.png&w=1920&q=75)
M-TECH in Industrial Automation And Robotics at Maulana Azad National Institute of Technology Bhopal
Bhopal, Madhya Pradesh
.png&w=1920&q=75)
About the Specialization
What is Industrial Automation and Robotics at Maulana Azad National Institute of Technology Bhopal Bhopal?
This Industrial Automation and Robotics program at Maulana Azad National Institute of Technology Bhopal focuses on developing expertise in advanced manufacturing technologies, intelligent control systems, and robotic applications. It addresses the growing need for automation in Indian industries, emphasizing smart factories and Industry 4.0 paradigms. The curriculum blends theoretical knowledge with practical skills, preparing students for real-world industrial challenges and technological advancements.
Who Should Apply?
This program is ideal for engineering graduates with a background in Mechanical, Electrical, Electronics, or Mechatronics seeking to specialize in automation and robotics. It caters to fresh graduates aspiring for roles in R&D and manufacturing, as well as working professionals looking to upskill in areas like AI, IoT, and advanced control. Individuals passionate about innovative solutions for industrial challenges will find this program rewarding.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India''''s rapidly expanding manufacturing, automotive, and IT sectors, working as automation engineers, robotics specialists, or control systems designers. Entry-level salaries range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with certifications in PLC, SCADA, and robotics, enhancing growth trajectories in Indian companies pushing for automation.
Student Success Practices
Foundation Stage
Build Strong Mathematical and Control Foundations- (Semester 1-2)
Dedicate significant time to mastering advanced engineering mathematics, linear algebra, and fundamental control system concepts. These are crucial for understanding robotics kinematics and automation principles. Utilize online platforms like NPTEL courses, Khan Academy, and participate in peer study groups to clarify complex topics and solve problems collaboratively.
Tools & Resources
NPTEL courses on Control Systems and Advanced Mathematics, MATLAB/Simulink tutorials, Peer study groups
Career Connection
A solid theoretical base is essential for designing robust automation and robotic systems, directly impacting roles in R&D, algorithm development, and system analysis.
Gain Hands-on Experience with PLCs and Robotics Software- (Semester 1-2)
Actively participate in all laboratory sessions for Industrial Automation and Robotics. Seek opportunities to work on additional projects using PLC programming software (e.g., Siemens TIA Portal, Rockwell Studio 5000) and robot simulation tools (e.g., RoboDK, Gazebo). Familiarize yourself with industrial-grade hardware through departmental labs or local workshops.
Tools & Resources
PLC programming software (Siemens, Rockwell), Robot simulation software (RoboDK, CoppeliaSim), Departmental lab equipment
Career Connection
Practical skills in PLC programming and robot operation are highly valued in manufacturing and process industries for deployment, maintenance, and system integration roles.
Engage in Early Research and Literature Review- (Semester 1-2)
Start exploring research papers and review articles in your areas of interest within industrial automation and robotics from the first semester. Attend departmental seminars and workshops to identify potential research problems. This habit will greatly aid in your seminar and dissertation work in later semesters.
Tools & Resources
IEEE Xplore, Elsevier Scopus, Google Scholar, MANIT Library resources
Career Connection
Early exposure to research helps in identifying specialized career paths, strengthens analytical thinking, and provides a head start for academic or R&D roles.
Intermediate Stage
Specialize through Elective Choices and Advanced Projects- (Semester 2-3)
Strategically choose electives that align with your career aspirations, whether it is AI/ML for industrial applications, advanced robotics, or IoT. Simultaneously, undertake mini-projects or term papers in these specialized areas. Collaborate with faculty on their ongoing research, seeking opportunities for publications or prototypes.
Tools & Resources
OpenCV for image processing, TensorFlow/PyTorch for ML, Arduino/Raspberry Pi for IoT projects, Collaboration with faculty on research projects
Career Connection
Specialized knowledge and practical projects differentiate you in the job market, opening doors to niche roles in advanced R&D, product development, and specialized automation firms.
