

M-TECH in Manufacturing Engineering And Automation at COEP Technological University


Pune, Maharashtra
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About the Specialization
What is Manufacturing Engineering and Automation at COEP Technological University Pune?
This Manufacturing Engineering and Automation program at COEP Technological University focuses on advanced concepts in manufacturing processes, systems, and automation. It addresses the growing need for skilled professionals in modern smart factories and Industry 4.0 environments in India. The program emphasizes an interdisciplinary approach, integrating mechanical engineering principles with electronics, control systems, and computer science to create efficient and intelligent manufacturing solutions, crucial for India''''s push towards self-reliance in manufacturing.
Who Should Apply?
This program is ideal for mechanical, production, automobile, and industrial engineering graduates seeking entry into the high-growth manufacturing sector. It also caters to working professionals aiming to upgrade their skills in advanced manufacturing, automation, and robotics for career advancement. Individuals transitioning from design or maintenance roles into production leadership or process optimization will find the curriculum highly beneficial, providing them with the necessary theoretical foundation and practical expertise.
Why Choose This Course?
Graduates can expect diverse career paths in Indian manufacturing companies, ranging from process automation engineer to production manager, robotics specialist, or R&D engineer. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program prepares students for roles in automotive, aerospace, defense, and heavy machinery industries, contributing to India''''s industrial growth and global competitiveness, aligning with national initiatives like Make in India.

Student Success Practices
Foundation Stage
Master Foundational Manufacturing and Automation Concepts- (Semester 1)
Dive deep into subjects like Advanced Materials and Processing, Manufacturing Systems and Automation, and Advanced Stress Analysis. Focus on understanding the principles of modern manufacturing technologies and automation strategies. Actively engage in Manufacturing Engineering and Automation Lab – I to gain practical experience with machining, metrology, and basic automation tools.
Tools & Resources
Official textbooks, NPTEL courses, Lab equipment manuals, SolidWorks/CATIA for basic CAD
Career Connection
Builds the essential technical base required for all entry-level roles in manufacturing engineering and sets the stage for advanced specialization.
Cultivate Early Research Aptitude- (Semester 1)
Develop strong research skills by thoroughly understanding Research Methodology. Start exploring potential dissertation topics by conducting extensive literature reviews related to Manufacturing Engineering and Automation. Actively participate in Seminar – I, focusing on presenting a well-researched topic, enhancing presentation and critical thinking abilities.
Tools & Resources
Google Scholar, Scopus, IEEE Xplore, Mendeley, Zotero, COEP Library''''s digital resources
Career Connection
Crucial for problem identification and structured approach in R&D or advanced engineering roles, and successful dissertation completion.
Build Problem-Solving Skills through Electives- (Semester 1)
Choose electives like Advanced Manufacturing Processes strategically, aligning with your career interests. Focus on understanding the underlying physics and applications of these processes. Attempt to solve design and manufacturing-related problems from textbooks and real-world case studies to enhance your analytical problem-solving capabilities.
Tools & Resources
Specific textbooks for chosen electives, Online simulation tools (if applicable), Industry case studies
Career Connection
Specializes your profile early, making you more appealing for specific roles like additive manufacturing specialist or process engineer.
Intermediate Stage
Apply Statistical Tools for Process Optimization- (Semester 2)
Excel in Design of Experiments (DoE) by applying various experimental designs (e.g., Taguchi, Factorial) to simulated or real-world manufacturing problems. Understand how to statistically analyze data to optimize processes and improve product quality. This skill is highly valued in quality control and continuous improvement roles.
Tools & Resources
Minitab, R, Python (with libraries like SciPy, NumPy), NPTEL course on Design of Experiments
Career Connection
Essential for quality engineer, process improvement specialist, and R&D roles focused on robust design.
Master Advanced Modeling and Automation- (Semester 2)
Focus on Modeling and Simulation of Manufacturing Systems and Industrial Robotics and Automation. Gain proficiency in using simulation software to model complex manufacturing scenarios and optimize system performance. Learn robot programming languages and control concepts through hands-on practice in Manufacturing Engineering and Automation Lab – II.
