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M-TECH in Electronics And Instrumentation Engineering at National Institute of Technology Rourkela
Sundargarh, Odisha
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About the Specialization
What is Electronics and Instrumentation Engineering at National Institute of Technology Rourkela Sundargarh?
This M.Tech in Electronics and Instrumentation Engineering program at National Institute of Technology Rourkela focuses on equipping students with advanced knowledge and practical skills in the design, development, and application of electronic systems and instrumentation for industrial automation and control. It addresses the growing demand for specialized engineers in India''''s rapidly evolving manufacturing, energy, and healthcare sectors. The program emphasizes a blend of theoretical foundations and hands-on experience, preparing graduates for cutting-edge roles.
Who Should Apply?
This program is ideal for engineering graduates with a B.Tech in Electronics, Instrumentation, Electrical, or related fields, who possess a valid GATE score and a keen interest in advanced control systems, sensor technology, and industrial automation. It also suits working professionals seeking to upgrade their skills for roles in R&D, system integration, or process control in Indian industries. Candidates aspiring for research careers in instrumentation and automation will also find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to secure roles as Automation Engineers, Instrumentation Engineers, Control System Designers, R&D Engineers, or System Integrators in India''''s core industries. Entry-level salaries typically range from INR 6-10 LPA, with experienced professionals earning significantly more. The strong curriculum prepares students for leadership positions and specialized certifications in areas like industrial automation and process safety.
Student Success Practices
Foundation Stage
Master Core Instrumentation & Control Fundamentals- (Semester 1)
Rigorously grasp the theoretical foundations of Advanced Control Systems, Industrial Instrumentation, Advanced DSP, and Research Methodology. Dedicate time to problem-solving, simulating systems with MATLAB/Simulink, and actively participating in lab sessions.
Tools & Resources
MATLAB, Simulink, LabVIEW, NPTEL courses, Reference textbooks
Career Connection
Forms the essential base for all advanced subjects and is critical for technical interviews in core instrumentation and control roles.
Cultivate Strong Research Skills and Ethics- (Semester 1)
Leverage the ''''Research Methodology & IPR'''' course to develop effective literature review, scientific writing, and intellectual property understanding. Begin identifying potential research interests for your M.Tech project.
Tools & Resources
Scopus, Web of Science, IEEE Xplore, Mendeley/Zotero, Plagiarism checkers
Career Connection
Essential for thesis development, publishing research, and contributing to R&D departments in industry or academia.
Engage Proactively in Labs and Project Simulations- (Semester 1)
Treat lab sessions as opportunities for hands-on learning, not just completing tasks. Experiment with different parameters, troubleshoot issues, and document findings meticulously. Apply theoretical concepts to practical simulations.
Tools & Resources
Advanced Control Systems Lab, Industrial Instrumentation Lab, Simulation software (e.g., PSPICE, ANSYS)
Career Connection
Builds practical problem-solving skills, highly valued by employers for system implementation and maintenance roles.
Intermediate Stage
Advanced Stage
Program Structure and Curriculum
Eligibility:
- B.Tech. or equivalent degree in Electronics/Instrumentation/Electrical/Electrical & Electronics/Electronics & Telecommunication/Electronics & Communication/Computer Science & Engineering. OR M.Sc. in Electronics/Instrumentation/Physics with Electronics specialization. Minimum 60% marks or 6.5 CGPA (55% or 6.0 CGPA for SC/ST/PwD candidates). Valid GATE score is mandatory.
