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M-TECH in Automation And Robotics at Maulana Azad National Institute of Technology, Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is Automation and Robotics at Maulana Azad National Institute of Technology, Bhopal Bhopal?
This Automation and Robotics program at Maulana Azad National Institute of Technology Bhopal focuses on advanced concepts in robotic systems, industrial automation, smart manufacturing, and artificial intelligence. It emphasizes interdisciplinary skills crucial for designing, implementing, and managing automated systems. The curriculum addresses the growing demand for automation experts in India''''s manufacturing and service sectors, providing a competitive edge for future engineers.
Who Should Apply?
This program is ideal for fresh engineering graduates seeking entry into the high-tech manufacturing, automotive, and IT sectors focusing on automation. It also caters to working professionals in core industries looking to upskill in robotics, AI, and smart factory technologies. Graduates from Mechanical, Electrical, Electronics, and Computer Science backgrounds with an interest in advanced control systems and intelligent machines are highly suitable for this specialization.
Why Choose This Course?
Graduates of this program can expect promising India-specific career paths in roles like Robotics Engineer, Automation Consultant, Process Control Engineer, R&D Specialist, or System Integrator. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The program aligns with industry needs, fostering skills for professional certifications in PLC, SCADA, and industrial robotics, crucial for growth in Indian companies.
Student Success Practices
Foundation Stage
Build Strong Fundamentals in Robotics & Control- (Semester 1-2)
Focus on thoroughly understanding core concepts of robot kinematics, dynamics, and advanced control systems introduced in core courses. Utilize textbooks, NPTEL lectures, and online resources like Coursera for in-depth learning. Actively participate in laboratory sessions for hands-on experience with simulation software and basic robot programming.
Tools & Resources
NPTEL courses on Robotics, MATLAB/Simulink, Robotics Toolboxes, Coursera/edX
Career Connection
A strong theoretical and practical foundation is essential for tackling complex industrial automation challenges and securing entry-level roles in R&D or system integration.
Master Programming for Automation- (Semester 1-2)
Develop proficiency in programming languages crucial for automation, such as Python for AI/ML, C++ for real-time systems, and ladder logic for PLCs. Engage in competitive programming challenges related to control algorithms or participate in departmental coding clubs. Start small projects simulating industrial processes.
Tools & Resources
Python, C++ IDEs, Online coding platforms (HackerRank), PLC simulation software, Arduino/Raspberry Pi kits
Career Connection
Programming skills are highly sought after by companies developing automation solutions, robotics software, and smart manufacturing systems in India.
Engage in Interdisciplinary Project-Based Learning- (Semester 1-2)
Collaborate with peers from diverse engineering backgrounds (e.g., Electrical, Electronics) on mini-projects that integrate concepts from multiple courses. Focus on designing and building small-scale automated systems or robotic prototypes. This fosters teamwork and practical problem-solving.
Tools & Resources
Project labs, Departmental workshops, Open-source hardware/software communities
Career Connection
Interdisciplinary projects showcase holistic problem-solving abilities, which are highly valued by industries seeking versatile automation engineers.
Intermediate Stage
Pursue Internships in Automation Industries- (Semester 2-3 (during breaks))
Actively seek summer or winter internships with manufacturing companies, automation solution providers, or research institutions in India. Focus on gaining exposure to industrial PLCs, SCADA systems, robotic cells, or vision inspection systems. Leverage MANIT''''s placement cell and alumni network.
Tools & Resources
Internshala, LinkedIn, MANIT placement portal, Industry contacts
Career Connection
Internships provide crucial real-world experience, help in building professional networks, and often lead to pre-placement offers in top Indian and MNC companies.
Specialize through Electives and Certifications- (Semester 2-3)
Strategically choose electives that align with your career interests (e.g., AI/ML, Mechatronics, or Advanced Sensors). Complement academic learning with professional certifications in PLC programming (Siemens, Rockwell), industrial robotics (FANUC, KUKA), or machine vision, highly valued in the Indian market.