Tools & Resources
Arena, FlexSim, AnyLogic for simulation, ROS, RobotStudio, LabVIEW for robotics, PLC programming software
Career Connection
Direct path to roles such as simulation engineer, robotics programmer, automation engineer, or manufacturing systems analyst.
Develop Practical Tool Design Expertise- (Semester 2)
Understand the principles of Tool Design for various manufacturing operations. Engage in design projects, even small ones, to create jigs, fixtures, or press tools using CAD software. Focus on material selection, tolerancing, and manufacturing feasibility. This practical skill is highly sought after in tooling and production engineering.
Tools & Resources
SolidWorks, AutoCAD, CATIA, Relevant design handbooks (e.g., PSG Design Data Book)
Career Connection
Qualifies you for roles in tool design, production engineering, and manufacturing process planning.
Advanced Stage
Excel in Dissertation and Research Internship- (Semester 3-4)
Dedicate significant effort to Dissertation Phase – I and II, aiming for a high-quality research output. Utilize the Research Internship to gain practical industry exposure, apply theoretical knowledge to real-world problems, and gather data for your dissertation. Network with industry professionals and seek their guidance for practical insights.
Tools & Resources
Advanced simulation software, Experimental setups, Statistical analysis tools, Academic journal databases, Professional networking platforms (LinkedIn)
Career Connection
Strong dissertation and internship experience are crucial for securing R&D roles, academic positions, and high-impact industry roles.
Specialize through Advanced Electives- (Semester 3-4)
Select Elective IV (e.g., Additive Manufacturing) and Elective V (e.g., Automation in Manufacturing) carefully to build a niche specialization. Deep dive into the chosen area, pursuing certifications or online courses if available, to stand out. Develop expertise in cutting-edge technologies relevant to Industry 4.0.
Tools & Resources
Industry-specific software (e.g., for AM: Netfabb, Magics; for automation: TIA Portal, Studio 5000), Certifications from Siemens, Rockwell Automation
Career Connection
Positions you as a specialist in areas like Additive Manufacturing, Smart Manufacturing, or Industrial Automation, commanding higher value in the job market.
Develop Project Management and Professional Ethics- (Semester 3-4)
Master Project Planning and Management skills, as this is vital for leading teams and projects in any industry. Understand the project lifecycle, scheduling, and risk management. Pay attention to Audit Courses like Constitution of India and Value Education to develop a strong ethical and professional foundation.
Tools & Resources
Microsoft Project, Primavera, Project management methodologies (Agile, Waterfall), Case studies in engineering ethics
Career Connection
Prepares you for leadership and managerial roles, where project execution and ethical decision-making are paramount.
Program Structure and Curriculum
Eligibility:
- Candidate should possess an undergraduate degree in Mechanical Engineering / Production Engineering / Automobile Engineering / Industrial Engineering / Mechatronics Engineering / Marine Engineering / Aerospace Engineering / Manufacturing Engineering / Production and Industrial Engineering / related fields or an equivalent degree recognized by the COEP Technological University. Minimum 50% aggregate marks (45% for backward class categories and persons with disability belonging to Maharashtra State only) in qualifying examination. Valid GATE score in relevant discipline.