Duration: 4 semesters / 2 years
Credits: 70 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EI6101 | Advanced Control Systems | Core | 4 | State Variable Analysis, Nonlinear Control Systems, Describing Function Analysis, Lyapunov Stability Analysis, Sliding Mode Control, Adaptive Control |
| EI6103 | Advanced Industrial Instrumentation | Core | 4 | Principles of Measurement, Transducer Characteristics, Smart Transducers, Advanced Sensor Technologies, Virtual Instrumentation, Data Acquisition Systems |
| EI6105 | Advanced Digital Signal Processing | Core | 4 | Discrete Fourier Transform, Fast Fourier Transform, FIR Filter Design, IIR Filter Design, Multirate Signal Processing, Adaptive Filters |
| EI6107 | Research Methodology & IPR | Core | 4 | Research Problem Formulation, Literature Review, Research Design, Data Collection and Analysis, Report Writing, Intellectual Property Rights |
| EI6191 | Advanced Control Systems Laboratory | Lab | 2 | PLC Programming, SCADA Systems, Distributed Control Systems, Process Control Trainers, Real-time Control System Implementation, Data Acquisition |
| EI6193 | Advanced Industrial Instrumentation Lab | Lab | 2 | Sensor Calibration, Smart Sensor Interfacing, Virtual Instrumentation Projects, Transducer Performance Analysis, Data Logging, Industrial Bus Protocols |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EI6201 | Soft Computing Techniques | Core | 4 | Artificial Neural Networks, Fuzzy Logic Systems, Genetic Algorithms, Hybrid Soft Computing Systems, Swarm Intelligence, Neuro-Fuzzy Systems |
| EI6203 | Robotics and Automation | Core | 4 | Robot Kinematics, Robot Dynamics, Trajectory Planning, Robot Control, Robot Sensing, Industrial Automation Systems |
| EI6XXX | Program Elective-I | Program Elective | 4 | Selected from a pool of specialized topics including biomedical, advanced control, IoT, machine learning, optical, MEMS, image processing, renewable energy, NDT, VLSI, and VR/AR. Specific topics depend on the chosen elective. |
| EI6291 | Soft Computing and Robotics Lab | Lab | 2 | Neural Network Implementation, Fuzzy Logic Control, Genetic Algorithm Optimization, Robot Kinematics Simulation, Robot Control Programming, Vision System Integration |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EI6XXX | Program Elective-II | Program Elective | 4 | Continuation of specialized topics from the program elective pool, offering advanced insights into areas like smart systems, industrial applications, and emerging technologies. |
| EI6XXX | Program Elective-III | Program Elective | 4 | Further in-depth study in a chosen specialization area, fostering expertise in advanced instrumentation, control systems, or signal processing applications. |
| EI6XXX | Program Elective-IV | Program Elective | 4 | Advanced concepts and research-oriented topics within instrumentation, automation, and control, preparing students for industry challenges and research roles. |
| EI6399 | M.Tech. Project Part-I | Project | 6 | Literature Survey, Problem Identification, Project Proposal Development, Methodology Design, Initial Simulation/Experimentation, Report Writing |
| EI6397 | Seminar | Seminar | 2 | Technical Presentation Skills, Literature Review, Public Speaking, Scientific Communication, Topic Selection, Q&A Handling |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EI6499 | M.Tech. Project Part-II | Project | 12 | Experimental Implementation, Data Analysis, Result Interpretation, Thesis Writing, Project Defense, Innovation and Contribution |
Semester electives
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EI6211 | Biomedical Instrumentation | Elective | 4 | Biosignals Acquisition, Medical Imaging Principles, Therapeutic and Diagnostic Devices, Clinical Measurement Systems, Bio-sensor Technology, Patient Monitoring |
| EI6213 | Advanced Process Control | Elective | 4 | Multivariable Control, Model Predictive Control, Process Identification, Control Loop Tuning, Distributed Control Systems, Batch Process Automation |
| EI6215 | Internet of Things for Automation | Elective | 4 | IoT Architecture, Sensor-Actuator Networks, Communication Protocols (MQTT, CoAP), Cloud Integration, Data Analytics for IoT, Industrial IoT Security |
| EI6217 | Machine Learning for Instrumentation | Elective | 4 | Supervised Learning Algorithms, Unsupervised Learning, Deep Learning Architectures, Feature Engineering, Pattern Recognition, Predictive Maintenance |
| EI6219 | Optical Instrumentation | Elective | 4 | Fiber Optic Sensors, Interferometric Techniques, Spectroscopic Methods, Laser Instrumentation, Optical Metrology, Imaging Systems |
| EI6221 | MEMS and Microsystems | Elective | 4 | Microfabrication Techniques, Micromachined Sensors, Microactuators, Microfluidic Devices, MEMS Packaging, Nanosensors |
| EI6223 | Image Processing and Computer Vision | Elective | 4 | Image Enhancement, Segmentation Techniques, Feature Extraction, Object Detection, 3D Vision, Machine Vision Applications |
| EI6225 | Renewable Energy Systems and Control | Elective | 4 | Solar Photovoltaics, Wind Energy Systems, Grid Interfacing, Maximum Power Point Tracking, Energy Management Systems, Power Quality Control |
| EI6227 | Non-Destructive Testing and Evaluation | Elective | 4 | Ultrasonic Testing, Radiographic Testing, Eddy Current Testing, Magnetic Particle Testing, Liquid Penetrant Testing, Acoustic Emission |
| EI6229 | VLSI for Instrumentation | Elective | 4 | CMOS Design Principles, Digital IC Design, Analog IC Design, FPGA-based System Design, ASIC Design Flow, Mixed-Signal Circuit Design |
| EI6231 | Virtual Reality and Augmented Reality for Industrial Applications | Elective | 4 | VR/AR Hardware Platforms, Software Development Kits, Industrial Training Simulations, Remote Assistance, Design Prototyping, Digital Twin Integration |
