
M-TECH in Quality Engineering Design And Manufacturing at Indian Institute of Technology Kharagpur

Paschim Medinipur, West Bengal
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About the Specialization
What is Quality Engineering Design and Manufacturing at Indian Institute of Technology Kharagpur Paschim Medinipur?
This Quality Engineering Design and Manufacturing program at Indian Institute of Technology Kharagpur, as per its historical curriculum, focused on integrating design principles with advanced manufacturing and quality methodologies. It addressed the critical need in Indian industries for professionals skilled in ensuring product excellence, process efficiency, and reliability throughout the product lifecycle. The program aimed to create leaders who could drive innovation and maintain high standards in a competitive global market.
Who Should Apply?
This program, when offered, was ideal for engineering graduates, especially from mechanical, industrial, production, and manufacturing backgrounds, seeking to specialize in quality assurance, design optimization, and advanced manufacturing techniques. It also benefited working professionals aiming to upgrade their skills in lean manufacturing, Six Sigma, supply chain quality, and sustainable production practices, enabling them to take on leadership roles in Indian manufacturing and service sectors.
Why Choose This Course?
Graduates of such a program can expect promising career paths in Indian manufacturing, automotive, aerospace, electronics, and service industries. Roles include Quality Engineer, Design Engineer, Process Improvement Specialist, Manufacturing Consultant, and Reliability Analyst. Entry-level salaries typically range from INR 7-12 LPA, with experienced professionals earning INR 20-40 LPA or more. The curriculum aligns with certifications like ASQ Six Sigma Black Belt and Lean Manufacturing principles, enhancing employability.

Student Success Practices
Foundation Stage
Build Strong Analytical and Statistical Foundations- (Semester 1-2)
Dedicate significant effort to mastering core subjects like Statistical Methods for Engineers and Design for Quality, Reliability & Maintainability. Form study groups to solve complex problems and apply theoretical concepts using software like Minitab or R. Participate in departmental quizzes focused on statistical process control.
Tools & Resources
Minitab, R statistical software, NPTEL courses on Quality Control and Statistical Inference, Textbooks by Montgomery
Career Connection
A solid foundation in statistics and quality tools is indispensable for roles in quality assurance, process improvement, and data-driven decision making in any manufacturing or service industry.
Gain Hands-on Experience with Manufacturing Technologies- (Semester 1-2)
Actively engage in laboratory sessions for Quality Engineering and Design Lab and Advanced Manufacturing Lab. Seek opportunities to work on practical projects involving CMM, CNC machines, rapid prototyping, and non-conventional machining. Volunteer for departmental workshops on advanced manufacturing techniques.
Tools & Resources
University labs, SolidWorks, AutoCAD, Simulation software (e.g., Ansys for design), Online manufacturing tutorials
Career Connection
Practical exposure to manufacturing technologies makes graduates highly desirable for R&D, production engineering, and design roles, enabling them to bridge the gap between theoretical knowledge and industrial application.
Cultivate Problem-Solving Mindset Through Case Studies- (Semester 1-2)
Beyond textbooks, regularly read industry case studies on quality failures, design challenges, and successful manufacturing implementations. Participate in discussions with professors and peers, analyzing root causes and proposing solutions. Look for industry-specific journals and magazines.
Tools & Resources
Harvard Business Review case studies, Quality and manufacturing journals (e.g., Journal of Quality Technology, International Journal of Production Research), Industry blogs
Career Connection
Developing a structured problem-solving approach is crucial for roles requiring continuous improvement, fault diagnosis, and innovative solution generation in fast-paced industrial environments.
Intermediate Stage
Pursue Industry-Relevant Electives and Certifications- (Semester 3)
Strategically choose elective courses that align with specific career interests (e.g., Six Sigma, Supply Chain Quality Management, Product Design). Concurrently, prepare for and obtain industry-recognized certifications like ASQ Six Sigma Green/Black Belt to enhance marketability.
Tools & Resources
ASQ certification body, Online learning platforms (Coursera, edX) for related courses, Specific software for chosen electives (e.g., Arena for simulation)
Career Connection
Specializing through electives and certifications demonstrates focused expertise, making candidates highly attractive for specialized roles and often leading to higher starting salaries in the Indian job market.
Engage in Research and Project Work (M.Tech Project Part-I)- (Semester 3)
Begin the M.Tech project with a clear problem statement derived from industrial relevance or current research gaps. Actively seek faculty mentorship and engage in literature reviews to develop a robust methodology. Participate in departmental seminars to present preliminary findings and receive feedback.
Tools & Resources
Research papers (IEEE, Scopus, Google Scholar), Academic writing tools (LaTeX, Mendeley), University library resources, Departmental research labs
Career Connection
A well-executed project showcases independent research capabilities, problem-solving skills, and contributes to a strong resume, critical for R&D roles or further academic pursuits in India.
Network with Industry Professionals and Alumni- (Semester 3)
Attend industry conferences, workshops, and guest lectures organized by the department or professional bodies (e.g., CII, FICCI). Utilize platforms like LinkedIn to connect with alumni and professionals in the quality and manufacturing sector. Seek informational interviews to understand industry trends.
Tools & Resources
LinkedIn, Industry associations (CII, FICCI), IIT KGP alumni network portals
Career Connection
Networking opens doors to internship opportunities, mentorship, and potential job leads that are often not advertised, providing a significant advantage in the competitive Indian job market.