Duration: 2 years (4 semesters)
Credits: 84 Credits
Assessment: Internal: 30% (Mid Semester Exam for theory, Term Work for practicals), External: 70% (End Semester Exam for theory, Practical/Oral for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME5101 | Advanced Stress Analysis | Core | 4 | Stress and Strain Analysis, Theories of Failure, Elasticity and Plasticity, Residual Stresses, Contact Stresses, Energy Methods |
| ME5102 | Advanced Materials and Processing | Core | 4 | Advanced Steels and Alloys, Non-Ferrous Alloys, Composite Materials, Smart Materials, Additive Manufacturing Materials, Surface Modification Techniques |
| ME5103 | Research Methodology | Core | 4 | Research Problem Formulation, Literature Survey Techniques, Research Design, Data Collection and Analysis, Statistical Tools in Research, Technical Report Writing |
| ME5104 | Manufacturing Systems and Automation | Core | 4 | Automation Strategies, NC/CNC Technology, Robotics and Material Handling, Flexible Manufacturing Systems, Group Technology, Process Planning |
| ME5105 | Advanced Manufacturing Processes | Elective | 4 | Abrasive Jet Machining, Ultrasonic Machining, Electro-Discharge Machining, Laser Beam Machining, Electron Beam Machining, Plasma Arc Machining |
| ME5106 | Manufacturing Engineering and Automation Lab – I | Lab | 2 | Machining Parameter Optimization, Metrology and Inspection, Non-Destructive Testing, CAD/CAM Software Applications, Robotic System Simulation, Process Capability Analysis |
| ME5107 | Seminar – I | Project/Seminar | 2 | Literature Review Presentation, Research Topic Selection, Technical Report Writing, Presentation Skills, Question and Answer Session, Scientific Communication |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME5201 | Design of Experiments | Core | 4 | Basic Statistical Concepts, Factorial Designs, Taguchi Methods, Response Surface Methodology, Analysis of Variance (ANOVA), Process Optimization |
| ME5202 | Modeling and Simulation of Manufacturing Systems | Core | 4 | System Modeling Techniques, Discrete Event Simulation, Continuous Simulation, Simulation Software Applications, Input/Output Data Analysis, Model Verification and Validation |
| ME5203 | Tool Design | Core | 4 | Press Tool Design, Forging Die Design, Foundry Tool Design, Jig and Fixture Design, Cutting Tool Design, Rapid Tooling Concepts |
| ME5204 | Industrial Robotics and Automation | Elective | 4 | Robot Kinematics and Dynamics, Robot Control Systems, Robot Programming Languages, Robot Vision Systems, End Effectors and Grippers, Industrial Robot Applications |
| ME5205 | Mechatronics | Elective | 4 | Sensors and Actuators, Microcontrollers and PLCs, Data Acquisition Systems, System Interfacing, Control System Design, Mechatronic System Integration |
| ME5206 | Manufacturing Engineering and Automation Lab – II | Lab | 2 | Advanced CAD/CAM Integration, CIM System Implementation, FMS Operation and Control, Robotic Assembly and Welding, Advanced CNC Programming, Virtual Manufacturing Environments |
| ME5207 | Seminar – II | Project/Seminar | 2 | Advanced Literature Review, Detailed Research Proposal, Methodology Presentation, Data Analysis Planning, Project Milestones, Ethical Considerations in Research |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME6101 | Project Planning and Management | Core | 4 | Project Life Cycle Management, Feasibility Studies, Project Scheduling (PERT/CPM), Resource Allocation and Leveling, Risk Management and Analysis, Project Monitoring and Control |
| ME6102 | Additive Manufacturing | Elective | 4 | Rapid Prototyping Principles, Fused Deposition Modeling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), 3D Printing Materials, Post-Processing Techniques |
| ME6103 | Constitution of India | Audit | 0 | Preamble and Basic Structure, Fundamental Rights and Duties, Directive Principles of State Policy, Union Legislature and Executive, Indian Judiciary System, Emergency Provisions |
| ME6104 | Dissertation Phase – I | Project | 8 | Problem Identification and Scope, Comprehensive Literature Review, Hypothesis Formulation, Methodology Development, Preliminary Experimentation/Simulation, Interim Report Submission |
| ME6105 | Research Internship | Internship | 4 | Industry Problem Exposure, Practical Skill Development, Professional Networking, Project Implementation, Data Collection in Industrial Setup, Internship Report Writing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ME6201 | Automation in Manufacturing | Elective | 4 | Automation Principles and Strategies, Control System Components, PLC Programming and Applications, Sensor and Actuator Technology, Industrial Automation Architectures, Case Studies in Manufacturing Automation |
| ME6202 | Value Education | Audit | 0 | Human Values and Ethics, Professional Responsibility, Social Responsibility, Environmental Ethics, Spirituality and Self-Exploration, Ethical Decision Making |
| ME6203 | Dissertation Phase – II | Project | 12 | Data Analysis and Interpretation, Results and Discussion, Thesis Writing and Formatting, Research Paper Publication, Final Defense Preparation, Viva-Voce Examination |




