

M-TECH in Manufacturing Technology And Automation at GITAM, Gandhi Institute of Technology and Management


Visakhapatnam, Andhra Pradesh
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About the Specialization
What is Manufacturing Technology and Automation at GITAM, Gandhi Institute of Technology and Management Visakhapatnam?
This Manufacturing Technology program at Gandhi Institute of Technology and Management focuses on advanced manufacturing processes, automation, and intelligent systems critical for modern industrial production. It equips students with expertise in areas like additive manufacturing, robotics, and integrated production systems, addressing the evolving demands of India''''s manufacturing sector for highly skilled professionals.
Who Should Apply?
This program is ideal for mechanical, production, and industrial engineering graduates seeking to specialize in advanced manufacturing. It also suits working professionals aiming to upgrade their skills in automation, digital manufacturing, and smart factory concepts, enabling them to lead technological advancements in Indian industries and contribute to ''''Make in India'''' initiatives.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding careers as manufacturing engineers, automation specialists, R&D engineers, or production managers in India. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience. The program aligns with certifications in advanced CAD/CAM, lean manufacturing, and robotics, fostering career growth in diverse Indian manufacturing companies.

Student Success Practices
Foundation Stage
Master Core Manufacturing Concepts- (Semester 1-2)
Actively engage with lectures and lab sessions for Advanced Materials, Manufacturing Processes, and Mechatronics. Form study groups to discuss complex topics and practice problem-solving. Utilize simulation software introduced in labs to reinforce theoretical knowledge early on.
Tools & Resources
Textbooks on Advanced Manufacturing, NPTEL lectures on related topics, Lab manuals and simulation software
Career Connection
A strong foundation in these core areas is crucial for understanding later specialized subjects and performing well in technical interviews for R&D and production roles.
Develop Foundational Research Skills- (Semester 1-2)
Pay close attention to Research Methodology and IPR. Begin identifying potential areas of interest for your thesis project early. Practice literature review techniques using academic databases and develop strong technical writing skills through seminar reports and assignments.
Tools & Resources
Scopus, Web of Science, Google Scholar, Mendeley/Zotero for reference management, University library resources
Career Connection
These skills are vital for academic success, future research roles, and for critical analysis required in industrial problem-solving.
Gain Hands-on Lab Proficiency- (Semester 1-2)
Maximize learning from Manufacturing Technology Lab I and II. Focus on understanding the operation of advanced machinery, automation components, and software. Document experiments thoroughly and explore additional practical examples beyond the curriculum.
Tools & Resources
Lab equipment and machinery, CAD/CAM software suites, PLC programming environments
Career Connection
Practical skills gained here are directly applicable to engineering roles, making candidates job-ready for roles requiring operation and troubleshooting of manufacturing systems.
Intermediate Stage
Specialize in Advanced Technologies- (Semester 2-3)
Dive deep into specialized electives like Additive Manufacturing, CIM, Industrial Automation, and Robotics. Consider pursuing online certifications or workshops in these areas to gain a competitive edge. Work on mini-projects that apply these technologies.
Tools & Resources
Coursera, edX for specialized courses, Industry-recognized certifications in AM or Robotics, Open-source robotics simulation tools
Career Connection
Specialized knowledge directly prepares you for roles in high-demand fields like additive manufacturing design, robot programming, and smart factory implementation.
Engage with Industry through Internships- (Semester 2-3 (during semester breaks))
Actively seek and complete internships in manufacturing companies, focusing on areas like production, automation, or quality control. Apply theoretical knowledge to real-world industrial challenges and network with professionals in the field.
Tools & Resources
University placement cell, LinkedIn, Industry job portals
Career Connection
Internships provide invaluable practical experience, enhance your resume, and often lead to pre-placement offers or strong industry connections for future job searches.
Participate in Technical Competitions & Projects- (Semester 2-3)
Join student chapters of professional bodies (e.g., SAE, ASME) and participate in design, automation, or manufacturing competitions. Initiate personal projects to build prototypes or automate processes, showcasing your engineering aptitude.
Tools & Resources
Institutional engineering clubs, Robotics kits, Local hackathons/competitions
Career Connection
Such participation demonstrates problem-solving skills, teamwork, and initiative, making you a more attractive candidate to employers seeking practical talent.
Advanced Stage
Excel in Project Work & Thesis Development- (Semester 3-4)
Dedicate significant effort to your M.Tech project (Part I & II). Choose a research topic aligned with current industry needs or emerging technologies. Aim for high-quality research leading to potential publications or patentable ideas.
Tools & Resources
Guidance from faculty mentors, Advanced simulation software (ANSYS, ABAQUS), Access to research labs
Career Connection
A strong thesis project demonstrates your ability to conduct independent research, innovate, and contribute to knowledge, highly valued for R&D roles and doctoral studies.
Strategize for Placements & Career Growth- (Semester 3-4)
