Search and navigate to colleges and courses
Apply
Scholarships & exams
Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,50,000
Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹8,50,000
Seats
300
Students
300
Seats
300
Students
300
The Tool and Die Engineering program at Balwant Singh Mukhiya Bsm College of Polytechnic is structured into eight semesters, with a balanced mix of core courses, departmental electives, science electives, and laboratory sessions. Each semester carries a credit structure that ensures comprehensive coverage of theoretical concepts and practical applications.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| I | EN101 | Engineering Mathematics I | 3-1-0-4 | - |
| I | PH101 | Physics for Engineering | 3-1-0-4 | - |
| I | CH101 | Chemistry for Engineering | 3-1-0-4 | - |
| I | EC101 | Engineering Graphics and Design | 2-1-0-3 | - |
| I | ME101 | Introduction to Manufacturing Processes | 3-1-0-4 | - |
| I | ES101 | Workshop Practice I | 0-0-2-1 | - |
| II | EN102 | Engineering Mathematics II | 3-1-0-4 | EN101 |
| II | PH102 | Applied Physics | 3-1-0-4 | PH101 |
| II | ME102 | Mechanics of Materials | 3-1-0-4 | - |
| II | CS101 | Computer Programming | 2-1-0-3 | - |
| II | ES102 | Workshop Practice II | 0-0-2-1 | ES101 |
| III | ME201 | Mechanical Engineering Materials | 3-1-0-4 | ME102 |
| III | ME202 | Machine Tools and Operations | 3-1-0-4 | ME102 |
| III | ME203 | Tool Design | 3-1-0-4 | ME202 |
| III | CS201 | Data Structures and Algorithms | 3-1-0-4 | CS101 |
| III | ES201 | Workshop Practice III | 0-0-2-1 | ES102 |
| IV | ME301 | Manufacturing Systems | 3-1-0-4 | ME202 |
| IV | ME302 | CNC Programming and Operations | 3-1-0-4 | ME202 |
| IV | ME303 | Advanced Machining Processes | 3-1-0-4 | ME202 |
| IV | ME304 | Industrial Robotics | 3-1-0-4 | - |
| IV | ES301 | Workshop Practice IV | 0-0-2-1 | ES201 |
| V | ME401 | Die Design and Manufacturing | 3-1-0-4 | ME203 |
| V | ME402 | Quality Control and Metrology | 3-1-0-4 | - |
| V | ME403 | Additive Manufacturing Technologies | 3-1-0-4 | - |
| V | ME404 | Advanced Materials for Tooling | 3-1-0-4 | ME201 |
| V | ES401 | Workshop Practice V | 0-0-2-1 | ES301 |
| VI | ME501 | Automation in Manufacturing | 3-1-0-4 | ME301 |
| VI | ME502 | Sustainable Manufacturing Practices | 3-1-0-4 | - |
| VI | ME503 | Research Methodology and Project Planning | 2-0-0-2 | - |
| VI | ES501 | Workshop Practice VI | 0-0-2-1 | ES401 |
| VII | ME601 | Final Year Project I | 0-0-8-6 | - |
| VIII | ME602 | Final Year Project II | 0-0-8-6 | ME601 |
The department offers a range of advanced elective courses designed to provide students with specialized knowledge and skills relevant to current industry trends.
This course focuses on the application of computational methods to optimize tool designs for various manufacturing processes. Students learn about finite element analysis, material selection criteria, stress distribution modeling, and design validation techniques. The course emphasizes practical implementation through case studies involving real-world tooling challenges.
This elective covers advanced topics in CNC programming, including G-code writing, post-processing, machine kinematics, and automation integration. Students gain hands-on experience with modern CNC machines and learn to develop automated solutions for repetitive manufacturing tasks.
This course explores cutting-edge machining technologies such as laser machining, electrical discharge machining (EDM), ultrasonic machining, and micro-machining. Emphasis is placed on process parameters, material compatibility, surface finish control, and tool wear analysis.
This course introduces students to robotic systems used in manufacturing environments, covering robot kinematics, motion planning, sensor integration, and human-robot interaction. Practical sessions involve programming robots for specific machining operations.
This elective delves into the application of 3D printing technologies for creating tooling components and prototypes. Students learn about material properties, printer calibration, design for additive manufacturing (DFAM), and integration with traditional manufacturing processes.
This course provides an in-depth understanding of measurement techniques, quality control methods, statistical process control, and inspection protocols. Students work with coordinate measuring machines (CMM) and other precision instruments to ensure product compliance with industry standards.
This course addresses environmental considerations in manufacturing, covering waste reduction strategies, energy efficiency improvements, recyclability assessment, and life cycle analysis. Students explore sustainable alternatives to conventional tooling methods.
This course explores the development and application of advanced materials such as ceramics, composites, coatings, and superalloys in tooling applications. Emphasis is placed on material properties, processing techniques, performance evaluation, and cost-benefit analysis.
The department strongly believes in project-based learning as a means to develop practical skills and foster innovation among students. The curriculum integrates both mini-projects and a final-year thesis, providing opportunities for students to engage deeply with real-world problems.
Mini-projects are undertaken during the third and fourth years of the program. These projects typically last six weeks and involve small teams working under faculty supervision. Students select projects based on their interests and career goals, with guidance from mentors.
The final-year thesis is a significant component of the program, lasting twelve weeks. Students are expected to conduct independent research or develop an innovative solution to a relevant industry challenge. Projects are selected in consultation with faculty members and may involve collaboration with external organizations.
Projects are evaluated based on multiple criteria including technical depth, innovation, feasibility, presentation quality, and documentation. Students must submit progress reports, present their work to faculty panels, and defend their findings during final evaluation sessions.
Students choose their mentors based on project interests and faculty expertise. Mentors are assigned after initial discussions between students and potential advisors, ensuring alignment between student goals and mentor capabilities.
