M-TECH in Manufacturing Engineering at Manipal Institute of Technology
Udupi, Karnataka
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About the Specialization
What is Manufacturing Engineering at Manipal Institute of Technology Udupi?
This M.Tech Manufacturing Engineering program at Manipal Institute of Technology focuses on advanced manufacturing technologies, process automation, and smart systems integration. It addresses the growing need for skilled professionals in India''''s evolving industrial landscape, emphasizing sustainable and efficient production methodologies to drive economic growth and innovation across various sectors.
Who Should Apply?
This program is ideal for mechanical, production, industrial, or mechatronics engineering graduates seeking to specialize in modern manufacturing. It also suits working professionals aiming to upgrade their skills in areas like additive manufacturing, industrial automation, or smart factory concepts, and those transitioning into advanced engineering roles in the Indian manufacturing sector.
Why Choose This Course?
Graduates of this program can expect to pursue career paths as manufacturing engineers, process consultants, R&D specialists, or quality managers in leading Indian and multinational companies. Entry-level salaries typically range from INR 6-10 LPA, with significant growth potential towards senior leadership roles in the rapidly expanding Indian manufacturing industry.
Student Success Practices
Foundation Stage
Master Core Manufacturing Principles- (Semester 1)
Focus intensely on subjects like Advanced Manufacturing Processes, Metrology, and Mechanics of Materials in Semester 1. Utilize MIT Manipal''''s labs for hands-on experience, complementing theoretical knowledge crucial for building a strong foundation for future specializations and technical interviews.
Tools & Resources
MIT Manipal Advanced Manufacturing Lab, Textbooks, Peer study groups
Career Connection
A strong foundation is critical for excelling in advanced courses, project work, and securing entry-level roles requiring core manufacturing knowledge.
Develop Analytical & Problem-Solving Skills- (Semester 1)
Engage actively in problem sets and lab assignments, especially in areas like Manufacturing Management. Form study groups to discuss complex concepts and develop collaborative problem-solving approaches, a highly valued skill in industrial engineering roles.
Tools & Resources
Case studies, Simulation software (e.g., Arena, FlexSim for management), Discussion forums
Career Connection
Enhances critical thinking, project execution capability, and preparedness for technical challenges in industry.
Explore Research Areas- (Semester 1)
Begin identifying potential research interests by reading recent publications in manufacturing engineering. Engage with faculty members to understand their ongoing research, which can guide your choice of elective subjects and prepare for future project work (Project Work I & II).
Tools & Resources
Research papers (Scopus, Web of Science), Departmental seminars, Faculty consultations
Career Connection
Helps in selecting relevant electives, formulating impactful research topics, and preparing for R&D-focused careers or further academic pursuits.
Intermediate Stage
Apply Design of Experiments & Research Methodology- (Semester 2)
Implement the concepts learned in "Design of Experiments and Research Methodology" to small case studies or simulations. This practical application builds robust analytical skills essential for efficient problem-solving and forms the bedrock for your major project in later semesters.
Tools & Resources
Statistical software (e.g., Minitab, R), Academic journals, Project report templates
Career Connection
Develops a scientific approach to problem-solving, crucial for process optimization, quality control, and R&D roles in manufacturing.
Gain Practical Automation & Elective Skills- (Semester 2)
Maximize learning in "Automation in Manufacturing" and its lab. Deep dive into chosen electives (e.g., Mechatronics, Additive Manufacturing), gaining specialized knowledge. This expertise is highly sought after by industries focusing on smart manufacturing and advanced production techniques.
Tools & Resources
Robot programming platforms, PLC software, Specialized lab equipment, Industry certifications (if available)
Career Connection
Directly enhances employability in high-demand areas like industrial automation, smart factories, and advanced material processing.
Network and Industry Interaction- (Semester 2)
Actively participate in departmental workshops, seminars, and guest lectures by industry professionals. Start building a professional network through LinkedIn, connecting with alumni and experts to understand industry trends and potential internship opportunities in the Indian manufacturing sector.
Tools & Resources
LinkedIn, Industry events and expos, Alumni network portal (if available)
Career Connection
Facilitates internships, mentorship, and opens doors to placement opportunities, providing insights into real-world industry demands.
Advanced Stage
Excel in Project Work (I & II)- (Semesters 3-4)
Dedicate significant effort to your master''''s thesis (Project Work I & II in Semesters 3 and 4), ensuring thorough research, robust methodology, and impactful results. Aim for a high-quality thesis and consider presenting at national conferences or publishing, which significantly boosts your profile for placements and further academic pursuits in India.