Begin placement preparation early by refining your resume, practicing interview skills (technical and HR), and preparing a strong portfolio of projects. Utilize career services for mock interviews and resume reviews. Network with alumni for insights and opportunities.
Tools & Resources
Career Services cell, Online interview platforms, Networking events
Career Connection
Proactive placement preparation significantly increases your chances of securing desirable positions in core manufacturing, automation, or consulting firms.
Cultivate Professional Network & Continuous Learning- (Throughout the program and beyond)
Attend industry conferences, workshops, and seminars. Connect with industry leaders and fellow professionals. Stay updated with the latest advancements in manufacturing technology and automation through journals and online resources, fostering lifelong learning.
Tools & Resources
Industry conferences (e.g., IMTEX, Auto Expo), Professional body memberships (IEI, ISME), Technical journals
Career Connection
A robust professional network and commitment to continuous learning are essential for long-term career growth, leadership roles, and staying relevant in a rapidly evolving industry.
Program Structure and Curriculum
Eligibility:
- Candidates must have obtained a minimum of 50% aggregate marks in the qualifying examination (B.E./B.Tech. or equivalent in relevant branch of engineering / AMIE/AMIETE / MCA / M.Sc. in relevant subjects / Post Graduation in relevant discipline) from a recognized university, with a valid GATE score or rank in GAT (PGT) / equivalent entrance examination conducted by a recognized university.
Duration: 4 semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20EMA701 | Research Methodology and IPR | Core | 3 | Research Problem & Formulation, Literature Review Techniques, Research Design & Data Collection, Statistical Analysis & Interpretation, Intellectual Property Rights (IPR), Patents, Copyrights, Trademarks |
| 20EME711 | Advanced Materials and Manufacturing Processes | Core | 3 | Advanced Metallic Alloys, Ceramics and Composites, Rapid Prototyping Techniques, Additive Manufacturing Principles, Non-conventional Machining Processes, Surface Engineering & Coatings |
| 20EME724 | Computer Integrated Manufacturing | Elective | 3 | CIM Systems Architecture, CAD/CAM Data Exchange, CNC Machine Tools & Programming, Flexible Manufacturing Systems (FMS), Robotics in Manufacturing, Manufacturing Resource Planning (MRP II) |
| 20EME726 | Additive Manufacturing | Elective | 3 | Additive Manufacturing Fundamentals, Powder Bed Fusion Processes, Material Extrusion & Binder Jetting, Stereolithography & DLP, Design for Additive Manufacturing, Applications & Future Trends |
| 20EMA791 | Manufacturing Technology Lab – I | Lab | 2 | Advanced Machining Operations, Metrology & Measurement Techniques, CAD/CAM Software Proficiency, Material Testing & Characterization, Non-Destructive Testing (NDT), Simulation of Manufacturing Processes |
| 20EMA793 | Research Seminar – I | Project | 2 | Literature Review, Research Problem Identification, Technical Presentation Skills, Scientific Report Writing, Reference Management, Peer Review Process |
| 20EOE701 | Green Engineering | Open Elective | 3 | Principles of Sustainable Design, Life Cycle Assessment (LCA), Eco-friendly Materials, Waste Minimization & Recycling, Renewable Energy Systems, Environmental Regulations & Policies |
| 20EAC741 | English for Research Paper Writing | Audit | 0 | Structure of a Research Paper, Effective Scientific Writing, Grammar and Punctuation for Academia, Avoiding Plagiarism, Citation Styles, Reviewing and Revising |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20EME712 | Advanced Mechatronics | Core | 3 | Sensors and Transducers, Actuators and Drives, Microcontrollers and PLC, Data Acquisition Systems, Mechatronic System Design, Embedded Systems in Automation |
| 20EME713 | Industrial Automation and Robotics | Core | 3 | Principles of Industrial Automation, Control Systems for Automation, Robotic Kinematics & Dynamics, Robot Programming Languages, End Effectors and Grippers, Robot Applications in Manufacturing |
| 20EME721 | Finite Element Methods | Elective | 3 | Introduction to FEM, Discretization and Meshing, Shape Functions and Element Formulation, Solution of 1D Problems, Structural and Thermal Analysis using FEM, Commercial FEM Software |
| 20EME732 | Quality Engineering and Management | Elective | 3 | Total Quality Management (TQM), Statistical Process Control (SPC), Six Sigma Methodology, Lean Manufacturing Principles, Quality Function Deployment (QFD), ISO Standards & Audits |
| 20EMA792 | Manufacturing Technology Lab – II | Lab | 2 | Robotics Programming & Simulation, PLC Interfacing & Control, CIM System Integration Experiments, Automation System Design & Testing, Process Monitoring & Control, Virtual Manufacturing Environments |
| 20EMA794 | Research Seminar – II | Project | 2 | Refinement of Research Methodology, Data Analysis Techniques, Preliminary Results Presentation, Thesis Proposal Preparation, Ethical Considerations in Research, Feedback Integration |
| 20EOE704 | Business Analytics | Open Elective | 3 | Introduction to Business Analytics, Data Mining Techniques, Predictive Modeling, Data Visualization, Decision Making with Analytics, Big Data Concepts |
| 20EAC742 | Stress Management by Yoga | Audit | 0 | Fundamentals of Yoga, Asanas for Stress Relief, Pranayama (Breathing Techniques), Meditation Practices, Mindfulness for Well-being, Dietary and Lifestyle Changes |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20EMA891 | Project Work – Part I | Project | 14 | Problem Formulation & Scope Definition, Extensive Literature Survey, Methodology Development, Experimental Setup/Simulation Design, Data Collection & Preliminary Analysis, Interim Report & Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 20EMA892 | Project Work – Part II | Project | 18 | Advanced Experimentation/Development, Comprehensive Data Analysis, Discussion of Results & Findings, Conclusion & Future Work, Thesis Writing & Formatting, Final Viva-Voce Examination |