Seek Internships in Core Industrial Sectors- (Semester 2-3 summer breaks)
Actively pursue internships during semester breaks with Indian manufacturing, automotive, or automation companies (e.g., Tata Steel, Mahindra, L&T Automation, ABB India). Focus on roles involving plant automation, robotics integration, or mechatronics system design. Network with professionals and leverage institutional connections for opportunities.
Tools & Resources
Internshala, LinkedIn, MANIT Placement Cell, Industry contacts from faculty
Career Connection
Internships provide invaluable industry exposure, practical experience, and often lead to pre-placement offers (PPOs), significantly boosting placement prospects and understanding of industry demands.
Participate in National-Level Technical Competitions- (Semester 2-3)
Form teams and participate in robotics competitions (e.g., Robocon, IIT-Bombay Techfest Robotics), automation challenges, or hackathons focused on industrial problems. This hones problem-solving, teamwork, and practical application skills under pressure. Showcase your projects and achievements on your professional portfolio.
Tools & Resources
Robocon, eYRC (e-Yantra Robotics Competition), Smart India Hackathon
Career Connection
Winning or even participating in such competitions demonstrates practical acumen, innovation, and leadership, attracting top recruiters and enhancing your resume for technical roles.
Advanced Stage
Focus on a High-Impact Dissertation Project- (Semester 3-4)
Choose a dissertation topic with significant industrial relevance or research potential. Aim for novel contributions, whether it is developing a new control algorithm, optimizing an industrial process, or designing an innovative robotic application. Strive for publication in reputed journals or conference proceedings.
Tools & Resources
Advanced simulation software (ANSYS, ABAQUS), Experimental lab facilities, Thesis writing guides, Research mentors
Career Connection
A strong dissertation forms the cornerstone of your M.Tech, showcasing your research capabilities, problem-solving skills, and deep subject expertise, critical for R&D roles, academia, or advanced engineering positions.
Refine Presentation and Communication Skills- (Semester 3-4)
Regularly practice presenting your research work, project findings, and technical concepts. Participate in departmental seminars, workshops, and mock interviews. Clear and effective communication is vital for presenting ideas to stakeholders, clients, and team members in professional settings.
Tools & Resources
Toastmasters International (if available), Departmental presentation sessions, Mock interview panels
Career Connection
Excellent communication skills are essential for leadership roles, client interactions, project management, and successful interviews, making you a more effective and desirable employee.
Prepare Rigorously for Placements and Professional Networking- (Semester 3-4)
Actively engage with the placement cell, attend campus recruitment drives, and prepare for technical and HR interviews. Build a strong professional network through LinkedIn, alumni connections, and industry events. Tailor your resume and portfolio to highlight specialized skills acquired throughout the program.
Tools & Resources
MANIT Placement Cell, LinkedIn, Resume builders, Interview preparation platforms (e.g., PrepInsta)
Career Connection
Targeted preparation and strategic networking are key to securing coveted positions in top automation, robotics, and manufacturing companies in India and globally, ensuring a smooth transition into your career.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Mechanical, Production, Industrial, Mechatronics, Automobile, Electrical, Electronics, Instrumentation, Chemical, Aerospace, Manufacturing Engineering or equivalent with minimum 60% aggregate marks/6.5 CGPA (or AMIE/Grad.I.E. with 60%), and valid GATE score preferred.