Advanced Stage
Finalize and Defend M.Tech Thesis (M.Tech Project Part-II)- (Semester 4)
Dedicate intense effort to completing the M.Tech project, focusing on rigorous experimentation, data analysis, and deriving significant conclusions. Prepare a compelling thesis document and practice its presentation and defense, incorporating all feedback from supervisors.
Tools & Resources
Research tools, Statistical software, LaTeX for thesis writing, Presentation software (PowerPoint/Keynote), Mock defense sessions
Career Connection
A strong thesis is a testament to advanced problem-solving, analytical, and research skills, crucial for securing roles in R&D, product development, or management consulting within Indian industries.
Tailor Resume & Interview Preparation for Specific Roles- (Semester 4)
Customize your resume and cover letters for target roles (e.g., Quality Analyst, Manufacturing Excellence Lead). Participate in mock interview sessions focusing on technical questions related to quality engineering, manufacturing processes, and design principles, as well as behavioral aspects.
Tools & Resources
Career services cell, Online interview platforms, Industry-specific interview guides
Career Connection
Effective resume building and interview preparation are key to successfully navigating campus placements and securing desirable positions in top Indian and MNC companies.
Explore Entrepreneurial and Innovation Pathways- (Semester 4)
Beyond traditional placements, explore opportunities to innovate and potentially start a venture leveraging the skills gained in quality, design, and manufacturing. Attend workshops on entrepreneurship and engage with the institute''''s innovation ecosystem.
Tools & Resources
IIT KGP Entrepreneurship Cell (E-Cell), Incubation centers, Startup competitions, Government schemes for startups (e.g., Startup India)
Career Connection
Fostering an entrepreneurial mindset can lead to leadership roles in startups, or even founding one''''s own company, contributing to India''''s growing innovation ecosystem.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 4 semesters / 2 years
Credits: 76 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| QE60001 | Design for Quality, Reliability & Maintainability | Core | 3 | Quality philosophies and principles, Statistical process control (SPC), Reliability engineering concepts, Maintainability and availability, Failure Mode and Effects Analysis (FMEA), Taguchi methods for robust design |
| QE60003 | Metrology and Inspection | Core | 3 | Principles of measurement and accuracy, Measurement error analysis, Geometric dimensioning and tolerancing (GD&T), Surface finish measurement, Coordinate Measuring Machines (CMM), Non-destructive testing (NDT) techniques |
| QE60005 | Statistical Methods for Engineers | Core | 3 | Probability theory and distributions, Hypothesis testing and confidence intervals, Analysis of Variance (ANOVA), Regression analysis and correlation, Design of Experiments (DOE) fundamentals |
| ME60003 | Advanced Manufacturing Processes | Core | 3 | Non-conventional machining processes, Rapid prototyping and additive manufacturing, Advanced forming and casting techniques, Advanced welding and joining processes, Surface modification and coating technologies |
| QE60009 | Quality Engineering and Design Lab | Lab | 3 | Statistical process control chart applications, Measurement system analysis (MSA), CMM operation and programming, Reliability testing and data analysis, Experimental design and analysis software |
| Elective I | Elective I (Choice from list e.g., Quality Management Systems, Six Sigma, Product Design & Development) | Elective | 3 | Topics vary based on chosen elective |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| QE60002 | Management of Quality & Productivity | Core | 3 | Total Quality Management (TQM) principles, Lean manufacturing and waste reduction, Six Sigma methodology and tools, Quality awards and certifications (ISO), Productivity measurement and improvement, Change management in quality initiatives |
| QE60004 | Advanced Industrial Engineering | Core | 3 | Facilities planning and layout design, Work study, method study, and time study, Ergonomics and human factors engineering, Production planning and control systems, Operations research techniques, Inventory control models |
| ME60004 | Computer Integrated Manufacturing | Core | 3 | CAD/CAM systems and integration, Computer Aided Process Planning (CAPP), Industrial robotics and automation, Flexible Manufacturing Systems (FMS), Simulation in manufacturing, Industry 4.0 concepts |
| ME60006 | Advanced Engineering Materials | Core | 3 | Advanced ceramics and composites, Smart materials and nanomaterials, Polymers and metallic alloys, Material selection criteria, Failure analysis of materials, Corrosion and wear mechanisms |
| QE60008 | Advanced Manufacturing Lab | Lab | 3 | CNC machining and programming, CAD/CAM software applications, Robotics programming and operation, Rapid prototyping machine operation, Advanced welding techniques demonstration, Measurement of manufacturing process parameters |
| Elective II | Elective II (Choice from list e.g., Advanced Metrology, Design of Experiments for Quality Improvement, Supply Chain Quality Management) | Elective | 3 | Topics vary based on chosen elective |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| Elective III | Elective III | Elective | 3 | Topics vary based on chosen elective |
| Elective IV | Elective IV | Elective | 3 | Topics vary based on chosen elective |
| QE70001 | M.Tech. Project (Part-I) | Project | 14 | Identification of research problem, Extensive literature review, Methodology development and planning, Preliminary data collection and analysis, Project report writing (Phase I), Presentation of progress |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| QE70002 | M.Tech. Project (Part-II) | Project | 20 | Detailed experimental work/simulation, Comprehensive data analysis and interpretation, Discussion of results and findings, Conclusions and future scope, Thesis writing and submission, Final viva voce examination |