Tools & Resources
Vendor-specific certification programs, Online learning platforms (Udemy, Coursera specialized tracks), Industry workshops
Career Connection
Specialized skills and certifications significantly enhance employability and demonstrate expertise for targeted roles in automation and robotics within India.
Participate in National Robotics Competitions- (Semester 2-3)
Join or form teams to participate in national-level robotics competitions (e.g., ROBOCON, Techfest robotics events, industrial automation challenges). These platforms provide hands-on experience, foster innovation, and offer networking opportunities with industry professionals and peers.
Tools & Resources
Robotics kits (e.g., VEX, LEGO Mindstorms for prototyping), Competition guidelines and forums, Departmental funding
Career Connection
Such participation builds practical skills, demonstrates problem-solving under pressure, and is a strong resume builder for high-tech roles in India''''s automation sector.
Advanced Stage
Undertake Research-Oriented Project Work- (Semester 3-4)
Dedicate significant effort to your M.Tech Project Work (Project Work – I & II). Aim for an innovative solution to an industry problem or a significant contribution to an ongoing research area. Collaborate with faculty members and explore publication opportunities in national/international conferences.
Tools & Resources
Research labs, Simulation software (ROS, Gazebo), Academic databases (Scopus, Web of Science)
Career Connection
A strong, research-backed project is crucial for placements in R&D roles, academic positions, or pursuing further studies (PhD) in India or abroad.
Network with Industry Professionals and Alumni- (Semester 3-4)
Actively attend industry seminars, workshops, and career fairs organized by the institute. Connect with MANIT alumni working in automation and robotics through LinkedIn and alumni events. Seek mentorship and insights into industry trends and career pathways in India.
Tools & Resources
LinkedIn, Alumni Association events, Industry conferences (e.g., Auto Expo, Automation India)
Career Connection
Networking opens doors to hidden job opportunities, provides invaluable career guidance, and helps in building a professional reputation within the Indian automation landscape.
Prepare Rigorously for Placements and Interviews- (Semester 3-4)
Refine your resume and portfolio to highlight specialized skills, projects, and certifications. Practice technical interview questions covering robotics, control systems, AI/ML, and industrial automation. Participate in mock interviews and group discussions organized by the training and placement cell.
Tools & Resources
Placement cell resources, Interview preparation guides, Company-specific previous year questions
Career Connection
Effective placement preparation is key to securing desired roles in leading Indian manufacturing, automotive, IT, and automation companies, ensuring a successful career launch.
Program Structure and Curriculum
Eligibility:
- B.E./B.Tech. in Mechanical, Production, Industrial, Automobile, Aerospace, Mechatronics, Electrical, Electronics, Instrumentation, Computer Science, IT, Chemical, Metallurgical, Mining, Civil, Agricultural Engineering or equivalent.