Duration: 2 years (4 semesters)
Credits: 72 Credits
Assessment: Internal: Typically 40% for theory subjects (Sessional) and 60% for practicals/seminar/project (Sessional), External: Typically 60% for theory subjects (End Semester Exam) and 40% for practicals/project (End Semester Exam)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAIR-101 | Advanced Engineering Mathematics | Core | 4 | Linear Algebra, Vector Calculus, Special Functions, Numerical Methods, Transform Techniques |
| MAIR-102 | Industrial Automation | Core | 4 | Automation principles, Process control, PLCs & SCADA, DCS, Industrial communication |
| MAIR-103 | Robotics Engineering | Core | 4 | Robot Kinematics, Dynamics & Control, Trajectory Planning, Sensors & Vision, Actuators & Grippers |
| MAIR-104 | Modelling and Simulation | Core | 4 | System Modeling, Simulation types, Random number generation, Input-Output analysis, Model validation |
| MAIR-105 | Robotics & Automation Lab | Lab | 2 | PLC programming, Robot path planning, Sensor interfacing, HMI development, Industrial control software |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAIR-201 | Advanced Manufacturing Processes | Core | 4 | Non-conventional machining, Rapid prototyping, Additive manufacturing, Micro-machining, Advanced welding |
| MAIR-202 | Mechatronics System Design | Core | 4 | Mechatronics systems, Sensors & transducers, Actuators, Microprocessors & Microcontrollers, System integration |
| MAIR-203 | Computer Integrated Manufacturing | Elective | 4 | CAD/CAM, CAPP, FMS, Group Technology, CIM architecture |
| MAIR-204 | Production Planning and Control | Elective | 4 | Forecasting, Aggregate planning, Inventory control, Scheduling, MRP & ERP |
| MAIR-205 | Artificial Intelligence and Machine Learning | Elective | 4 | AI foundations, Search algorithms, Machine Learning basics, Supervised learning, Unsupervised learning |
| MAIR-206 | Operations Research | Elective | 4 | Linear programming, Queuing theory, Inventory models, Network analysis, Decision theory |
| MAIR-207 | Intelligent Control | Elective | 4 | Fuzzy logic control, Neural network control, Genetic algorithms, Expert systems, Adaptive control |
| MAIR-208 | Digital Image Processing | Elective | 4 | Image fundamentals, Enhancement, Restoration, Segmentation, Feature extraction |
| MAIR-209 | Industrial Instrumentation | Elective | 4 | Transducers, Signal conditioning, Measurement techniques, Data acquisition, Calibration |
| MAIR-210 | Finite Element Method | Elective | 4 | Basic concepts, Variational methods, Element formulations, Assembly process, Applications |
| MAIR-211 | Advanced Manufacturing & Mechatronics Lab | Lab | 2 | CNC programming, Robot dynamics, Vision system integration, Data acquisition, Virtual instrumentation |
| MAIR-212 | Seminar | Seminar | 2 | Literature survey, Technical writing, Presentation skills, Research ethics, Current industrial trends |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAIR-301 | Dissertation/Project Work (Part-I) | Project | 8 | Problem identification, Literature review, Research design, Experimental setup, Initial data analysis |
| MAIR-302 | Reliability and Maintenance Engineering | Elective | 4 | Reliability basics, Life data analysis, Maintenance types, FMEA, Total Productive Maintenance |
| MAIR-303 | Smart Sensors and IoT | Elective | 4 | Sensor technologies, Smart sensors, IoT architecture, Communication protocols, Cloud platforms |
| MAIR-304 | Advanced Robotics | Elective | 4 | Mobile robotics, Human-robot collaboration, Medical robotics, Service robotics, Dexterous manipulation |
| MAIR-305 | Supply Chain Management | Elective | 4 | SCM principles, Logistics, Inventory management, Sourcing, Performance measurement |
| MAIR-306 | Human Robot Interaction | Elective | 4 | HRI foundations, Interaction modalities, User interfaces, Safety in HRI, Ethics in HRI |
| MAIR-307 | Industrial Data Analytics | Elective | 4 | Data acquisition, Data preprocessing, Statistical analysis, Machine learning for industry, Predictive maintenance |
| MAIR-308 | Micro Electro Mechanical Systems (MEMS) | Elective | 4 | MEMS fabrication, Micro-sensors, Micro-actuators, Packaging, Applications |
| MAIR-309 | Lean Manufacturing | Elective | 4 | Lean principles, Value stream mapping, Just-in-Time, Kaizen, Six Sigma |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAIR-401 | Dissertation/Project Work (Part-II) | Project | 16 | Advanced experimentation, Data interpretation, Thesis writing, Presentation, Publication potential |
