implemented through a structured progression of mini-projects and capstone initiatives. Students begin with foundational projects in their early semesters, gradually advancing to complex, multidisciplinary challenges that reflect industry needs.

Mini-projects are typically completed within 4-6 weeks and involve small teams working on specific aspects of maintenance engineering. These projects help students develop critical thinking skills, technical competencies, and teamwork abilities essential for professional success.

The final-year thesis/capstone project is a significant undertaking that spans several months. Students select topics aligned with their interests or industry challenges, work closely with faculty mentors, and present their findings to an evaluation panel of experts from academia and industry.

Project selection involves a rigorous process where students submit proposals, undergo peer reviews, and receive mentorship guidance throughout the development cycle. This ensures that each project contributes meaningfully to either academic knowledge or industrial practice.