Tools & Resources
Research databases, Simulation software, MIT Manipal library resources, Conference submission platforms
Career Connection
Demonstrates independent research capability, problem-solving prowess, and contributes to a strong academic and professional portfolio.
Industry Readiness & Placement Focus- (Semesters 3-4)
Identify target companies and roles in manufacturing and refine specific skills (e.g., CAD/CAM, simulation, lean manufacturing) required by them. Prepare a strong portfolio highlighting project achievements and relevant certifications, crucial for securing roles in competitive Indian manufacturing firms.
Tools & Resources
MIT Manipal Career Services, Resume building workshops, Mock interview sessions, Online skill development platforms
Career Connection
Directly prepares you for the job market, increasing the likelihood of securing desirable placements in leading manufacturing companies.
Develop Professional & Leadership Communication- (Semesters 3-4)
Focus on presenting your project work clearly and concisely, both written and orally. Practice interview skills, including technical and HR rounds, leveraging career services. Strong communication is vital for leadership roles and interacting with diverse teams in the Indian manufacturing sector.
Tools & Resources
Presentation software, Public speaking clubs, Communication workshops, Peer feedback sessions
Career Connection
Essential for effective collaboration, client interaction, and ascending to leadership positions within manufacturing organizations.
Program Structure and Curriculum
Eligibility:
- B.E. / B.Tech. in Mechanical / Manufacturing / Industrial / Production / Mechatronics / Automobile / Aeronautical / Aerospace Engineering with minimum 50% aggregate marks or equivalent CGPA.
Duration: 2 years (4 semesters)
Credits: 80 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEE 501 | Advanced Mechanics of Materials | Core | 4 | Stress-strain relationships, Theories of failure, Thick and thin cylinders, Torsion of non-circular sections, Energy methods, Bending of plates, Composite materials mechanics |
| MEE 502 | Advanced Manufacturing Processes | Core | 4 | Non-traditional machining processes, Abrasive jet and ultrasonic machining, Laser and electron beam machining, Electro-chemical and electro-discharge machining, Water jet cutting, Additive manufacturing principles |
| MEE 503 | Advanced Metrology and Computer Aided Inspection | Core | 4 | Principles of linear and angular measurement, Surface finish measurement, Co-ordinate Measuring Machines (CMM), Machine vision systems, Statistical process control, Laser interferometry |
| MEE 504 | Manufacturing Management | Core | 4 | Production planning and control, Forecasting techniques, Inventory control models, Lean manufacturing principles, Just-In-Time (JIT) systems, Total Quality Management (TQM) |
| MEE 505 | Advanced Manufacturing Processes Lab | Lab | 2 | Experiments on non-traditional machining processes, CNC part programming and machining, Material characterization techniques, Additive manufacturing demonstrations, Process parameter optimization, Surface integrity analysis |
| MEE 506 | Advanced Metrology and Computer Aided Inspection Lab | Lab | 2 | Precision measurement using gauges and comparators, CMM operation and programming, Surface roughness measurement, Machine vision inspection applications, Geometric dimensioning and tolerancing, Statistical process control charting |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEE 551 | Design of Experiments and Research Methodology | Core | 4 | Research problem formulation, Literature review, Hypothesis testing, Analysis of Variance (ANOVA), Factorial experimental designs, Regression analysis, Technical report writing |
| MEE 552 | Automation in Manufacturing | Core | 4 | Automation strategies and types, Robotic systems and kinematics, Flexible Manufacturing Systems (FMS), Computer Aided Design/Manufacturing (CAD/CAM), Programmable Logic Controllers (PLC), Sensor and actuator integration |
| MEE 553 | Elective I | Elective | 4 | Student chooses one from a list of electives. |
| MEE 561 | Mechatronics Systems | Elective | 4 | Transducers and sensors, Actuators and mechanisms, Microprocessors and microcontrollers, Programmable Logic Controllers (PLC), Data acquisition systems, Fuzzy logic and neural networks |
| MEE 562 | Product Design and Development | Elective | 4 | Product development process, Design thinking and innovation, Concept generation and selection, Prototyping and testing, Design for X (manufacturing, assembly, environment), Intellectual property and market analysis |
| MEE 563 | Industrial Tribology | Elective | 4 | Friction and wear mechanisms, Lubrication regimes, Lubricants and their properties, Hydrodynamic and hydrostatic bearings, Rolling element bearings, Surface engineering and coatings |
| MEE 564 | Advanced Joining Technologies | Elective | 4 | Solid state welding processes, Friction stir welding, Laser welding and electron beam welding, Brazing and soldering, Adhesive bonding, Weldability of advanced materials |