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 |
|---|---|---|---|---|
| MER 101 | Advanced Robotics | Core | 4 | Robot Kinematics, Robot Dynamics, Trajectory Planning, Robot Sensors and Actuators, Robot Control Architectures, Industrial Robot Applications |
| MER 102 | Automation & Computer Integrated Manufacturing | Core | 4 | Automation Principles, Computer Integrated Manufacturing (CIM), CAD/CAM Integration, Flexible Manufacturing Systems (FMS), Material Handling Systems, Automated Inspection |
| MER 103 | Advanced Manufacturing Processes | Core | 4 | Unconventional Machining Processes, Advanced Welding Techniques, Rapid Prototyping and Additive Manufacturing, Surface Modification Technologies, Micro-manufacturing Processes, Process Selection and Optimization |
| MER 104 | Advanced Manufacturing Lab | Lab | 2 | CNC Programming and Machining, CAM Software Applications, Robot Simulation and Operation, Automation Software Tools, Advanced Fabrication Techniques, Metrology and Inspection Methods |
| MER 105 | Seminar | Project | 2 | Technical Literature Review, Research Topic Selection, Presentation Skills Development, Report Writing Guidelines, Current Trends in Automation, Ethical Considerations in Research |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MER 201 | Industrial Automation and Control | Core | 4 | Programmable Logic Controllers (PLC), SCADA Systems, Distributed Control Systems (DCS), Process Control Strategies, PID Controller Tuning, Industrial Communication Networks |
| MER 202 | Machine Vision and Image Processing | Core | 4 | Image Acquisition and Sensing, Image Pre-processing Techniques, Feature Extraction Algorithms, Object Recognition and Tracking, 3D Vision Systems, Machine Learning for Vision |
| MER 203 | Artificial Intelligence and Machine Learning | Elective | 4 | AI Principles and Applications, Search Algorithms and Problem Solving, Supervised Learning Algorithms, Unsupervised Learning Techniques, Neural Networks and Deep Learning, Reinforcement Learning Basics |
| MER 204 | Modern Control Systems | Elective | 4 | State Space Analysis, Controllability and Observability, Pole Placement Techniques, Optimal Control Theory, Adaptive Control Systems, Nonlinear Control Strategies |
| MER 205 | Advanced Metrology & Computer Aided Inspection | Elective | 4 | Precision Measurement Principles, Coordinate Measuring Machines (CMM), Non-contact Metrology Systems, Image Processing for Quality Control, Geometric Dimensioning and Tolerancing (GD&T), Reverse Engineering Applications |
| MER 206 | Advanced Sensors and Actuators | Elective | 4 | Smart Sensor Technologies, Transducer Design and Selection, Micro-sensors and MEMS, Electric Actuators (Servo, Stepper), Hydraulic and Pneumatic Systems, Sensor Fusion Techniques |
| MER 207 | Mechatronics System Design | Elective | 4 | Mechatronic Design Process, System Modeling and Simulation, Microcontroller-based Systems, PLC Interfacing and Programming, Sensor and Actuator Integration, Robotics and Control Applications |
| MER 208 | Flexible Manufacturing Systems | Elective | 4 | FMS Components and Architecture, Cellular Manufacturing Systems, Automated Guided Vehicles (AGVs), Automated Storage and Retrieval Systems (AS/RS), Manufacturing System Control Software, Productivity and Economic Aspects of FMS |
| MER 209 | Industrial Automation Lab | Lab | 2 | PLC Programming Exercises, SCADA System Configuration, Robot Kinematics and Control, Machine Vision System Setup, Sensor Interfacing Projects, Industrial Process Simulation |
| MER 210 | Design & Modelling Lab | Lab | 2 | CAD Software for Mechanical Design, Finite Element Analysis (FEA), Kinematic and Dynamic Simulation, System Modeling with MATLAB/Simulink, Virtual Prototyping, Optimization Techniques in Design |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MER 302 | Applied Soft Computing | Elective | 4 | Fuzzy Logic Systems, Artificial Neural Networks, Genetic Algorithms, Hybrid Soft Computing Systems, Swarm Intelligence Techniques, Rough Set Theory |
| MER 303 | Virtual Instrumentation | Elective | 4 | Introduction to LabVIEW, Data Acquisition Systems, Instrument Control and Interfacing, Signal Processing in Virtual Instruments, Virtual Prototyping and Simulation, Real-time Virtual Systems |
| MER 304 | Supply Chain Management | Elective | 4 | Supply Chain Fundamentals, Logistics and Transportation, Inventory Management Strategies, Demand Forecasting Techniques, Supply Chain Network Design, Risk Management in Supply Chains |
| MER 305 | Project Work – I | Project | 10 | Problem Identification and Scope Definition, Comprehensive Literature Review, Research Methodology Development, Preliminary Design and Planning, Simulation and Feasibility Studies, Technical Report Writing and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MER 401 | Project Work – II | Project | 20 | Experimental Setup and Implementation, Data Collection and Analysis, Results Interpretation and Discussion, Advanced Simulation and Validation, Thesis Writing and Documentation, Project Defense and Presentation |