| MEE 565 | Composites & Smart Materials | Elective | 4 | Polymer matrix composites, Metal matrix composites, Ceramic matrix composites, Manufacturing processes for composites, Mechanics of composite materials, Smart materials and their applications |
| MEE 566 | Non-Destructive Testing | Elective | 4 | Visual inspection techniques, Liquid penetrant testing, Magnetic particle testing, Eddy current testing, Ultrasonic testing principles, Radiographic testing methods |
| MEE 554 | Elective II | Elective | 4 | Student chooses one from a list of electives. |
| MEE 571 | Supply Chain Management | Elective | 4 | Supply chain network design, Demand forecasting and planning, Inventory management in supply chains, Logistics and transportation, Supply chain risk management, Sustainable supply chain practices |
| MEE 572 | Reverse Engineering and Rapid Prototyping | Elective | 4 | Reverse engineering methodologies, 3D scanning and data acquisition, CAD model reconstruction, Rapid prototyping technologies (FDM, SLA, SLS), Material selection for rapid prototyping, Applications of reverse engineering |
| MEE 573 | Quality and Reliability Engineering | Elective | 4 | Quality control concepts, Statistical Process Control (SPC), Acceptance sampling, Reliability assessment, Failure analysis techniques (FMEA), Design for reliability |
| MEE 574 | Energy Management | Elective | 4 | Energy conservation principles, Energy audit methodologies, Energy efficient systems, Renewable energy integration, Waste heat recovery, Energy policy and economics |
| MEE 575 | Sustainable Manufacturing | Elective | 4 | Green manufacturing principles, Life Cycle Assessment (LCA), Waste minimization and cleaner production, Environmental regulations and standards, Industrial symbiosis, Eco-design concepts |
| MEE 576 | Robotics and Applications | Elective | 4 | Robot kinematics and dynamics, Robot control systems, Sensors and end effectors, Robot programming languages, Industrial robot applications, Mobile robotics and navigation |
| MEE 555 | Automation in Manufacturing Lab | Lab | 2 | Robot programming and simulation, PLC programming for industrial control, Pneumatic and hydraulic circuits, Sensor integration and interfacing, Flexible Manufacturing System (FMS) operation, CNC machine interfacing |
| MEE 556 | Design of Experiments Lab | Lab | 2 | Statistical software usage (e.g., MINITAB, R), Analysis of Variance (ANOVA) applications, Factorial experiment design and analysis, Regression analysis techniques, Optimization using DOE methods, Data interpretation and presentation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEE 601 | Project Work - I | Project | 10 | Problem identification and definition, Extensive literature review, Methodology development, Experimental design and setup, Preliminary data collection and analysis, Interim report writing and presentation |
| MEE 602 | Elective III | Elective | 4 | Student chooses one from a list of electives. |
| MEE 611 | Micro and Nano Manufacturing | Elective | 4 | Micro-fabrication techniques, Lithography and etching processes, Thin film deposition, Micro-machining methods, Nano-materials and their synthesis, Nano-assembly and characterization |
| MEE 612 | Additive Manufacturing | Elective | 4 | Principles of Additive Manufacturing (AM), Stereolithography (SLA) and FDM, Selective Laser Sintering (SLS), Material Jetting and Binder Jetting, Direct Metal Laser Sintering (DMLS), Post-processing and applications of AM |
| MEE 613 | Smart Manufacturing | Elective | 4 | Industry 4.0 concepts, Cyber-physical systems, Internet of Things (IoT) in manufacturing, Big data analytics for production, Artificial Intelligence (AI) in manufacturing, Cloud manufacturing and digital twin |
| MEE 614 | Bio-Manufacturing | Elective | 4 | Biocompatible materials, Tissue engineering principles, 3D bioprinting technologies, Medical implant manufacturing, Sterilization methods, Regulatory aspects of bio-manufacturing |
| MEE 615 | MEMS | Elective | 4 | MEMS design and fabrication, Micro-sensors and micro-actuators, Microfluidics and micro-pumps, Surface and bulk micromachining, MEMS packaging, Applications in automotive and biomedical |
| MEE 616 | Computer Aided Tooling | Elective | 4 | CAD for tooling design, Mold design and analysis, Die design for forming processes, Fixture design for manufacturing, Rapid tooling concepts, CAM for tool fabrication |
| MEE 603 | Technical Seminar | Core | 2 | Literature survey on current topics, Topic selection and scope definition, Data collection and synthesis, Effective presentation skills, Technical report writing, Question and answer session handling |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MEE 651 | Project Work - II | Project | 18 | In-depth experimental or simulation work, Data analysis and interpretation, Thesis writing and documentation, Validation and verification of results, Final presentation and viva voce, Potential for research publication |